Mistral Medium 3 vs QwQ 32B
Too close to call on our weighted score (QwQ 32B 53, Mistral Medium 3 53). The right pick depends on what you value most.
Mistral AI
Mistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
Alibaba (Qwen)
QwQ 32B
53/100- ECI137.6
- Price$0.66 / $1.00
- Context131K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (QwQ 32B 53/100, Mistral Medium 3 53/100), so choose by what matters most for your work: QwQ 32B for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwQ 32BCapabilities Index (ECI): QwQ 32B 137.6 · Mistral Medium 3 134.1
- Lowest priceQwQ 32BQwQ 32B $0.745 · Mistral Medium 3 $0.80 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMistral Medium 3 131,072 · QwQ 32B 131,072 tokens
- Widest inputsMistral Medium 3Mistral Medium 3: Text, Images · QwQ 32B: Text
- Self-hostingQwQ 32BPublishes downloadable weights
| Measure | Weight | Mistral Medium 3 | QwQ 32B |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 58 | 62 |
| Price | 25% | 54 | 56 |
| Inputs & features | 15% | 50 | 35 |
| Context window | 10% | 24 | 24 |
| Overall | 100% | 53/100 | 53/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 134.1 | 137.6 (best) |
| ECI rank | #117 of 148 | #109 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 59.5% | 65.3% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 32.2% | 59.2% (best) |
| Price per million tokens | ||
| Input | $0.40 (best) | $0.66 |
| Output | $2.00 | $1.00 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.80 | $0.745 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 1 providers |
| Limits | ||
| Context window | 131,072 tokens | 131,072 tokens |
| Max output | 131,072 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | mistral-medium-2505 | — |
| API providers | 5 (best) | 1 |
| Released | May 7, 2025 | Mar 5, 2025 |
| Knowledge cutoff | May 2025 | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Mistral Medium 3$8.00
QwQ 32B$8.60
Which should you choose?
Which is better: Mistral Medium 3 or QwQ 32B?
It is close. Our weighted score puts them within a point (QwQ 32B 53/100, Mistral Medium 3 53/100), so choose by what matters most for your work: QwQ 32B for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Medium 3 or QwQ 32B?
QwQ 32B is cheaper at $0.66 input / $1.00 output per million tokens (median across 1 API provider). Mistral Medium 3 costs $0.40 input / $2.00 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.745 per million tokens for QwQ 32B versus $0.80 for Mistral Medium 3 (1.1× as much).
Which scores higher on benchmarks?
QwQ 32B scores higher on the Capabilities Index (ECI): QwQ 32B 137.6 (#109 of 148) and Mistral Medium 3 134.1 (#117 of 148). The confidence ranges of the top two overlap (133.1–141.7 vs 130.5–135.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — QwQ 32B 65.3%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — QwQ 32B 59.2%, Mistral Medium 3 32.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Medium 3 and QwQ 32B yet, so there is no like-for-like coding score. On overall capability, QwQ 32B leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Mistral Medium 3 and QwQ 32B share the same 131,072-token context window. Maximum output per response: Mistral Medium 3 up to 131,072, QwQ 32B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Mistral Medium 3 accepts text and images; QwQ 32B accepts text. Mistral Medium 3 handles the widest range of inputs.
Are any of these open source?
QwQ 32B publishes its weights and can be self-hosted; Mistral Medium 3 is proprietary.
Which is newer?
Mistral Medium 3 is the newest, released May 7, 2025. QwQ 32B came out Mar 5, 2025. Knowledge cutoff: Mistral Medium 3 May 2025, QwQ 32B Apr 2024.
How do you decide the winner?
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.