Model comparison
Mistral vs Qwen3.8 27B
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 17 benchmarks with published results for both. Mistral scores higher in 0 categories and Qwen3.8 27B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.8 27B leads 65.8 to 37.0.
- Qwen3.8 27B has downloadable open weights; the other is API-only.
Side by side
| Mistral | Qwen3.8 27B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 29.9 | 46.0 |
| Released | — | 2026-08-14 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 33K |
| Input $ / M tokens | — | $0.99 |
| Output $ / M tokens | — | $1.49 |
| Results tracked | 22 | 31 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3.8 27B leads
Mistral: 33.8 (#250), Qwen3.8 27B: 50.5 (#44)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| LMArena Coding | 1162 | 1482 |
| LMArena WebDev | — | 1593 |
| SciCode | — | 46.6% |
Agentic & Tool Use Not comparable
Mistral: —, Qwen3.8 27B: 32.9 (#57)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| APEX-Agents | — | 47.5% |
Reasoning Qwen3.8 27B leads
Mistral: 22.2 (#200), Qwen3.8 27B: 41.0 (#54)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| LMArena Hard Prompts | 1149 | 1460 |
| ARC-AGI-2 | — | 42.4% |
| NYT Connections (extended) | — | 54.5% |
| ARC-AGI-1 | — | 87.5% |
| CritPt | — | 5.4% |
| DTBench | — | 88% |
| LMCA | — | 41.4% |
| Surface Evolver Bench | — | 45% |
| Epoch Capabilities Index | — | 149.38 |
Math Qwen3.8 27B leads
Mistral: 22.3 (#278), Qwen3.8 27B: 37.1 (#161)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| LMArena Math | 1180 | 1456 |
| ProofBench | — | 16% |
| Omni-MATH | 7.2% | — |
Knowledge Qwen3.8 27B leads
Mistral: 16.6 (#288), Qwen3.8 27B: 41.6 (#109)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| LMArena Expert | 1125 | 1482 |
| MMLU-Pro | 27.7% | — |
| GPQA (HELM) | 30.3% | — |
Multimodal Not comparable
Mistral: —, Qwen3.8 27B: 41.3 (#37)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| LMArena Vision | — | 1271 |
Multilingual Qwen3.8 27B leads
Mistral: 32.8 (#254), Qwen3.8 27B: 53.7 (#60)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| LMArena Non-English | 1129 | 1430 |
| LMArena Chinese | 1109 | 1504 |
| LMArena French | 1180 | 1465 |
| LMArena German | 1155 | 1438 |
| LMArena Japanese | 1013 | 1384 |
| LMArena Korean | 1032 | 1393 |
| LMArena Russian | 1168 | 1415 |
| LMArena Spanish | 1143 | 1448 |
Instruction Following Qwen3.8 27B leads
Mistral: 52.6 (#288), Qwen3.8 27B: 75.8 (#53)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| LMArena Instruction Following | 1152 | 1439 |
| IFEval | 56.8% | — |
Long Context Qwen3.8 27B leads
Mistral: 35.0 (#245), Qwen3.8 27B: 44.3 (#70)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| LMArena Longer Query | 1153 | 1450 |
Writing & Preference Qwen3.8 27B leads
Mistral: 37.0 (#260), Qwen3.8 27B: 65.8 (#43)
| Benchmark | Mistral | Qwen3.8 27B |
|---|---|---|
| LMArena Text | 1165 | 1441 |
| LMArena Creative Writing | 1158 | 1384 |
| LMArena Multi-Turn | 1147 | 1441 |
| EQ-Bench Creative Writing | — | 1671 |
| WildBench | 66% | — |
Frequently asked questions
Is Mistral better than Qwen3.8 27B?
Qwen3.8 27B is the stronger model overall, scoring 46.0 to 29.9 on the Noometry Index.
Is Mistral or Qwen3.8 27B better for coding?
Qwen3.8 27B scores higher on coding benchmarks: 50.5 versus 33.8 in the Noometry coding category.
How many benchmarks do Mistral and Qwen3.8 27B share?
17 benchmarks have published results for both models. Mistral has 22 scored results on Noometry and Qwen3.8 27B has 31.