Mistral Medium 3 vs Qwen3 14B
Too close to call on our weighted score (Qwen3 14B 54, Mistral Medium 3 53). The right pick depends on what you value most.
Mistral AIMistral Medium 3
53/100- ECI134.1
- Price$0.40 / $2.00
- Context131K
Alibaba (Qwen)Qwen3 14B
54/100- ECI138.2
- Price$0.35 / $1.40
- Context131K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3 14B 54/100, Mistral Medium 3 53/100), so choose by what matters most for your work: Qwen3 14B for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityQwen3 14BCapabilities Index (ECI): Qwen3 14B 138.2 · Mistral Medium 3 134.1
- Lowest priceQwen3 14BQwen3 14B $0.613 · Mistral Medium 3 $0.80 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMistral Medium 3 131,072 · Qwen3 14B 131,072 tokens
- Widest inputsMistral Medium 3Mistral Medium 3: Text, Images · Qwen3 14B: Text
- Self-hostingQwen3 14BPublishes downloadable weights
| Measure | Weight | Mistral Medium 3 | Qwen3 14B |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 58 | 63 |
| Price | 25% | 54 | 60 |
| Inputs & features | 15% | 50 | 35 |
| Context window | 10% | 24 | 24 |
| Overall | 100% | 53/100 | 54/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral Medium 3Mistral AI | Qwen3 14BAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 134.1 | 138.2 (best) |
| ECI rank | #117 of 148 | #107 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 59.5% | 63.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 32.2% | 66.4% (best) |
| Price per million tokens | ||
| Input | $0.40 | $0.35 (best) |
| Output | $2.00 | $1.40 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.80 | $0.613 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Official Alibaba API |
| 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 | qwen3-14b |
| API providers | 5 (best) | 1 |
| Released | May 7, 2025 | Apr 29, 2025 |
| Knowledge cutoff | May 2025 | Apr 2025 |
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
- Qwen3 14B$6.30
Which should you choose?
Which is better: Mistral Medium 3 or Qwen3 14B?
It is close. Our weighted score puts them within 2 points (Qwen3 14B 54/100, Mistral Medium 3 53/100), so choose by what matters most for your work: Qwen3 14B for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Mistral Medium 3 or Qwen3 14B?
Qwen3 14B is cheaper at $0.35 input / $1.40 output per million tokens (official Alibaba API price). 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 $0.613 per million tokens for Qwen3 14B versus $0.80 for Mistral Medium 3 (1.3× as much).
Which scores higher on benchmarks?
Qwen3 14B scores higher on the Capabilities Index (ECI): Qwen3 14B 138.2 (#107 of 148) and Mistral Medium 3 134.1 (#117 of 148). The confidence ranges of the top two overlap (133.5–140.1 vs 130.5–135.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — Qwen3 14B 63.8%, Mistral Medium 3 59.5%; OTIS Mock AIME 2024–2025 — Qwen3 14B 66.4%, Mistral Medium 3 32.2%.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Medium 3 and Qwen3 14B yet, so there is no like-for-like coding score. On overall capability, Qwen3 14B 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 Qwen3 14B share the same 131,072-token context window. Maximum output per response: Mistral Medium 3 up to 131,072, Qwen3 14B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Mistral Medium 3 accepts text and images; Qwen3 14B accepts text. Mistral Medium 3 handles the widest range of inputs.
Are any of these open source?
Qwen3 14B 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. Qwen3 14B came out Apr 29, 2025. Knowledge cutoff: Mistral Medium 3 May 2025, Qwen3 14B Apr 2025.
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.
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