Model comparison
Mistral Large 4 vs Qwen3.7 Plus
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 43.1 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Mistral Large 4 scores higher in 1 category and Qwen3.7 Plus in 7 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Plus leads 54.9 to 36.6.
- The biggest single-benchmark swing is NYT Connections (extended): 27.4% for Mistral Large 4 and 74.8% for Qwen3.7 Plus.
- Qwen3.7 Plus is cheaper at $0.40 / $1.60 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 Plus | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 43.1 | 45.3 |
| Released | 2026-10-06 | 2026-06-02 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 262K | 131K |
| Input $ / M tokens | $0.68 | $0.40 |
| Output $ / M tokens | $2.09 | $1.60 |
| Results tracked | 15 | 32 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Qwen3.7 Plus: 36.6 (#206)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| LMArena Coding | 1475 | 1473 |
| FrontierCode | — | 10.2% |
| LMArena WebDev | 1541 | — |
| SciCode | — | 45.5% |
Agentic & Tool Use Not comparable
Mistral Large 4: —, Qwen3.7 Plus: 21.4 (#138)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| OSWorld 2.0 | — | 2.8% |
Reasoning Qwen3.7 Plus leads
Mistral Large 4: 22.5 (#192), Qwen3.7 Plus: 39.3 (#59)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| NYT Connections (extended) | 27.4% | 74.8% |
| LMArena Hard Prompts | 1444 | 1460 |
| CritPt | — | 9.1% |
| Chess Puzzles | — | 24% |
| Mystery Game Puzzles | — | 17% |
| DTBench | — | 84% |
| LMCA | — | 37.6% |
| Epoch Capabilities Index | — | 147.37 |
Math Qwen3.7 Plus leads
Mistral Large 4: 40.4 (#91), Qwen3.7 Plus: 50.5 (#56)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| LMArena Math | 1488 | 1466 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
Knowledge Qwen3.7 Plus leads
Mistral Large 4: 36.6 (#166), Qwen3.7 Plus: 54.9 (#51)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| LMArena Expert | 1447 | 1467 |
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | 20% | — |
Multimodal Not comparable
Mistral Large 4: —, Qwen3.7 Plus: 41.8 (#33)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1279 |
| LMArena Document | — | 1444 |
Multilingual Qwen3.7 Plus leads
Mistral Large 4: 52.6 (#82), Qwen3.7 Plus: 54.8 (#38)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1415 | 1445 |
| LMArena Chinese | 1491 | 1510 |
| LMArena Russian | 1414 | 1457 |
| LMArena French | — | 1473 |
| LMArena German | — | 1471 |
| LMArena Japanese | — | 1413 |
| LMArena Korean | — | 1415 |
| LMArena Spanish | — | 1457 |
Instruction Following Too close to call
Mistral Large 4: 75.0 (#76), Qwen3.7 Plus: 75.8 (#52)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1424 | 1440 |
Long Context Too close to call
Mistral Large 4: 43.6 (#89), Qwen3.7 Plus: 44.5 (#65)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1429 | 1455 |
Writing & Preference Qwen3.7 Plus leads
Mistral Large 4: 60.4 (#97), Qwen3.7 Plus: 64.3 (#56)
| Benchmark | Mistral Large 4 | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1427 | 1455 |
| LMArena Creative Writing | 1361 | 1439 |
| LMArena Multi-Turn | 1424 | 1460 |
Frequently asked questions
Is Mistral Large 4 better than Qwen3.7 Plus?
Qwen3.7 Plus is the stronger model overall, scoring 45.3 to 43.1 on the Noometry Index.
Which is cheaper, Mistral Large 4 or Qwen3.7 Plus?
Qwen3.7 Plus is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is Mistral Large 4 or Qwen3.7 Plus better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 36.6 in the Noometry coding category.
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 Plus share?
13 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.7 Plus has 32.