Model comparison
Mistral Large vs Qwen3 Coder Next
Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 31.9 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 2 benchmarks with published results for both. Mistral Large scores higher in 0 categories and Qwen3 Coder Next in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3 Coder Next leads 22.4 to 15.8.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $2 / $6 for Mistral Large.
- Qwen3 Coder Next accepts more context: 262K tokens versus 131K.
Side by side
| Mistral Large | Qwen3 Coder Next | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 31.9 | 34.3 |
| Released | 2024-02-26 | 2026-02-02 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $2 | $0.12 |
| Output $ / M tokens | $6 | $0.80 |
| Results tracked | 51 | 3 |
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Category by category
Coding Qwen3 Coder Next leads
Mistral Large: 34.3 (#240), Qwen3 Coder Next: 36.3 (#210)
| Benchmark | Mistral Large | Qwen3 Coder Next |
|---|---|---|
| SciCode | 36.2% | 32.3% |
| WeirdML | — | 34.4% |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| LMArena Coding | 1277 | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.6 (#89), Qwen3 Coder Next: —
| Benchmark | Mistral Large | Qwen3 Coder Next |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Qwen3 Coder Next leads
Mistral Large: 15.8 (#310), Qwen3 Coder Next: 22.4 (#196)
| Benchmark | Mistral Large | Qwen3 Coder Next |
|---|---|---|
| CritPt | 0% | 0% |
| SimpleBench | 22.5% | — |
| LiveBench Reasoning | 43.5% | — |
| LMArena Hard Prompts | 1257 | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
Math Not comparable
Mistral Large: 18.2 (#291), Qwen3 Coder Next: —
| Benchmark | Mistral Large | Qwen3 Coder Next |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| LMArena Math | 1262 | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Not comparable
Mistral Large: 30.1 (#230), Qwen3 Coder Next: —
| Benchmark | Mistral Large | Qwen3 Coder Next |
|---|---|---|
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| LMArena Expert | 1232 | — |
| MMLU | 80% | — |
Multilingual Not comparable
Mistral Large: 40.0 (#219), Qwen3 Coder Next: —
| Benchmark | Mistral Large | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1237 | — |
| LMArena Chinese | 1240 | — |
| LMArena French | 1325 | — |
| LMArena German | 1254 | — |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
| LMArena Russian | 1257 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Not comparable
Mistral Large: 67.9 (#191), Qwen3 Coder Next: —
| Benchmark | Mistral Large | Qwen3 Coder Next |
|---|---|---|
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
Mistral Large: 38.3 (#199), Qwen3 Coder Next: —
| Benchmark | Mistral Large | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1261 | — |
Writing & Preference Not comparable
Mistral Large: 40.7 (#242), Qwen3 Coder Next: —
| Benchmark | Mistral Large | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1266 | — |
| LMArena Creative Writing | 1243 | — |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LMArena Multi-Turn | 1260 | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Qwen3 Coder Next?
Qwen3 Coder Next is the stronger model overall, scoring 34.3 to 31.9 on the Noometry Index.
Which is cheaper, Mistral Large or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; Mistral Large lists at $2 and $6.
Is Mistral Large or Qwen3 Coder Next better for coding?
Qwen3 Coder Next scores higher on coding benchmarks: 36.3 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Coder Next does, with 262K tokens against 131K.
How many benchmarks do Mistral Large and Qwen3 Coder Next share?
2 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Qwen3 Coder Next has 3.