Model comparison
Mistral Nemo vs Qwen3.5-9B
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 26.4 on the Noometry Index.
Last verified . 3 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Mistral Nemo scores higher in 1 category and Qwen3.5-9B in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.5-9B leads 46.0 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 79% for Qwen3.5-9B.
- Qwen3.5-9B is cheaper at $0.10 / $0.15 per million input/output tokens, against $0.15 / $0.15 for Mistral Nemo.
- Qwen3.5-9B accepts more context: 262K tokens versus 128K.
Side by side
| Mistral Nemo | Qwen3.5-9B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 33.8 |
| Released | 2024-07-01 | 2026-02-23 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.15 | $0.10 |
| Output $ / M tokens | $0.15 | $0.15 |
| Results tracked | 10 | 10 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Qwen3.5-9B: 35.9 (#217)
| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| SciCode | — | 27.5% |
Agentic & Tool Use Mistral Nemo leads
Mistral Nemo: 23.5 (#125), Qwen3.5-9B: 14.5 (#151)
| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| Terminal-Bench | — | 9.2% |
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning Qwen3.5-9B leads
Mistral Nemo: 20.7 (#232), Qwen3.5-9B: 23.1 (#182)
| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| DTBench | 48.6% | 71.2% |
| Epoch Capabilities Index | 118.68 | 139.46 |
| CritPt | — | 0.3% |
| Chess Puzzles | — | 12% |
| LMCA | — | 24.5% |
| PIQA | 83.5% | — |
Math Qwen3.5-9B leads
Mistral Nemo: 25.5 (#268), Qwen3.5-9B: 34.8 (#192)
| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 48.5% |
| OTIS Mock AIME 2024-2025 | — | 61.7% |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Qwen3.5-9B leads
Mistral Nemo: 12.3 (#298), Qwen3.5-9B: 46.0 (#84)
| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| GPQA Diamond | 29.9% | 79% |
| BoolQ | 82.5% | — |
Writing & Preference Not comparable
Mistral Nemo: 28.5 (#296), Qwen3.5-9B: —
| Benchmark | Mistral Nemo | Qwen3.5-9B |
|---|---|---|
| EQ-Bench Creative Writing | 881 | — |
Frequently asked questions
Is Mistral Nemo better than Qwen3.5-9B?
Qwen3.5-9B is the stronger model overall, scoring 33.8 to 26.4 on the Noometry Index.
Which is cheaper, Mistral Nemo 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 Nemo lists at $0.15 and $0.15.
Which has the bigger context window?
Qwen3.5-9B does, with 262K tokens against 128K.
How many benchmarks do Mistral Nemo and Qwen3.5-9B share?
3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3.5-9B has 10.