Model comparison
Mistral Nemo vs Qwen3.6 Flash
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 26.4 on the Noometry Index. Mistral Nemo costs 2.8× less per token, which makes it the better buy when Qwen3.6 Flash'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 Nemo scores higher in 0 categories and Qwen3.6 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Flash leads 42.1 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 83.3% for Qwen3.6 Flash.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.19 / $1.13 for Qwen3.6 Flash.
- Qwen3.6 Flash accepts more context: 1M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Mistral Nemo | Qwen3.6 Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 38.8 |
| Released | 2024-07-01 | 2026-04-27 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.15 | $0.19 |
| Output $ / M tokens | $0.15 | $1.13 |
| Results tracked | 10 | 13 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Qwen3.6 Flash: —
| Benchmark | Mistral Nemo | Qwen3.6 Flash |
|---|---|---|
| ALE-Bench | — | 326.4 |
Agentic & Tool Use Not comparable
Mistral Nemo: 23.5 (#125), Qwen3.6 Flash: —
| Benchmark | Mistral Nemo | Qwen3.6 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
Reasoning Qwen3.6 Flash leads
Mistral Nemo: 20.7 (#232), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | Mistral Nemo | Qwen3.6 Flash |
|---|---|---|
| DTBench | 48.6% | 77.1% |
| Epoch Capabilities Index | 118.68 | 143.26 |
| SimpleBench | — | 35.2% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 18% |
| LMCA | — | 31% |
| PIQA | 83.5% | — |
Math Qwen3.6 Flash leads
Mistral Nemo: 25.5 (#268), Qwen3.6 Flash: 39.0 (#117)
| Benchmark | Mistral Nemo | Qwen3.6 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 22.5% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| MATH Level 5 | 10.8% | — |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
| GSM8K | 84.2% | — |
Knowledge Qwen3.6 Flash leads
Mistral Nemo: 12.3 (#298), Qwen3.6 Flash: 42.1 (#100)
| Benchmark | Mistral Nemo | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | 29.9% | 83.3% |
| SimpleQA Verified | — | 15.9% |
| BoolQ | 82.5% | — |
Writing & Preference Not comparable
Mistral Nemo: 28.5 (#296), Qwen3.6 Flash: —
| Benchmark | Mistral Nemo | Qwen3.6 Flash |
|---|---|---|
| EQ-Bench Creative Writing | 881 | — |
Frequently asked questions
Is Mistral Nemo better than Qwen3.6 Flash?
Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 26.4 on the Noometry Index. Mistral Nemo costs 2.8× less per token, which makes it the better buy when Qwen3.6 Flash's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or Qwen3.6 Flash?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3.6 Flash lists at $0.19 and $1.13.
Which has the bigger context window?
Qwen3.6 Flash does, with 1M tokens against 128K.
How many benchmarks do Mistral Nemo and Qwen3.6 Flash share?
3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3.6 Flash has 13.