Model comparison
Mistral Large 4 vs Qwen3.7 Flash
Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 19× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 1 benchmark with published results for both. Mistral Large 4 scores higher in 1 category and Qwen3.7 Flash in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 36.6.
- The biggest single-benchmark swing is NYT Connections (extended): 27.4% for Mistral Large 4 and 43.8% for Qwen3.7 Flash.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.68 / $2.09 for Mistral Large 4.
- Mistral Large 4 accepts more context: 1.05M tokens versus 1M.
Side by side
| Mistral Large 4 | Qwen3.7 Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 43.1 | 39.9 |
| Released | 2026-10-06 | 2026-07-15 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 262K | 131K |
| Input $ / M tokens | $0.68 | $0.03 |
| Output $ / M tokens | $2.09 | $0.13 |
| Results tracked | 15 | 7 |
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Category by category
Coding Not comparable
Mistral Large 4: 48.6 (#57), Qwen3.7 Flash: —
| Benchmark | Mistral Large 4 | Qwen3.7 Flash |
|---|---|---|
| LMArena WebDev | 1541 | — |
| LMArena Coding | 1475 | — |
Reasoning Qwen3.7 Flash leads
Mistral Large 4: 22.5 (#192), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | Mistral Large 4 | Qwen3.7 Flash |
|---|---|---|
| NYT Connections (extended) | 27.4% | 43.8% |
| Chess Puzzles | — | 23% |
| LMArena Hard Prompts | 1444 | — |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.64 |
Math Mistral Large 4 leads
Mistral Large 4: 40.4 (#91), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | Mistral Large 4 | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1488 | — |
Knowledge Qwen3.7 Flash leads
Mistral Large 4: 36.6 (#166), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | Mistral Large 4 | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| SimpleQA Verified | 20% | — |
| LMArena Expert | 1447 | — |
Multilingual Not comparable
Mistral Large 4: 52.6 (#82), Qwen3.7 Flash: —
| Benchmark | Mistral Large 4 | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1415 | — |
| LMArena Chinese | 1491 | — |
| LMArena Russian | 1414 | — |
Instruction Following Not comparable
Mistral Large 4: 75.0 (#76), Qwen3.7 Flash: —
| Benchmark | Mistral Large 4 | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1424 | — |
Long Context Not comparable
Mistral Large 4: 43.6 (#89), Qwen3.7 Flash: —
| Benchmark | Mistral Large 4 | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1429 | — |
Writing & Preference Not comparable
Mistral Large 4: 60.4 (#97), Qwen3.7 Flash: —
| Benchmark | Mistral Large 4 | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1427 | — |
| LMArena Creative Writing | 1361 | — |
| LMArena Multi-Turn | 1424 | — |
Frequently asked questions
Is Mistral Large 4 better than Qwen3.7 Flash?
Mistral Large 4 is the stronger model overall, scoring 43.1 to 39.9 on the Noometry Index. Qwen3.7 Flash costs 19× less per token, which makes it the better buy when Mistral Large 4's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 4 or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Which has the bigger context window?
Mistral Large 4 does, with 1.05M tokens against 1M.
How many benchmarks do Mistral Large 4 and Qwen3.7 Flash share?
1 benchmark has published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.7 Flash has 7.