Compare 2026 LLM Models

Per-token pricing, context windows, and trade-offs across the leading commercial and open-weights large language models. Updated for the 2026 frontier.

All models

ModelVendor$/1M in$/1M outContextTier
Gemini 2.5 FlashGoogle$0.07$0.301,000Kcheap
GPT-4o miniOpenAI$0.15$0.60128Kcheap
GPT-5 miniOpenAI$0.25$2.00400Kbalanced
Llama 3.3 70BMeta (via Bedrock / Together / Groq)$0.72$0.72128Kcheap
Amazon Nova ProAWS Bedrock$0.80$3.20300Kbalanced
Claude Haiku 4.5Anthropic$1.00$5.00200Kbalanced
GPT-5OpenAI$1.25$10.00400Kpremium
Gemini 2.5 ProGoogle$1.25$10.002,000Kpremium
Claude Sonnet 4.5Anthropic$3.00$15.00200Kpremium
Claude Opus 4.7Anthropic$15.00$75.00200Kpremium

Pairwise comparisons

Claude Sonnet 4.5 vs GPT-5 Claude Sonnet 4.5 vs Gemini 2.5 Pro GPT-5 vs Gemini 2.5 Pro Claude Haiku 4.5 vs GPT-5 mini Claude Haiku 4.5 vs Gemini 2.5 Flash GPT-5 mini vs Gemini 2.5 Flash GPT-4o mini vs Claude Haiku 4.5 GPT-4o mini vs Gemini 2.5 Flash Llama 3.3 70B vs Gemini 2.5 Flash Claude Opus 4.7 vs GPT-5 Amazon Nova Pro vs Claude Sonnet 4.5 Amazon Nova Pro vs GPT-5 mini Claude Opus 4.7 vs Gemini 2.5 Pro Llama 3.3 70B vs GPT-4o mini Claude Haiku 4.5 vs GPT-4o mini

Pick by use case

Cheapest 1M-context model: Gemini 2.5 Flash -- $0.075 in / $0.30 out.
Best long-context recall: Claude Sonnet 4.5 (200K) or Gemini 2.5 Pro (2M).
Best price for high-output workloads: Llama 3.3 70B at $0.72/$0.72 symmetric.
Frontier reasoning: Claude Opus 4.7 or GPT-5.

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