GPT-5.1 Codex mini vs Mistral Large 2.1 vs Mistral Large 3

GPT-5.1 Codex mini is the better all-round choice, scoring 59/100 against Mistral Large 3 (50) and Mistral Large 2.1 (26). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

GPT-5.1 Codex mini is cheaper at $0.25 input / $2.00 output per million tokens (median across 10 API providers). Mistral Large 3 costs $0.50 input / $1.50 output per million tokens (official Mistral API price); Mistral Large 2.1 costs $2.00 input / $6.00 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.688 per million tokens for GPT-5.1 Codex mini versus $0.75 for Mistral Large 3 (1.1× as much) and $3.00 for Mistral Large 2.1 (4.4× as much).

There is no independent benchmark that covers all three models yet. GPT-5.1 Codex mini has not been scored yet, Mistral Large 2.1 has an ECI of 128.5 and Mistral Large 3 has not been scored yet.

There are no published SWE-bench Verified results for GPT-5.1 Codex mini, Mistral Large 2.1 and Mistral Large 3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

GPT-5.1 Codex mini has the largest context window at 400,000 tokens, against 262,144 for Mistral Large 3 and 131,072 for Mistral Large 2.1. Maximum output per response: GPT-5.1 Codex mini up to 128,000, Mistral Large 2.1 up to 16,384, Mistral Large 3 up to 262,144 tokens.

GPT-5.1 Codex mini accepts text and images; Mistral Large 2.1 accepts text; Mistral Large 3 accepts text and images. GPT-5.1 Codex mini handles the widest range of inputs.

Mistral Large 2.1 and Mistral Large 3 publishes its weights and can be self-hosted; GPT-5.1 Codex mini is proprietary.

Mistral Large 3 is the newest, released Dec 2, 2025. GPT-5.1 Codex mini came out Nov 13, 2025; Mistral Large 2.1 came out Nov 18, 2024. Knowledge cutoff: GPT-5.1 Codex mini Sep 30, 2024, Mistral Large 2.1 Nov 2024, Mistral Large 3 Nov 2024.

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.