Model comparison
Mistral Small vs Qwen3.5-9B
Mistral Small and Qwen3.5-9B score almost the same on the Noometry Index (33.1 vs 33.3), so choose on price, context window or the category you care about most.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. Mistral Small scores higher in 1 category and Qwen3.5-9B in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Qwen3.5-9B leads 33.5 to 15.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 5.8% for Mistral Small and 61.7% for Qwen3.5-9B.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
- Qwen3.5-9B accepts more context: 262K tokens versus 256K.
Side by side
| Mistral Small | Qwen3.5-9B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 33.1 | 33.3 |
| Released | 2024-02-26 | 2026-02-23 |
| Weights | Open | Open |
| Context window | 256K | 262K |
| Max output | 256K | 66K |
| Input $ / M tokens | $0.15 | $0.10 |
| Output $ / M tokens | $0.60 | $0.15 |
| Results tracked | 39 | 10 |
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Category by category
Coding Qwen3.5-9B leads
Mistral Small: 33.5 (#242), Qwen3.5-9B: 35.3 (#213)
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| SciCode | 26.5% | 27.5% |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| LMArena Coding | 1363 | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |
Agentic & Tool Use Mistral Small leads
Mistral Small: 27.9 (#87), Qwen3.5-9B: 14.4 (#143)
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| Berkeley Function Calling Leaderboard | 37.1% | — |
Reasoning Qwen3.5-9B leads
Mistral Small: 19.3 (#238), Qwen3.5-9B: 22.5 (#178)
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| CritPt | 0% | 0.3% |
| DTBench | 70.9% | 71.2% |
| LMCA | 20.6% | 24.5% |
| Kagi LLM Benchmark | 37.8% | — |
| Chess Puzzles | — | 12% |
| LiveBench Reasoning | 44.8% | — |
| LMArena Hard Prompts | 1336 | — |
| LiveBench Data Analysis | 53.7% | — |
| Epoch Capabilities Index | — | 139.45 |
| LiveBench | 44% | — |
Math Qwen3.5-9B leads
Mistral Small: 15.4 (#287), Qwen3.5-9B: 33.5 (#174)
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 5.8% | 61.7% |
| MathArena Final-Answer Competitions | — | 48.5% |
| LiveBench Math | 39.9% | — |
| LMArena Math | 1341 | — |
| MATH Level 5 | 46.8% | — |
Knowledge Qwen3.5-9B leads
Mistral Small: 30.9 (#214), Qwen3.5-9B: 46.0 (#77)
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 47.5% | 79% |
| Vectara Hallucination Rate | 5.1% | — |
| LMArena Expert | 1293 | — |
| MMLU | 68.7% | — |
Multimodal Not comparable
Mistral Small: 32.9 (#91), Qwen3.5-9B: —
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| LMArena Vision | 1142 | — |
Multilingual Not comparable
Mistral Small: 45.7 (#164), Qwen3.5-9B: —
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1315 | — |
| LMArena Chinese | 1342 | — |
| LMArena French | 1337 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1275 | — |
| LMArena Korean | 1260 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1346 | — |
Instruction Following Not comparable
Mistral Small: 66.6 (#204), Qwen3.5-9B: —
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| LiveBench Instruction Following | 63.7% | — |
| LMArena Instruction Following | 1310 | — |
Long Context Not comparable
Mistral Small: 40.4 (#151), Qwen3.5-9B: —
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1327 | — |
Writing & Preference Not comparable
Mistral Small: 52.6 (#165), Qwen3.5-9B: —
| Benchmark | Mistral Small | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1338 | — |
| LMArena Creative Writing | 1304 | — |
| LMArena Multi-Turn | 1344 | — |
| LiveBench Language | 30.5% | — |
Frequently asked questions
Is Mistral Small better than Qwen3.5-9B?
Mistral Small and Qwen3.5-9B score almost the same on the Noometry Index (33.1 vs 33.3), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Small or Qwen3.5-9B?
Qwen3.5-9B is cheaper. It lists at $0.10 per million input tokens and $0.15 per million output tokens; Mistral Small lists at $0.15 and $0.60.
Is Mistral Small or Qwen3.5-9B better for coding?
Qwen3.5-9B scores higher on coding benchmarks: 35.3 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 256K.
How many benchmarks do Mistral Small and Qwen3.5-9B share?
6 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Qwen3.5-9B has 10.