Which is cheaper, Devstral Small 1.1 or GPT-5.1 Codex Mini?
As of August 23, 2026, Devstral Small 1.1 is 82% cheaper on blended LLM API pricing. Devstral Small 1.1 costs $0.10 per million input tokens and $0.30 per million output tokens ($0.40 blended 1M-in + 1M-out). GPT-5.1 Codex Mini costs $0.25 / $2.00 per million tokens ($2.25 blended). Sources: https://docs.mistral.ai/platform/pricing/ and https://developers.openai.com/api/docs/pricing. The cheapest LLM for your app still depends on how many output tokens you generate.
How much does Devstral Small 1.1 vs GPT-5.1 Codex Mini cost per million tokens?
Devstral Small 1.1 Mistral API pricing is $0.10 input and $0.30 output per million tokens via Mistral AI. GPT-5.1 Codex Mini OpenAI API pricing is $0.25 input and $2.00 output per million tokens via OpenAI. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Which is better for coding, Devstral Small 1.1 or GPT-5.1 Codex Mini?
Devstral Small 1.1 has a published SWE-bench Verified score of 53.6%. GPT-5.1 Codex Mini does not have that eval on this page yet.
What is the context window for Devstral Small 1.1 vs GPT-5.1 Codex Mini?
Devstral Small 1.1 supports a 128K token context window, while GPT-5.1 Codex Mini supports 400K tokens. GPT-5.1 Codex Mini 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, Devstral Small 1.1 or GPT-5.1 Codex Mini?
Shared benchmark scores for Devstral Small 1.1 and GPT-5.1 Codex Mini 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 Devstral Small 1.1 or GPT-5.1 Codex Mini better for production use?
Both Devstral Small 1.1 and GPT-5.1 Codex Mini are production API models. For cost-sensitive production traffic, Devstral Small 1.1 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 Devstral Small 1.1 and GPT-5.1 Codex Mini in my app?
Yes. Call Devstral Small 1.1 through Mistral AI and GPT-5.1 Codex Mini through OpenAI 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 Devstral Small 1.1 vs GPT-5.1 Codex Mini pricing data?
List rates are the latest published Mistral API pricing and OpenAI API pricing, quoted per million tokens. Official rate sheets: https://docs.mistral.ai/platform/pricing/ and https://developers.openai.com/api/docs/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 Devstral Small 1.1 and GPT-5.1 Codex Mini?
Devstral Small 1.1 supports up to 128K output tokens per request, while GPT-5.1 Codex Mini supports up to 128K 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, Devstral Small 1.1 or GPT-5.1 Codex Mini?
Devstral Small 1.1 runs at approximately 137.1 tokens/second while GPT-5.1 Codex Mini runs at 200 tokens/second. GPT-5.1 Codex Mini is faster in raw throughput. 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 Devstral Small 1.1 vs GPT-5.1 Codex Mini comparison?
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Devstral Small 1.1 or GPT-5.1 Codex Mini from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
