Model comparison
Mistral Medium 3.5 vs Qwen3.5-9B
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 33.8 on the Noometry Index. Qwen3.5-9B costs 27× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Mistral Medium 3.5 scores higher in 2 categories and Qwen3.5-9B in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 40.0.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $1.50 / $7.50 for Mistral Medium 3.5.
Side by side
| Mistral Medium 3.5 | Qwen3.5-9B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 40.2 | 33.8 |
| Released | — | 2026-02-23 |
| Weights | Open | Open |
| Context window | 262K | 262K |
| Max output | 210K | 66K |
| Input $ / M tokens | $1.50 | $0.10 |
| Output $ / M tokens | $7.50 | $0.15 |
| Results tracked | 22 | 10 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Too close to call
Mistral Medium 3.5: 36.0 (#213), Qwen3.5-9B: 35.9 (#217)
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| LMArena WebDev | 1264 | — |
| SciCode | — | 27.5% |
| LMArena Coding | 1461 | — |
Agentic & Tool Use Not comparable
Mistral Medium 3.5: —, Qwen3.5-9B: 14.5 (#151)
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
Reasoning Qwen3.5-9B leads
Mistral Medium 3.5: 17.3 (#295), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| Epoch Capabilities Index | 141.35 | 139.46 |
| Kagi LLM Benchmark | 41.4% | — |
| NYT Connections (extended) | 12.9% | — |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMArena Hard Prompts | 1436 | — |
| DTBench | — | 71.2% |
| LMCA | — | 24.5% |
Math Mistral Medium 3.5 leads
Mistral Medium 3.5: 39.1 (#113), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| LMArena Math | 1431 | — |
Knowledge Qwen3.5-9B leads
Mistral Medium 3.5: 40.0 (#126), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | — | 79% |
| LMArena Expert | 1432 | — |
Multimodal Not comparable
Mistral Medium 3.5: 38.3 (#65), Qwen3.5-9B: —
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Vision | 1223 | — |
Multilingual Not comparable
Mistral Medium 3.5: 51.9 (#100), Qwen3.5-9B: —
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Non-English | 1404 | — |
| LMArena Chinese | 1442 | — |
| LMArena French | 1448 | — |
| LMArena German | 1451 | — |
| LMArena Korean | 1385 | — |
| LMArena Russian | 1395 | — |
| LMArena Spanish | 1409 | — |
Instruction Following Not comparable
Mistral Medium 3.5: 74.6 (#90), Qwen3.5-9B: —
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Instruction Following | 1415 | — |
Long Context Not comparable
Mistral Medium 3.5: 43.2 (#103), Qwen3.5-9B: —
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Longer Query | 1415 | — |
Writing & Preference Not comparable
Mistral Medium 3.5: 58.5 (#117), Qwen3.5-9B: —
| Benchmark | Mistral Medium 3.5 | Qwen3.5-9B |
|---|---|---|
| LMArena Text | 1421 | — |
| LMArena Creative Writing | 1374 | — |
| EQ-Bench 4 | 993 | — |
| LMArena Multi-Turn | 1423 | — |
Frequently asked questions
Is Mistral Medium 3.5 better than Qwen3.5-9B?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 33.8 on the Noometry Index. Qwen3.5-9B costs 27× less per token, which makes it the better buy when Mistral Medium 3.5's lead doesn't matter for your workload.
Which is cheaper, Mistral Medium 3.5 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 Medium 3.5 lists at $1.50 and $7.50.
Is Mistral Medium 3.5 or Qwen3.5-9B better for coding?
They score almost the same on coding (36.0 vs 35.9); test both on your own repository before choosing.
Which has the bigger context window?
Both accept 262K tokens.
How many benchmarks do Mistral Medium 3.5 and Qwen3.5-9B share?
1 benchmark has published results for both models. Mistral Medium 3.5 has 22 scored results on Noometry and Qwen3.5-9B has 10.