Mistral Large vs Aya Expanse 32B

Mistral Large is the better all-round choice, scoring 45/100 against Aya Expanse 32B (32). It leads on inputs & features. 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.

Mistral Large and Aya Expanse 32B cost the same: $0.50 input / $1.50 output per million tokens.

There is no independent benchmark that covers both models yet. Mistral Large has an ECI of 122.0 and Aya Expanse 32B has not been scored yet.

There are no published SWE-bench Verified results for Mistral Large and Aya Expanse 32B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Expanse 32B does not support tool calling, which most coding agents need.

Mistral Large and Aya Expanse 32B share the same 128,000-token context window. Maximum output per response: Mistral Large up to 102,400, Aya Expanse 32B up to 4,000 tokens.

Mistral Large accepts text and PDFs; Aya Expanse 32B accepts text. Mistral Large handles the widest range of inputs.

Aya Expanse 32B publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Mistral Large is proprietary.

Aya Expanse 32B is the newest, released Oct 24, 2024. Mistral Large came out Feb 26, 2024. Knowledge cutoff: Mistral Large Nov 30, 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 Nov 2, 2026.