Mistral Medium 3 vs QwQ Plus

It is close. Our weighted score puts them within 1 points (Mistral Medium 3 53/100, QwQ Plus 52/100), so choose by what matters most for your work: QwQ Plus for raw capability and Mistral Medium 3 on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond), because QwQ Plus has no Capabilities Index score yet.

Mistral Medium 3 is cheaper at $0.40 input / $2.00 output per million tokens (official Mistral API price). QwQ Plus costs $0.80 input / $2.40 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.80 per million tokens for Mistral Medium 3 versus $1.20 for QwQ Plus (1.5× as much).

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond): QwQ Plus 65.4% and Mistral Medium 3 59.5%. On individual benchmarks: GPQA Diamond — QwQ Plus 65.4%, Mistral Medium 3 59.5%.

There are no published SWE-bench Verified results for Mistral Medium 3 and QwQ Plus yet, so there is no like-for-like coding score. On overall capability, QwQ Plus leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Mistral Medium 3 and QwQ Plus share the same 131,072-token context window. Maximum output per response: Mistral Medium 3 up to 131,072, QwQ Plus up to 8,192 tokens.

Mistral Medium 3 accepts text and images; QwQ Plus accepts text. Mistral Medium 3 handles the widest range of inputs.

No. Mistral Medium 3 and QwQ Plus are proprietary and only available through APIs and apps.

Mistral Medium 3 is the newest, released May 7, 2025. QwQ Plus came out Mar 5, 2025. Knowledge cutoff: Mistral Medium 3 May 2025, QwQ Plus 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.