Mistral Large 3 vs Qwen3 Coder Next
Too close to call on our weighted score (Qwen3 Coder Next 51, Mistral Large 3 50). The right pick depends on what you value most.
Mistral AIMistral Large 3
50/100- ECI—
- Price$0.50 / $1.50
- Context262K
Alibaba (Qwen)Qwen3 Coder Next
51/100- ECI—
- Price$0.20 / $1.20
- Context262K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Qwen3 Coder Next 51/100, Mistral Large 3 50/100), so choose by what matters most for your work: Qwen3 Coder Next 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.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceQwen3 Coder NextQwen3 Coder Next $0.45 · Mistral Large 3 $0.75 per 1M tokens (3:1 blend)
- Longest contextAbout the sameMistral Large 3 262,144 · Qwen3 Coder Next 262,144 tokens
- Widest inputsMistral Large 3Mistral Large 3: Text, Images · Qwen3 Coder Next: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Mistral Large 3 | Qwen3 Coder Next |
|---|---|---|---|
| Price | 50% | 56 | 66 |
| Inputs & features | 30% | 50 | 35 |
| Context window | 20% | 37 | 37 |
| Overall | 100% | 50/100 | 51/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Mistral Large 3Mistral AI | Qwen3 Coder NextAlibaba (Qwen) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.50 | $0.20 (best) |
| Output | $1.50 | $1.20 (best) |
| Cached input | $0.05 | — |
| Blended (3:1) | $0.75 | $0.45 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Mistral API | Median of 11 providers |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | mistral-large-2512 | — |
| API providers | 13 (best) | 11 |
| Released | Dec 2, 2025 | Feb 3, 2026 |
| Knowledge cutoff | Nov 2024 | Sep 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 Large 3$8.00
- Qwen3 Coder Next$4.40
Which should you choose?
Which is better: Mistral Large 3 or Qwen3 Coder Next?
It is close. Our weighted score puts them within a point (Qwen3 Coder Next 51/100, Mistral Large 3 50/100), so choose by what matters most for your work: Qwen3 Coder Next 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.
Which is cheaper, Mistral Large 3 or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper at $0.20 input / $1.20 output per million tokens (median across 11 API providers). Mistral Large 3 costs $0.50 input / $1.50 output per million tokens (official Mistral API price). At a typical mix of three input tokens to one output token, that is $0.45 per million tokens for Qwen3 Coder Next versus $0.75 for Mistral Large 3 (1.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Mistral Large 3 has not been scored yet and Qwen3 Coder Next has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Mistral Large 3 and Qwen3 Coder Next yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Mistral Large 3 and Qwen3 Coder Next share the same 262,144-token context window. Maximum output per response: Mistral Large 3 up to 262,144, Qwen3 Coder Next up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Mistral Large 3 accepts text and images; Qwen3 Coder Next accepts text. Mistral Large 3 handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Qwen3 Coder Next is the newest, released Feb 3, 2026. Mistral Large 3 came out Dec 2, 2025. Knowledge cutoff: Mistral Large 3 Nov 2024, Qwen3 Coder Next Sep 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.
