GPT-4o mini vs Mistral Small 3.1 24B vs Mixtral 8x22B

It is close. Our weighted score puts them within 1 points (GPT-4o mini 56/100, Mistral Small 3.1 24B 55/100, Mixtral 8x22B 33/100), so choose by what matters most for your work: Mistral Small 3.1 24B for raw capability and GPT-4o mini on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

GPT-4o mini is cheaper at $0.15 input / $0.60 output per million tokens (official OpenAI API price). Mistral Small 3.1 24B costs $0.229 input / $0.436 output per million tokens (median across 2 API providers); Mixtral 8x22B 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 $0.263 per million tokens for GPT-4o mini versus $0.281 for Mistral Small 3.1 24B (1.1× as much) and $3.00 for Mixtral 8x22B (11× as much).

Mistral Small 3.1 24B scores higher on the Capabilities Index (ECI): Mistral Small 3.1 24B 127.5 (#132 of 148), GPT-4o mini 126.6 (#135 of 148) and Mixtral 8x22B 122.0 (#139 of 148). The confidence ranges of the top two overlap (122.6–129.4 vs 120.5–128.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Small 3.1 24B 47.5%, GPT-4o mini 37.7%, Mixtral 8x22B 34.1%.

There are no published SWE-bench Verified results for GPT-4o mini, Mistral Small 3.1 24B and Mixtral 8x22B yet, so there is no like-for-like coding score. On overall capability, Mistral Small 3.1 24B leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

GPT-4o mini and Mistral Small 3.1 24B have the largest context windows (128,000 and 128,000 tokens), against 64,000 for Mixtral 8x22B. Maximum output per response: GPT-4o mini up to 16,384, Mistral Small 3.1 24B up to 16,384, Mixtral 8x22B up to 64,000 tokens.

GPT-4o mini accepts text, images and PDFs; Mistral Small 3.1 24B accepts text and images; Mixtral 8x22B accepts text. GPT-4o mini handles the widest range of inputs.

Mistral Small 3.1 24B and Mixtral 8x22B publishes its weights and can be self-hosted; GPT-4o mini is proprietary.

Mistral Small 3.1 24B is the newest, released Mar 17, 2025. GPT-4o mini came out Jul 18, 2024; Mixtral 8x22B came out Apr 17, 2024. Knowledge cutoff: GPT-4o mini Sep 2023, Mistral Small 3.1 24B Jun 2024, Mixtral 8x22B Apr 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.