Mistral Large 4 vs Mistral Large 3 vs Inkling Small

It is close. Our weighted score puts them within 3 points (Inkling Small 59/100, Mistral Large 4 56/100, Mistral Large 3 52/100), so choose by what matters most for your work: Mistral Large 3 on price. 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 3 is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). Inkling Small costs $0.58 input / $1.44 output per million tokens (official Thinking Machines API price); Mistral Large 4 costs $0.70 input / $2.10 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.75 per million tokens for Mistral Large 3 versus $0.795 for Inkling Small (1.1× as much) and $1.05 for Mistral Large 4 (1.4× as much).

There is no independent benchmark that covers all three models yet. Mistral Large 4 has an ECI of 150.6, Mistral Large 3 has not been scored yet and Inkling Small has an ECI of 150.5.

There are no published SWE-bench Verified results for Mistral Large 4, Mistral Large 3 and Inkling Small 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.

Mistral Large 4 and Inkling Small have the largest context windows (1,048,576 and 1,048,576 tokens), against 262,144 for Mistral Large 3. Maximum output per response: Mistral Large 4 up to 262,144, Mistral Large 3 up to 262,144, Inkling Small up to 1,048,576 tokens.

Mistral Large 4 accepts text and images; Mistral Large 3 accepts text and images; Inkling Small accepts text, images and audio. Inkling Small handles the widest range of inputs.

Mistral Large 3 and Inkling Small publishes its weights (Apache-2.0) and can be self-hosted; Mistral Large 4 is proprietary.

Mistral Large 4 is the newest, released Oct 6, 2026. Inkling Small came out Jul 30, 2026; Mistral Large 3 came out Dec 2, 2025. Knowledge cutoff: 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 Nov 2, 2026.