Model comparison
Mistral Nemo vs Qwen3.7 Max
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 26.4 on the Noometry Index. Mistral Nemo costs 25× less per token, which makes it the better buy when Qwen3.7 Max'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 1 category and Qwen3.7 Max in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Max leads 61.6 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 29.9% for Mistral Nemo and 90.9% for Qwen3.7 Max.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $2.50 / $7.50 for Qwen3.7 Max.
- Qwen3.7 Max accepts more context: 1M tokens versus 128K.
- Mistral Nemo has downloadable open weights; the other is API-only.
Side by side
| Mistral Nemo | Qwen3.7 Max | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 26.4 | 51.5 |
| Released | 2024-07-01 | 2026-05-19 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.15 | $2.50 |
| Output $ / M tokens | $0.15 | $7.50 |
| Results tracked | 10 | 33 |
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Category by category
Coding Not comparable
Mistral Nemo: —, Qwen3.7 Max: 50.4 (#45)
| Benchmark | Mistral Nemo | Qwen3.7 Max |
|---|---|---|
| SWE-bench Verified | — | 77.3% |
| LMArena WebDev | — | 1515 |
| SciCode | — | 48.8% |
| LMArena Coding | — | 1498 |
| ALE-Bench | — | 1,189 |
Agentic & Tool Use Mistral Nemo leads
Mistral Nemo: 23.5 (#125), Qwen3.7 Max: 22.1 (#135)
| Benchmark | Mistral Nemo | Qwen3.7 Max |
|---|---|---|
| Berkeley Function Calling Leaderboard | 27.6% | — |
| BALROG | 17.6% | — |
| GBAEval | — | 0.4% |
Reasoning Qwen3.7 Max leads
Mistral Nemo: 20.7 (#232), Qwen3.7 Max: 49.2 (#38)
| Benchmark | Mistral Nemo | Qwen3.7 Max |
|---|---|---|
| DTBench | 48.6% | 92.3% |
| Epoch Capabilities Index | 118.68 | 153.68 |
| SimpleBench | — | 70.4% |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 13.4% |
| Chess Puzzles | — | 19% |
| EBR-Bench | — | 9.5% |
| LMArena Hard Prompts | — | 1483 |
| Mystery Game Puzzles | — | 32% |
| LMCA | — | 44% |
| PIQA | 83.5% | — |
Math Qwen3.7 Max leads
Mistral Nemo: 25.5 (#268), Qwen3.7 Max: 62.4 (#32)
| Benchmark | Mistral Nemo | Qwen3.7 Max |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 34.1% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | — | 26% |
| LMArena Math | — | 1490 |
| MATH Level 5 | 10.8% | — |
| GSM8K | 84.2% | — |
Knowledge Qwen3.7 Max leads
Mistral Nemo: 12.3 (#298), Qwen3.7 Max: 61.6 (#28)
| Benchmark | Mistral Nemo | Qwen3.7 Max |
|---|---|---|
| GPQA Diamond | 29.9% | 90.9% |
| SimpleQA Verified | — | 55.8% |
| LMArena Expert | — | 1488 |
| BoolQ | 82.5% | — |
Multilingual Not comparable
Mistral Nemo: —, Qwen3.7 Max: 56.9 (#15)
| Benchmark | Mistral Nemo | Qwen3.7 Max |
|---|---|---|
| LMArena Non-English | — | 1474 |
| LMArena Chinese | — | 1530 |
| LMArena Russian | — | 1484 |
Instruction Following Not comparable
Mistral Nemo: —, Qwen3.7 Max: 76.7 (#38)
| Benchmark | Mistral Nemo | Qwen3.7 Max |
|---|---|---|
| LMArena Instruction Following | — | 1460 |
Long Context Not comparable
Mistral Nemo: —, Qwen3.7 Max: 45.4 (#40)
| Benchmark | Mistral Nemo | Qwen3.7 Max |
|---|---|---|
| LMArena Longer Query | — | 1482 |
Writing & Preference Qwen3.7 Max leads
Mistral Nemo: 28.5 (#296), Qwen3.7 Max: 65.0 (#54)
| Benchmark | Mistral Nemo | Qwen3.7 Max |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1449 |
| EQ-Bench Creative Writing | 881 | — |
| EQ-Bench 4 | — | 1110 |
| LMArena Multi-Turn | — | 1481 |
Frequently asked questions
Is Mistral Nemo better than Qwen3.7 Max?
Qwen3.7 Max is the stronger model overall, scoring 51.5 to 26.4 on the Noometry Index. Mistral Nemo costs 25× less per token, which makes it the better buy when Qwen3.7 Max's lead doesn't matter for your workload.
Which is cheaper, Mistral Nemo or Qwen3.7 Max?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; Qwen3.7 Max lists at $2.50 and $7.50.
Which has the bigger context window?
Qwen3.7 Max does, with 1M tokens against 128K.
How many benchmarks do Mistral Nemo and Qwen3.7 Max share?
3 benchmarks have published results for both models. Mistral Nemo has 10 scored results on Noometry and Qwen3.7 Max has 33.