Which is cheaper, GPT-5.1 Thinking or Mistral Large 3?
As of August 25, 2026, Mistral Large 3 is 38% cheaper on blended LLM API pricing. Mistral Large 3 costs $2.00 per million input tokens and $5.00 per million output tokens ($7.00 blended 1M-in + 1M-out). GPT-5.1 Thinking costs $1.25 / $10.00 per million tokens ($11.25 blended). Sources: https://developers.openai.com/api/docs/pricing and https://docs.mistral.ai/platform/pricing/. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does GPT-5.1 Thinking vs Mistral Large 3 cost per million tokens?
GPT-5.1 Thinking OpenAI API pricing is $1.25 input and $10.00 output per million tokens via OpenAI. Mistral Large 3 Mistral API pricing is $2.00 input and $5.00 output per million tokens via Mistral AI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, GPT-5.1 Thinking or Mistral Large 3?
GPT-5.1 Thinking has a published SWE-bench Verified score of 76.3%. Mistral Large 3 does not have that eval on this page yet.
What is the context window for GPT-5.1 Thinking vs Mistral Large 3?
GPT-5.1 Thinking supports a 400K token context window, while Mistral Large 3 supports 128K tokens. GPT-5.1 Thinking offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Which model performs better on benchmarks, GPT-5.1 Thinking or Mistral Large 3?
Shared benchmark scores for GPT-5.1 Thinking and Mistral Large 3 are still limited. Check the comparison table for the evals each model has published. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Is GPT-5.1 Thinking or Mistral Large 3 better for production use?
Both GPT-5.1 Thinking and Mistral Large 3 are production API models. For cost-sensitive production traffic, Mistral Large 3 has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Can I switch between GPT-5.1 Thinking and Mistral Large 3 in my app?
Yes. Call GPT-5.1 Thinking through OpenAI and Mistral Large 3 through Mistral AI with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
How accurate is this GPT-5.1 Thinking vs Mistral Large 3 pricing data?
List rates are the latest published OpenAI API pricing and Mistral API pricing, quoted per million tokens. Official rate sheets: https://developers.openai.com/api/docs/pricing and https://docs.mistral.ai/platform/pricing/. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
What is the output token limit for GPT-5.1 Thinking and Mistral Large 3?
GPT-5.1 Thinking supports up to 128K output tokens per request, while Mistral Large 3 supports up to 8K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Which model has better throughput, GPT-5.1 Thinking or Mistral Large 3?
GPT-5.1 Thinking has a measured throughput of approximately 80 tokens/second. Throughput data for Mistral Large 3 is not yet available. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
How do I switch the models in this GPT-5.1 Thinking vs Mistral Large 3 comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open GPT-5.1 Thinking or Mistral Large 3 from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
