+
+# π‘οΈ TrustVector
+
+### Trust scores for the entire AI stack β models, agents, and MCP servers.
-> **Open-source AI assurance framework for models, MCPs, and agents**
+**Benchmarks tell you how smart an AI is. TrustVector tells you whether you can trust it in production.**
[](https://opensource.org/licenses/MIT)
-[](http://makeapullrequest.com)
[](#-current-coverage)
-[](https://github.com/Guard0-Security/TrustVector)
+[](/data/models)
+[](/data/agents)
+[](/data/mcps)
+[](http://makeapullrequest.com)
+[](https://github.com/guard0-ai/TrustVector)
-TrustVector is an evidence-based evaluation framework for AI systems, providing transparent, multi-dimensional trust scores across **security**, **privacy**, **performance**, **trust**, and **operational excellence**.
+π **[trustvector.dev](https://trustvector.dev)** Β· π **[Methodology](/docs/METHODOLOGY.md)** Β· π€ **[Contribute](/CONTRIBUTING.md)** Β· πΊοΈ **[Roadmap](/ROADMAP.md)**
-**Powered and supported by [Guard0.ai](https://guard0.ai)**
+
-π **Website**: [trustvector.dev](https://trustvector.dev)
-π **Documentation**: [/methodology](/methodology)
-π€ **Contributing**: [/contribute](/contribute)
-πΊοΈ **Roadmap**: [ROADMAP.md](/ROADMAP.md)
-π **Security**: [SECURITY.md](/SECURITY.md)
-π **Code of Conduct**: [CODE_OF_CONDUCT.md](/CODE_OF_CONDUCT.md)
+
-**[β Star on GitHub](https://github.com/Guard0-Security/TrustVector)** Β· **[π€ Contribute](/contribute)** Β· **[π Read Docs](/methodology)**
+**[β Star on GitHub](https://github.com/guard0-ai/TrustVector)** Β· **[π€ Contribute an evaluation](/CONTRIBUTING.md)** Β· **[π Read the methodology](/docs/METHODOLOGY.md)**
Made with β€οΈ by [Guard0.ai](https://guard0.ai) and the TrustVector community
+*Trust, but verify β then version-control the verification.*
+
diff --git a/data/models/claude-fable-5.json b/data/models/claude-fable-5.json
index e429f3f..a04530d 100644
--- a/data/models/claude-fable-5.json
+++ b/data/models/claude-fable-5.json
@@ -3,12 +3,11 @@
"type": "model",
"name": "Claude Fable 5",
"provider": "Anthropic",
- "version": "claude-fable-5",
+ "version": "20260609",
"last_evaluated": "2026-06-10",
"evaluated_by": "TrustVector Team",
"description": "Anthropic's new top-tier model above Opus and the first generally available Mythos-class model. State-of-the-art on nearly all tested benchmarks at launch, including the highest frontier score on Cognition's FrontierCode. Adaptive thinking only, 1M context, 128K output.",
"website": "https://www.anthropic.com/news/claude-fable-5-mythos-5",
-
"trust_vector": {
"performance_reliability": {
"overall_score": 98,
@@ -135,7 +134,6 @@
},
"notes": "Current highest-performing model in the registry. SOTA on nearly all tested benchmarks at launch, including the top frontier score on Cognition's FrontierCode. Latency data is preliminary (released 2026-06-09)."
},
-
"security": {
"overall_score": 92,
"criteria": {
@@ -212,7 +210,6 @@
},
"notes": "Frontier-tier safety posture; the unrestricted Mythos-class research model (Claude Mythos 5) is limited to research partners while Fable 5 is the generally available variant. Independent red-team coverage still accumulating at launch."
},
-
"privacy_compliance": {
"overall_score": 93,
"criteria": {
@@ -303,7 +300,6 @@
},
"notes": "Same strong Anthropic compliance posture as the Opus line: SOC 2 Type II, GDPR, HIPAA-eligible, training opt-out by default for API traffic."
},
-
"trust_transparency": {
"overall_score": 88,
"criteria": {
@@ -409,7 +405,6 @@
},
"notes": "Strong documentation and guardrails. Thinking content is omitted by default (summarized display is opt-in), which slightly reduces out-of-the-box reasoning visibility compared to older Opus defaults."
},
-
"operational_excellence": {
"overall_score": 91,
"criteria": {
@@ -426,7 +421,7 @@
],
"methodology": "Review of API design, consistency, and feature completeness",
"last_verified": "2026-06-10",
- "notes": "One new breaking change vs Opus 4.8: explicit thinking disabled returns 400 β omit the thinking parameter instead. No temperature/top_p sampling parameters."
+ "notes": "One new breaking change vs Opus 4.8: explicit thinking disabled returns 400 \u2014 omit the thinking parameter instead. No temperature/top_p sampling parameters."
},
"sdk_quality": {
"score": 93,
@@ -492,7 +487,7 @@
"source": "Anthropic Launch Announcement",
"url": "https://www.anthropic.com/news/claude-fable-5-mythos-5",
"date": "2026-06-09",
- "value": "Available on the Anthropic API at launch; first generally available Mythos-class model β cloud-provider rollout following"
+ "value": "Available on the Anthropic API at launch; first generally available Mythos-class model \u2014 cloud-provider rollout following"
}
],
"methodology": "Analysis of third-party integrations and availability surfaces",
@@ -517,60 +512,88 @@
"notes": "Same API surface as Opus 4.7/4.8 makes adoption straightforward for existing Claude users. Day-old release means ecosystem and operational track record are still maturing."
}
},
-
"use_case_ratings": {
"code-generation": {
"overall": 98,
"notes": "Highest frontier score on Cognition's FrontierCode and SOTA on tested coding benchmarks at launch. Best-in-registry for the hardest software engineering work; xhigh effort recommended.",
- "alternatives": ["claude-opus-4-8", "gpt-5-3-codex"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gpt-5-3-codex"
+ ]
},
"customer-support": {
"overall": 88,
"notes": "Exceptional quality but premium pricing ($10/$50) and latency make it overkill for routine support; reserve for complex escalations.",
- "alternatives": ["claude-sonnet-4-6", "claude-haiku-4-5"]
+ "alternatives": [
+ "claude-sonnet-4-6",
+ "claude-haiku-4-5"
+ ]
},
"content-creation": {
"overall": 95,
"notes": "Top-tier long-form writing with strong structure and voice control. Effort parameter lets teams trade cost for polish on flagship pieces.",
- "alternatives": ["claude-opus-4-8", "gpt-5-5"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gpt-5-5"
+ ]
},
"data-analysis": {
"overall": 97,
"notes": "SOTA quantitative reasoning with 1M context for whole-dataset and multi-document analysis.",
- "alternatives": ["claude-opus-4-8", "gemini-3-1-pro"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gemini-3-1-pro"
+ ]
},
"research-assistant": {
"overall": 97,
"notes": "Best-in-registry deep research: 1M context, adaptive thinking, and strong synthesis across large corpora.",
- "alternatives": ["claude-opus-4-8", "gemini-3-1-pro"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gemini-3-1-pro"
+ ]
},
"legal-compliance": {
"overall": 93,
"notes": "Strong privacy posture (SOC 2 Type II, GDPR, HIPAA-eligible) and excellent long-document analysis; launch-recency may matter for conservative legal teams.",
- "alternatives": ["claude-opus-4-8", "claude-sonnet-4-6"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "claude-sonnet-4-6"
+ ]
},
"healthcare": {
"overall": 91,
"notes": "HIPAA eligible with training opt-out by default. Highest accuracy in the registry for clinical reasoning, though real-world validation is still early post-launch.",
- "alternatives": ["claude-opus-4-8", "claude-sonnet-4-6"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "claude-sonnet-4-6"
+ ]
},
"financial-analysis": {
"overall": 96,
"notes": "SOTA quantitative and multi-step reasoning; 1M context handles full filings and model workbooks in one pass.",
- "alternatives": ["claude-opus-4-8", "gpt-5-5"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gpt-5-5"
+ ]
},
"education": {
"overall": 94,
"notes": "Excellent explanations with effort-adjustable depth; premium pricing limits high-volume tutoring deployments.",
- "alternatives": ["claude-sonnet-4-6", "gpt-5-5"]
+ "alternatives": [
+ "claude-sonnet-4-6",
+ "gpt-5-5"
+ ]
},
"creative-writing": {
"overall": 93,
- "notes": "Strong narrative craft and stylistic range. No temperature/top_p controls β variance must be elicited via prompting.",
- "alternatives": ["claude-opus-4-8", "gpt-5-5"]
+ "notes": "Strong narrative craft and stylistic range. No temperature/top_p controls \u2014 variance must be elicited via prompting.",
+ "alternatives": [
+ "claude-opus-4-8",
+ "gpt-5-5"
+ ]
}
},
-
"strengths": [
"State-of-the-art on nearly all tested benchmarks at launch; highest-performing model in the registry",
"Highest frontier score on Cognition's FrontierCode coding benchmark",
@@ -579,29 +602,25 @@
"Adaptive thinking with effort parameter (low/medium/high/xhigh/max) for cost/quality control",
"Strong compliance posture: SOC 2 Type II, GDPR, HIPAA-eligible, training opt-out by default for API"
],
-
"limitations": [
"Premium pricing at $10/$50 per 1M tokens (2x Opus 4.8)",
- "Adaptive thinking only β no manual thinking budgets, and no temperature/top_p sampling parameters",
+ "Adaptive thinking only \u2014 no manual thinking budgets, and no temperature/top_p sampling parameters",
"Explicit thinking-disabled requests return 400 (omit the thinking parameter instead)",
- "Released 2026-06-09 β independent benchmark replication and operational track record still limited",
+ "Released 2026-06-09 \u2014 independent benchmark replication and operational track record still limited",
"Higher latency than Sonnet/Haiku tiers, especially at xhigh/max effort"
],
-
"best_for": [
"Frontier-difficulty software engineering and long-horizon agentic coding",
"Deep research and analysis over very large corpora (1M context)",
"High-stakes reasoning where accuracy justifies premium cost",
"Enterprise workloads requiring strong compliance with top-tier capability"
],
-
"not_recommended_for": [
"Cost-sensitive high-volume inference (use Sonnet or Haiku tiers)",
"Real-time applications requiring sub-second latency",
"Workflows that depend on temperature/top_p sampling controls",
"Audio processing applications"
],
-
"metadata": {
"pricing": {
"input": "$10.00 per 1M tokens",
@@ -624,7 +643,12 @@
"Arabic",
"Hindi"
],
- "modalities": ["text", "image (input)", "document", "computer-use"],
+ "modalities": [
+ "text",
+ "image (input)",
+ "document",
+ "computer-use"
+ ],
"api_endpoint": "https://api.anthropic.com/v1/messages",
"api_model_id": "claude-fable-5",
"open_source": false,
@@ -633,9 +657,13 @@
"knowledge_cutoff": "Not disclosed",
"release_date": "2026-06-09"
},
-
- "related_entities": ["claude-opus-4-8", "claude-opus-4-7", "claude-sonnet-4-6", "gpt-5-5", "gemini-3-1-pro"],
-
+ "related_entities": [
+ "claude-opus-4-8",
+ "claude-opus-4-7",
+ "claude-sonnet-4-6",
+ "gpt-5-5",
+ "gemini-3-1-pro"
+ ],
"tags": [
"coding",
"reasoning",
diff --git a/data/models/claude-opus-4-7.json b/data/models/claude-opus-4-7.json
index 20b8599..5ad1f89 100644
--- a/data/models/claude-opus-4-7.json
+++ b/data/models/claude-opus-4-7.json
@@ -3,12 +3,11 @@
"type": "model",
"name": "Claude Opus 4.7",
"provider": "Anthropic",
- "version": "claude-opus-4-7",
+ "version": "20260416",
"last_evaluated": "2026-06-10",
"evaluated_by": "TrustVector Team",
"description": "Previous-generation Opus flagship, superseded by Opus 4.8. 64.3% SWE-Bench Pro and 94.2% GPQA Diamond at launch. First Claude with high-resolution vision (2576px long edge, pixel-accurate coordinates), task budgets (beta), and the xhigh effort level.",
"website": "https://www.anthropic.com/news/claude-opus-4-7",
-
"trust_vector": {
"performance_reliability": {
"overall_score": 95,
@@ -135,7 +134,6 @@
},
"notes": "Was Anthropic's most capable model at launch (2026-04-16); now the previous-generation Opus behind Opus 4.8. Remains a strong, fully supported flagship-class choice, especially for vision-heavy workloads."
},
-
"security": {
"overall_score": 91,
"criteria": {
@@ -212,7 +210,6 @@
},
"notes": "Introduced real-time cybersecurity safeguards to the Opus line. Strong overall posture carried forward into Opus 4.8."
},
-
"privacy_compliance": {
"overall_score": 93,
"criteria": {
@@ -303,7 +300,6 @@
},
"notes": "Standard Anthropic enterprise compliance posture: SOC 2 Type II, GDPR, HIPAA-eligible, training opt-out by default for API traffic."
},
-
"trust_transparency": {
"overall_score": 87,
"criteria": {
@@ -315,12 +311,12 @@
"source": "Anthropic Adaptive Thinking Documentation",
"url": "https://platform.claude.com/docs/en/build-with-claude/adaptive-thinking",
"date": "2026-04-16",
- "value": "Adaptive thinking with effort control; thinking content omitted by default β summarized display is opt-in"
+ "value": "Adaptive thinking with effort control; thinking content omitted by default \u2014 summarized display is opt-in"
}
],
"methodology": "Evaluation of reasoning transparency and explanation capabilities",
"last_verified": "2026-06-10",
- "notes": "First Opus where thinking text defaults to omitted β a transparency regression vs Opus 4.6 defaults, recoverable via display: summarized"
+ "notes": "First Opus where thinking text defaults to omitted \u2014 a transparency regression vs Opus 4.6 defaults, recoverable via display: summarized"
},
"hallucination_rate": {
"score": 88,
@@ -409,7 +405,6 @@
},
"notes": "Strong documentation and guardrails. Thinking content omitted by default reduces out-of-the-box reasoning visibility; opt in to summarized display if reasoning is surfaced to users."
},
-
"operational_excellence": {
"overall_score": 91,
"criteria": {
@@ -421,7 +416,7 @@
"source": "Anthropic Migration Guide",
"url": "https://platform.claude.com/docs/en/about-claude/models/migration-guide",
"date": "2026-04-16",
- "value": "Introduced the xhigh effort level and task budgets (beta); adaptive thinking only β budget_tokens and temperature/top_p/top_k removed"
+ "value": "Introduced the xhigh effort level and task budgets (beta); adaptive thinking only \u2014 budget_tokens and temperature/top_p/top_k removed"
}
],
"methodology": "Review of API design, consistency, and feature completeness",
@@ -516,60 +511,88 @@
"notes": "Mature operational profile. Superseded by Opus 4.8 as the flagship Opus, but remains fully supported at the same $5/$25 price; upgrade to 4.8 is a drop-in model-ID swap."
}
},
-
"use_case_ratings": {
"code-generation": {
"overall": 95,
- "notes": "64.3% SWE-Bench Pro with strong long-horizon agentic coding and improved bug-finding. Superseded by Opus 4.8 at the same price β prefer 4.8 for new builds.",
- "alternatives": ["claude-opus-4-8", "gpt-5-3-codex"]
+ "notes": "64.3% SWE-Bench Pro with strong long-horizon agentic coding and improved bug-finding. Superseded by Opus 4.8 at the same price \u2014 prefer 4.8 for new builds.",
+ "alternatives": [
+ "claude-opus-4-8",
+ "gpt-5-3-codex"
+ ]
},
"customer-support": {
"overall": 88,
"notes": "High quality but more clipped, direct tone than 4.8; Sonnet/Haiku tiers are more cost-effective for routine volume.",
- "alternatives": ["claude-sonnet-4-6", "claude-haiku-4-5"]
+ "alternatives": [
+ "claude-sonnet-4-6",
+ "claude-haiku-4-5"
+ ]
},
"content-creation": {
"overall": 91,
"notes": "Strong long-form output, though more terse and less warm than Opus 4.8 by default; style is prompt-tunable.",
- "alternatives": ["claude-opus-4-8", "gpt-5-5"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gpt-5-5"
+ ]
},
"data-analysis": {
"overall": 94,
"notes": "Excellent analytical depth; high-resolution vision enables pixel-level chart and figure transcription.",
- "alternatives": ["claude-opus-4-8", "gemini-3-1-pro"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gemini-3-1-pro"
+ ]
},
"research-assistant": {
"overall": 94,
"notes": "Strong deep research with 1M context and improved file-based memory; Opus 4.8 improves further on long-horizon coherence.",
- "alternatives": ["claude-opus-4-8", "gemini-3-1-pro"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gemini-3-1-pro"
+ ]
},
"legal-compliance": {
"overall": 92,
"notes": "Strong privacy posture (SOC 2 Type II, GDPR, HIPAA-eligible) and literal instruction following suited to compliance pipelines.",
- "alternatives": ["claude-opus-4-8", "claude-sonnet-4-6"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "claude-sonnet-4-6"
+ ]
},
"healthcare": {
"overall": 90,
"notes": "HIPAA eligible with training opt-out by default; high-resolution vision aids medical document and chart understanding.",
- "alternatives": ["claude-opus-4-8", "claude-sonnet-4-6"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "claude-sonnet-4-6"
+ ]
},
"financial-analysis": {
"overall": 93,
"notes": "Excellent quantitative reasoning; pixel-accurate chart reading and 1M context handle full filings and figures.",
- "alternatives": ["claude-opus-4-8", "gpt-5-5"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gpt-5-5"
+ ]
},
"education": {
"overall": 92,
"notes": "Clear, precise explanations with effort-adjustable depth; more literal style benefits structured curricula.",
- "alternatives": ["claude-sonnet-4-6", "gpt-5-5"]
+ "alternatives": [
+ "claude-sonnet-4-6",
+ "gpt-5-5"
+ ]
},
"creative-writing": {
"overall": 89,
"notes": "Capable but more clipped and direct than Opus 4.8's warmer voice; no sampling parameters, so variety must be prompted.",
- "alternatives": ["claude-opus-4-8", "gpt-5-5"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gpt-5-5"
+ ]
}
},
-
"strengths": [
"64.3% SWE-Bench Pro and 94.2% GPQA Diamond at launch",
"First Claude with high-resolution vision: 2576px long edge with pixel-accurate coordinates",
@@ -578,29 +601,25 @@
"More literal, predictable instruction following for tuned pipelines",
"Strong compliance posture: SOC 2 Type II, GDPR, HIPAA-eligible, training opt-out by default"
],
-
"limitations": [
"Superseded by Opus 4.8 as the current flagship Opus (same price, drop-in upgrade)",
- "Adaptive thinking only β budget_tokens and temperature/top_p/top_k return 400",
+ "Adaptive thinking only \u2014 budget_tokens and temperature/top_p/top_k return 400",
"Thinking content omitted by default; summarized display requires opt-in",
"Full-resolution images can use up to ~3x more image tokens than prior models",
"Reaches for tools and subagents less often than Opus 4.6 without explicit prompting"
],
-
"best_for": [
"Vision-heavy workloads: screenshots, computer use, chart and document understanding",
"Structured extraction and tuned pipelines that benefit from literal instruction following",
"Long-horizon agentic coding where Opus 4.8 has not yet been qualified",
"Teams pinned to a validated model version for reproducibility"
],
-
"not_recommended_for": [
"New deployments where Opus 4.8 is available at the same price with better performance",
"Real-time applications requiring sub-second latency",
"Cost-sensitive high-volume inference (use Sonnet or Haiku tiers)",
"Workflows that depend on temperature/top_p sampling controls"
],
-
"metadata": {
"pricing": {
"input": "$5.00 per 1M tokens",
@@ -623,7 +642,12 @@
"Arabic",
"Hindi"
],
- "modalities": ["text", "image (input, high-resolution)", "document", "computer-use"],
+ "modalities": [
+ "text",
+ "image (input, high-resolution)",
+ "document",
+ "computer-use"
+ ],
"api_endpoint": "https://api.anthropic.com/v1/messages",
"api_model_id": "claude-opus-4-7",
"open_source": false,
@@ -632,9 +656,13 @@
"knowledge_cutoff": "Not disclosed",
"release_date": "2026-04-16"
},
-
- "related_entities": ["claude-opus-4-8", "claude-fable-5", "claude-opus-4-6", "claude-sonnet-4-6", "gpt-5-4"],
-
+ "related_entities": [
+ "claude-opus-4-8",
+ "claude-fable-5",
+ "claude-opus-4-6",
+ "claude-sonnet-4-6",
+ "gpt-5-4"
+ ],
"tags": [
"coding",
"reasoning",
diff --git a/data/models/claude-opus-4-8.json b/data/models/claude-opus-4-8.json
index 1181b28..2e7c73f 100644
--- a/data/models/claude-opus-4-8.json
+++ b/data/models/claude-opus-4-8.json
@@ -3,12 +3,11 @@
"type": "model",
"name": "Claude Opus 4.8",
"provider": "Anthropic",
- "version": "claude-opus-4-8",
+ "version": "20260528",
"last_evaluated": "2026-06-10",
"evaluated_by": "TrustVector Team",
"description": "Anthropic's flagship Opus model with state-of-the-art long-horizon agentic execution, knowledge work, and memory. 84% on Online-Mind2Web, dynamic multi-subagent workflows, ~4x less likely to miss its own code flaws than its predecessor, and 1M context at standard pricing.",
"website": "https://www.anthropic.com/news/claude-opus-4-8",
-
"trust_vector": {
"performance_reliability": {
"overall_score": 96,
@@ -135,7 +134,6 @@
},
"notes": "Current flagship Opus. State-of-the-art long-horizon agentic execution, knowledge work, and memory; 84% Online-Mind2Web; dynamic multi-subagent workflows. Superseded only by the higher-tier Claude Fable 5."
},
-
"security": {
"overall_score": 92,
"criteria": {
@@ -212,7 +210,6 @@
},
"notes": "Strong safety posture with agentic-specific safeguards. Mid-session system prompts (beta) give operators a non-spoofable instruction channel for long-running sessions."
},
-
"privacy_compliance": {
"overall_score": 93,
"criteria": {
@@ -303,7 +300,6 @@
},
"notes": "Standard Anthropic enterprise compliance posture: SOC 2 Type II, GDPR, HIPAA-eligible, training opt-out by default for API traffic."
},
-
"trust_transparency": {
"overall_score": 88,
"criteria": {
@@ -406,9 +402,8 @@
"last_verified": "2026-06-10"
}
},
- "notes": "More deliberate and transparent in long agentic runs than Opus 4.7 β narrates progress, flags uncertainty, and self-verifies code. Thinking text remains omitted by default."
+ "notes": "More deliberate and transparent in long agentic runs than Opus 4.7 \u2014 narrates progress, flags uncertainty, and self-verifies code. Thinking text remains omitted by default."
},
-
"operational_excellence": {
"overall_score": 91,
"criteria": {
@@ -420,7 +415,7 @@
"source": "Anthropic Migration Guide",
"url": "https://platform.claude.com/docs/en/about-claude/models/migration-guide",
"date": "2026-05-28",
- "value": "Same API surface as Opus 4.7 β no new breaking changes; adds mid-session system prompts (beta)"
+ "value": "Same API surface as Opus 4.7 \u2014 no new breaking changes; adds mid-session system prompts (beta)"
}
],
"methodology": "Review of API design, consistency, and feature completeness",
@@ -515,78 +510,104 @@
"notes": "Drop-in upgrade from Opus 4.7 (identical API surface). 1M context at standard pricing with no long-context premium; optional fast mode at $10/$50."
}
},
-
"use_case_ratings": {
"code-generation": {
"overall": 97,
"notes": "State-of-the-art long-horizon agentic coding; ~4x less likely to miss its own code flaws than Opus 4.7. Best value flagship for software engineering at $5/$25.",
- "alternatives": ["claude-fable-5", "gpt-5-3-codex"]
+ "alternatives": [
+ "claude-fable-5",
+ "gpt-5-3-codex"
+ ]
},
"customer-support": {
"overall": 89,
"notes": "Excellent quality with warmer, clearer writing than Opus 4.7, but Sonnet/Haiku tiers are more cost-effective for routine volume.",
- "alternatives": ["claude-sonnet-4-6", "claude-haiku-4-5"]
+ "alternatives": [
+ "claude-sonnet-4-6",
+ "claude-haiku-4-5"
+ ]
},
"content-creation": {
"overall": 94,
- "notes": "Clearer, warmer, less hedged prose than prior Opus models β approaches expert-level structure at higher effort.",
- "alternatives": ["claude-fable-5", "gpt-5-5"]
+ "notes": "Clearer, warmer, less hedged prose than prior Opus models \u2014 approaches expert-level structure at higher effort.",
+ "alternatives": [
+ "claude-fable-5",
+ "gpt-5-5"
+ ]
},
"data-analysis": {
"overall": 95,
"notes": "Strong analytical depth with 1M context for whole-dataset work; dynamic multi-subagent workflows fan out across large analyses.",
- "alternatives": ["claude-fable-5", "gemini-3-1-pro"]
+ "alternatives": [
+ "claude-fable-5",
+ "gemini-3-1-pro"
+ ]
},
"research-assistant": {
"overall": 96,
"notes": "State-of-the-art knowledge work and memory; excels at multi-day research with file-based memory and 1M context.",
- "alternatives": ["claude-fable-5", "gemini-3-1-pro"]
+ "alternatives": [
+ "claude-fable-5",
+ "gemini-3-1-pro"
+ ]
},
"legal-compliance": {
"overall": 93,
"notes": "Strong privacy posture (SOC 2 Type II, GDPR, HIPAA-eligible) and thorough long-document analysis at 1M context with no long-context premium.",
- "alternatives": ["claude-fable-5", "claude-sonnet-4-6"]
+ "alternatives": [
+ "claude-fable-5",
+ "claude-sonnet-4-6"
+ ]
},
"healthcare": {
"overall": 91,
"notes": "HIPAA eligible with training opt-out by default. Deliberate, uncertainty-flagging behavior suits clinical documentation.",
- "alternatives": ["claude-fable-5", "claude-sonnet-4-6"]
+ "alternatives": [
+ "claude-fable-5",
+ "claude-sonnet-4-6"
+ ]
},
"financial-analysis": {
"overall": 94,
"notes": "Excellent quantitative reasoning and knowledge work; handles full filings and model workbooks in one context window.",
- "alternatives": ["claude-fable-5", "gpt-5-5"]
+ "alternatives": [
+ "claude-fable-5",
+ "gpt-5-5"
+ ]
},
"education": {
"overall": 93,
"notes": "Clear, warm explanations with effort-adjustable depth; strong thought-partner behavior that pushes back constructively.",
- "alternatives": ["claude-sonnet-4-6", "gpt-5-5"]
+ "alternatives": [
+ "claude-sonnet-4-6",
+ "gpt-5-5"
+ ]
},
"creative-writing": {
"overall": 92,
- "notes": "Warmer, less hedged voice with fewer AI vocal tics than 4.7. No sampling parameters β variety must be prompted.",
- "alternatives": ["claude-fable-5", "gpt-5-5"]
+ "notes": "Warmer, less hedged voice with fewer AI vocal tics than 4.7. No sampling parameters \u2014 variety must be prompted.",
+ "alternatives": [
+ "claude-fable-5",
+ "gpt-5-5"
+ ]
}
},
-
"strengths": [
"State-of-the-art long-horizon agentic execution, knowledge work, and memory",
"84% on Online-Mind2Web live web-agent benchmark",
"~4x less likely to miss flaws in its own code than Opus 4.7",
"Dynamic multi-subagent workflows for parallel fan-out",
"1M context at standard pricing (no long-context premium), 128K output",
- "Mid-session system prompts (beta) β injection-safe operator channel that preserves prompt cache",
- "Same API surface as Opus 4.7 β drop-in upgrade with no new breaking changes"
+ "Mid-session system prompts (beta) \u2014 injection-safe operator channel that preserves prompt cache",
+ "Same API surface as Opus 4.7 \u2014 drop-in upgrade with no new breaking changes"
],
-
"limitations": [
- "Adaptive thinking only β no manual thinking budgets, no temperature/top_p sampling parameters",
+ "Adaptive thinking only \u2014 no manual thinking budgets, no temperature/top_p sampling parameters",
"More deliberate by default: asks clarifying questions more often unless granted explicit autonomy",
- "Narrates more between tool calls than 4.7 β needs a silence-default prompt for terse agents",
+ "Narrates more between tool calls than 4.7 \u2014 needs a silence-default prompt for terse agents",
"Conservative about reaching for search, subagents, and custom tools without explicit triggering guidance",
"Higher latency than Sonnet/Haiku tiers; fast mode doubles cost to $10/$50"
],
-
"best_for": [
"Long-horizon autonomous coding runs and complex refactors",
"Knowledge work over very large document sets (1M context, no premium)",
@@ -594,14 +615,12 @@
"Memory-dependent agents that persist context across sessions",
"Enterprise workloads requiring strong compliance"
],
-
"not_recommended_for": [
"Real-time applications requiring sub-second latency",
"Cost-sensitive high-volume inference (use Sonnet or Haiku tiers)",
"Workflows that depend on temperature/top_p sampling controls",
"Audio processing applications"
],
-
"metadata": {
"pricing": {
"input": "$5.00 per 1M tokens",
@@ -624,7 +643,12 @@
"Arabic",
"Hindi"
],
- "modalities": ["text", "image (input)", "document", "computer-use"],
+ "modalities": [
+ "text",
+ "image (input)",
+ "document",
+ "computer-use"
+ ],
"api_endpoint": "https://api.anthropic.com/v1/messages",
"api_model_id": "claude-opus-4-8",
"open_source": false,
@@ -633,9 +657,13 @@
"knowledge_cutoff": "Not disclosed",
"release_date": "2026-05-28"
},
-
- "related_entities": ["claude-fable-5", "claude-opus-4-7", "claude-sonnet-4-6", "gpt-5-5", "gemini-3-1-pro"],
-
+ "related_entities": [
+ "claude-fable-5",
+ "claude-opus-4-7",
+ "claude-sonnet-4-6",
+ "gpt-5-5",
+ "gemini-3-1-pro"
+ ],
"tags": [
"coding",
"reasoning",
diff --git a/data/models/gemma-4.json b/data/models/gemma-4.json
index 1d5cc6f..89ff0ad 100644
--- a/data/models/gemma-4.json
+++ b/data/models/gemma-4.json
@@ -3,12 +3,11 @@
"type": "model",
"name": "Gemma 4",
"provider": "Google",
- "version": "gemma-4",
+ "version": "4.0",
"last_evaluated": "2026-06-10",
"evaluated_by": "TrustVector Team",
"description": "Google's open-weight family released April 2026 under Apache 2.0 (a shift from the custom Gemma license). Spans E2B/E4B edge models with 128K context and native audio up to a 31B dense model with 256K context. The 31B scores ~1452 on LMArena, No. 3 among open models.",
"website": "https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/",
-
"trust_vector": {
"performance_reliability": {
"overall_score": 82,
@@ -114,7 +113,6 @@
},
"notes": "Strongest open-weight showing from Google to date: 31B at ~1452 LMArena (No. 3 open). MoE 26B-A4B offers near-dense quality at 4B active params. Performance below proprietary frontier but excellent per-parameter efficiency."
},
-
"security": {
"overall_score": 78,
"criteria": {
@@ -191,7 +189,6 @@
},
"notes": "Security profile is deployment-dependent: excellent data isolation when self-hosted, but guardrails are removable and there is no managed abuse filtering unless the deployer adds it (e.g., ShieldGemma, Vertex AI)."
},
-
"privacy_compliance": {
"overall_score": 84,
"criteria": {
@@ -282,7 +279,6 @@
},
"notes": "Best-in-class data sovereignty: nothing leaves deployer infrastructure. The trade-off is that compliance certifications are not inherited from the model and must be built or bought by the deployer."
},
-
"trust_transparency": {
"overall_score": 80,
"criteria": {
@@ -387,7 +383,6 @@
},
"notes": "High transparency by open-model standards: published technical report, architecture disclosure (including MoE active-parameter counts), and fully auditable weights. Apache 2.0 relicensing further reduces legal opacity."
},
-
"operational_excellence": {
"overall_score": 80,
"criteria": {
@@ -483,7 +478,7 @@
"source": "Google Gemma 4 Announcement",
"url": "https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4/",
"date": "2026-04-02",
- "value": "Apache 2.0 β a shift from the custom Gemma license, removing use-restriction ambiguity for commercial deployment"
+ "value": "Apache 2.0 \u2014 a shift from the custom Gemma license, removing use-restriction ambiguity for commercial deployment"
}
],
"methodology": "License analysis; Apache 2.0 is OSI-approved with no usage restrictions",
@@ -493,50 +488,65 @@
"notes": "Apache 2.0 relicensing is the headline trust improvement: prior Gemma generations carried custom-license use restrictions. Operational burden (monitoring, scaling, support) falls on the deployer, as with any open-weight model."
}
},
-
"use_case_ratings": {
"code-generation": {
"overall": 80,
"notes": "Capable for an open model, especially 31B with 256K context, but well below frontier proprietary coding models.",
- "alternatives": ["qwen3-5", "llama-4-maverick"]
+ "alternatives": [
+ "qwen3-5",
+ "llama-4-maverick"
+ ]
},
"customer-support": {
"overall": 82,
"notes": "26B-A4B MoE (4B active) gives strong quality at low serving cost for high-volume support; E4B enables on-device assistants.",
- "alternatives": ["gemini-3-flash", "qwen3-5"]
+ "alternatives": [
+ "gemini-3-flash",
+ "qwen3-5"
+ ]
},
"content-creation": {
"overall": 80,
"notes": "Solid drafting quality at 31B (~1452 LMArena); fully private content pipelines possible.",
- "alternatives": ["llama-4-maverick", "gemini-3-5-flash"]
+ "alternatives": [
+ "llama-4-maverick",
+ "gemini-3-5-flash"
+ ]
},
"education": {
"overall": 81,
"notes": "E2B/E4B with native audio enable offline, on-device tutoring in low-connectivity settings.",
- "alternatives": ["gemma-3-27b", "gemini-3-flash"]
+ "alternatives": [
+ "gemma-3-27b",
+ "gemini-3-flash"
+ ]
},
"healthcare": {
"overall": 76,
"notes": "Self-hosting suits strict data sovereignty (PHI never leaves infrastructure), but deployer carries the full compliance and accuracy-validation burden.",
- "alternatives": ["claude-opus-4-8", "gemini-3-1-pro"]
+ "alternatives": [
+ "claude-opus-4-8",
+ "gemini-3-1-pro"
+ ]
},
"research-assistant": {
"overall": 78,
"notes": "256K context on 31B handles long documents; auditable weights suit reproducible research. Reasoning depth below frontier.",
- "alternatives": ["gemini-3-1-pro", "qwen3-5"]
+ "alternatives": [
+ "gemini-3-1-pro",
+ "qwen3-5"
+ ]
}
},
-
"strengths": [
- "Apache 2.0 license β removes custom-license restrictions of prior Gemma generations",
+ "Apache 2.0 license \u2014 removes custom-license restrictions of prior Gemma generations",
"Top-3 open model: 31B at ~1452 LMArena Elo",
"Efficient MoE: 26B-A4B reaches ~1441 Elo with only 4B active parameters",
"Full data sovereignty: self-hosted inference, zero data leaves deployer",
"Edge-capable E2B/E4B variants with 128K context and native audio",
- "256K context on 12B/26B/31B variants β large for open weights",
+ "256K context on 12B/26B/31B variants \u2014 large for open weights",
"Multimodal input: text, image, and video"
],
-
"limitations": [
"No inherited compliance certifications; deployer builds or buys SOC 2/HIPAA posture",
"Safety guardrails removable via fine-tuning (inherent to open weights)",
@@ -545,7 +555,6 @@
"Operational burden (serving, scaling, monitoring) falls on deployer",
"Performance varies significantly with quantization choices"
],
-
"best_for": [
"Data-sovereign deployments (on-prem, air-gapped, regulated environments)",
"On-device and edge AI (E2B/E4B with native audio)",
@@ -553,13 +562,11 @@
"Fine-tuning and domain adaptation under a permissive license",
"Research requiring auditable, reproducible model weights"
],
-
"not_recommended_for": [
"Frontier-grade reasoning or coding without fine-tuning",
"Teams wanting a managed API with SLAs and built-in safety filtering",
"Compliance-critical workloads without in-house security engineering"
],
-
"metadata": {
"pricing": {
"input": "Free (open weights; compute costs only)",
@@ -569,8 +576,16 @@
},
"context_window": 262144,
"max_output": 32768,
- "languages": ["English", "140+ languages"],
- "modalities": ["text", "image (input)", "video (input)", "audio (input, E2B/E4B)"],
+ "languages": [
+ "English",
+ "140+ languages"
+ ],
+ "modalities": [
+ "text",
+ "image (input)",
+ "video (input)",
+ "audio (input, E2B/E4B)"
+ ],
"api_endpoint": "https://huggingface.co/google",
"open_source": true,
"architecture": "Family: E2B (2.3B effective) and E4B (4.5B) edge models; 12B dense; 26B-A4B MoE (4B active); 31B dense",
@@ -578,9 +593,12 @@
"knowledge_cutoff": "Late 2025 (not officially confirmed)",
"release_date": "2026-04-02"
},
-
- "related_entities": ["gemma-3-27b", "gemini-3-1-pro", "llama-4-maverick", "qwen3-5"],
-
+ "related_entities": [
+ "gemma-3-27b",
+ "gemini-3-1-pro",
+ "llama-4-maverick",
+ "qwen3-5"
+ ],
"tags": [
"open-source",
"apache-2-0",
diff --git "a/screenshots/Screenshot 2025-11-16 at 7.33.29\342\200\257PM.png" "b/screenshots/Screenshot 2025-11-16 at 7.33.29\342\200\257PM.png"
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index 31cf2dd..a4b3179 100644
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+