Galileo
Score breakdown
Incident historypending
Signals planned: breach-history lookup, incident response quality assessment. This category is coming soon.
Governance+0/31 bonus pts
Board-level oversight
Requires vendor submission — not yet collected.
Verification bonus+0/5 bonus pts
Claimed profile
AI safetypending
Signals planned: model card presence, training data disclosure, published red-team results. Some checks will be partially automated via website scanning; others require vendor submission.
Security hygiene & transparency7/28 pts
Source: response headers from galileo.ai · Scanned 9/6/2026
Trust page
Disclosure policy
Security headers
Source: response headers from galileo.ai · Scanned 9/6/2026
Rubric v1.3.0 · 7/28 implemented pts · click a category to see details
Score history (4 updates)
↑ improvingScore history
Grade improved: F → D-
9/6/2026
AI models used
Found in galileo.ai’s llms.txt, captured by Entropy on 9/6/2026. Not vendor-confirmed — the vendor can confirm or correct this from their dashboard.
Show what we found
- GPT-3.5 (OpenAI) — “- [Galileo Luna EFM Breakthrough](https://galileo.ai/blog/galileo-luna-breakthrough-in-llm-evaluation-beating-gpt-3-5-and-ragas): How Luna beats GPT-3.5 and RAGAS in cost and evaluation efficiency” (llms.txt)
- Gemini (Google) — “- [Gemini 2.5 Pro Overview](https://galileo.ai/model-hub/gemini-2-5-pro-overview): Gemini 2.5 Pro's conversation handling, capabilities, and cost efficiency analysis” (llms.txt)
- Claude (Anthropic) — “- [Claude Sonnet 4 Overview](https://galileo.ai/model-hub/claude-sonnet-4-overview): Claude Sonnet 4's capabilities and impact on AI development economics” (llms.txt)
- GPT-4 (OpenAI) — “- [GPT-4.1 Mini Overview](https://galileo.ai/model-hub/gpt-4-1-mini-overview): Speed, cost, and performance analysis of GPT-4.1 Mini” (llms.txt)
- Llama (Meta) — “- [Llama 3.3 70B Overview](https://galileo.ai/model-hub/llama-3.3-70b-overview): Performance benchmarks, costs, and deployment tips for Llama 3.3 70B” (llms.txt)
- DeepSeek — “- [DeepSeek-V3 Overview](https://galileo.ai/model-hub/deepseek-v3-overview): DeepSeek-V3's efficiency and performance in complex task environments” (llms.txt)
- OpenAI o-series (o1/o3/o4) — “- [DeepSeek R1 vs. OpenAI O1](https://galileo.ai/blog/deepseek-r1-vs-openai-o1-comparison): Comprehensive comparison of DeepSeek R1 and OpenAI O1 on key dimensions” (llms.txt)
- GPT-4o (OpenAI) — “- [GPT-4 vs. GPT-4o vs. GPT-4 Turbo](https://galileo.ai/blog/gpt-4-vs-gpt-4o-vs-gpt-4-turbo): Key differences among GPT-4 model variants for deployment decisions” (llms.txt)
Community Reviews
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