Model comparison
Mistral Small vs Qwen Turbo
Mistral Small is the stronger model overall, scoring 33.4 to 27.1 on the Noometry Index. Qwen Turbo costs 3.0× less per token, which makes it the better buy when Mistral Small's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Mistral Small scores higher in 2 categories and Qwen Turbo in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small leads 31.0 to 22.2.
- The biggest single-benchmark swing is MATH Level 5: 46.8% for Mistral Small and 56.2% for Qwen Turbo.
- Qwen Turbo is cheaper at $0.05 / $0.20 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- Qwen Turbo accepts more context: 1M tokens versus 262K.
- Mistral Small has downloadable open weights; the other is API-only.
Side by side
| Mistral Small | Qwen Turbo | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.4 | 27.1 |
| Released | 2024-02-26 | 2024-11-01 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 256K | 16K |
| Input $ / M tokens | $0.15 | $0.05 |
| Output $ / M tokens | $0.60 | $0.20 |
| Results tracked | 39 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Mistral Small: 34.0 (#247), Qwen Turbo: —
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| LMArena Coding | 1362 | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |
Agentic & Tool Use Not comparable
Mistral Small: 28.1 (#93), Qwen Turbo: —
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |
Reasoning Not comparable
Mistral Small: 19.8 (#250), Qwen Turbo: —
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 44.8% | — |
| LMArena Hard Prompts | 1335 | — |
| DTBench | 70.9% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| LiveBench | 44% | — |
Math Mistral Small leads
Mistral Small: 16.4 (#293), Qwen Turbo: 15.3 (#297)
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | 6.1% |
| MATH Level 5 | 46.8% | 56.2% |
| LiveBench Math | 39.9% | — |
| LMArena Math | 1341 | — |
Knowledge Mistral Small leads
Mistral Small: 31.0 (#222), Qwen Turbo: 22.2 (#272)
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| GPQA Diamond | 47.5% | 41.8% |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1291 | — |
| MMLU | 68.7% | — |
Multimodal Not comparable
Mistral Small: 33.5 (#96), Qwen Turbo: —
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LMArena Vision | 1142 | — |
Multilingual Not comparable
Mistral Small: 45.5 (#169), Qwen Turbo: —
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LMArena Non-English | 1315 | — |
| LMArena Chinese | 1340 | — |
| LMArena French | 1337 | — |
| LMArena German | 1340 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1259 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1346 | — |
Instruction Following Not comparable
Mistral Small: 66.4 (#209), Qwen Turbo: —
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LiveBench Instruction Following | 63.7% | — |
| LMArena Instruction Following | 1310 | — |
Long Context Not comparable
Mistral Small: 40.4 (#156), Qwen Turbo: —
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LMArena Longer Query | 1327 | — |
Writing & Preference Not comparable
Mistral Small: 52.5 (#171), Qwen Turbo: —
| Benchmark | Mistral Small | Qwen Turbo |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1305 | — |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 30.5% | — |
Frequently asked questions
Is Mistral Small better than Qwen Turbo?
Mistral Small is the stronger model overall, scoring 33.4 to 27.1 on the Noometry Index. Qwen Turbo costs 3.0× less per token, which makes it the better buy when Mistral Small's lead doesn't matter for your workload.
Which is cheaper, Mistral Small or Qwen Turbo?
Qwen Turbo is cheaper. It lists at $0.05 per million input tokens and $0.20 per million output tokens; Mistral Small lists at $0.15 and $0.60.
Which has the bigger context window?
Qwen Turbo does, with 1M tokens against 262K.
How many benchmarks do Mistral Small and Qwen Turbo share?
3 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen Turbo has 3.