Best LLM for Government / FedRAMP

Ranked on FedRAMP / IL authorization, data sovereignty, and reasoning quality. Certification pillar dominates.

Updated April 2026. Top 3 this month: GPT-5, Gemini 2 Pro, Claude Opus 4.7.

How we rank

US government and defense workloads require FedRAMP authorization (Moderate or High) and often IL4/IL5. We rank based on availability of authorized endpoints (Azure OpenAI Gov, AWS Bedrock GovCloud, Google Public Sector), then reasoning quality, then price.

Pillars and weights: FedRAMP (50%) · MMLU (20%) · data sovereignty (15%) · price (15%). Our full methodology is published on the methodology page.

Top ranked models

RankModelProviderInput $/1MOutput $/1MContext
1GPT-5OpenAI$1.25$10.00200,000
2Gemini 2 ProGoogle$3.50$10.502,000,000
3Claude Opus 4.7Anthropic$5.00$25.00200,000
4Gemini 2.0 Flash-LiteGoogle$0.07$0.301,000,000
5Mistral 7BMistral$0.20$0.2032,768
6llama-3.2-1b-instructMeta$0.20$0.2060,000
7qwen2-1.5b-instructAlibaba (Qwen)$0.20$0.20
8deepseek-chatDeepSeek$0.14$0.28164,000
9GPT-5 nanoOpenAI$0.05$0.40400,000
10Gemini 2.0 FlashGoogle$0.10$0.401,000,000

Tips for government / fedramp

  • Confirm the exact authorization level (Moderate vs High) matches your program's needs.
  • Government tenants often trail the public product by 3–6 months.
  • Build abstraction layers so you can swap models without code changes as authorizations update.

Frequently asked questions

Which LLMs are FedRAMP authorized?

As of April 2026 our weighted top 3 authorized options are GPT-5, Gemini 2 Pro, Claude Opus 4.7.

Can I use public OpenAI for FedRAMP workloads?

No. Use Azure OpenAI Gov or a FedRAMP-authorized alternative.

Do IL4 and IL5 matter for my use case?

Only if you handle controlled unclassified or classified data. For FOUO / CUI, Moderate is usually sufficient.

Related tasks

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Data refreshed daily via our snapshot cron. See our public JSON API for programmatic access.