Model comparison
Mistral Large 4 vs Qwen3.5-Flash
Mistral Large 4 and Qwen3.5-Flash score almost the same on the Noometry Index (43.1 vs 42.5), so choose on price, context window or the category you care about most.
Last verified . 14 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. Mistral Large 4 scores higher in 6 categories and Qwen3.5-Flash in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where Mistral Large 4 leads 48.6 to 34.2.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 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 | Qwen3.5-Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 43.1 | 42.5 |
| Released | 2026-10-06 | 2026-02-23 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1M |
| Max output | 262K | 66K |
| Input $ / M tokens | $0.68 | $0.10 |
| Output $ / M tokens | $2.09 | $0.40 |
| Results tracked | 15 | 32 |
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Category by category
Coding Mistral Large 4 leads
Mistral Large 4: 48.6 (#57), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | Mistral Large 4 | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | 1541 | 1244 |
| LMArena Coding | 1475 | 1412 |
| ALE-Bench | — | 221.8 |
Agentic & Tool Use Not comparable
Mistral Large 4: —, Qwen3.5-Flash: —
| Benchmark | Mistral Large 4 | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Mistral Large 4: 22.5 (#192), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | Mistral Large 4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1444 | 1403 |
| NYT Connections (extended) | 27.4% | — |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 143.98 |
Math Mistral Large 4 leads
Mistral Large 4: 40.4 (#91), Qwen3.5-Flash: 37.4 (#158)
| Benchmark | Mistral Large 4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1488 | 1407 |
| FrontierMath (Tiers 1-3) | — | 18.2% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| FrontierMath (Feb 2025 set) | — | 6.2% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.5-Flash leads
Mistral Large 4: 36.6 (#166), Qwen3.5-Flash: 43.2 (#93)
| Benchmark | Mistral Large 4 | Qwen3.5-Flash |
|---|---|---|
| SimpleQA Verified | 20% | 20.3% |
| LMArena Expert | 1447 | 1407 |
| GPQA Diamond | — | 82.3% |
| Vectara Hallucination Rate | — | 10.5% |
Multilingual Mistral Large 4 leads
Mistral Large 4: 52.6 (#82), Qwen3.5-Flash: 50.5 (#121)
| Benchmark | Mistral Large 4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1415 | 1385 |
| LMArena Chinese | 1491 | 1446 |
| LMArena Russian | 1414 | 1379 |
| LMArena French | — | 1412 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1368 |
| LMArena Korean | — | 1344 |
| LMArena Spanish | — | 1400 |
Instruction Following Mistral Large 4 leads
Mistral Large 4: 75.0 (#76), Qwen3.5-Flash: 72.6 (#139)
| Benchmark | Mistral Large 4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1424 | 1374 |
Long Context Mistral Large 4 leads
Mistral Large 4: 43.6 (#89), Qwen3.5-Flash: 42.4 (#124)
| Benchmark | Mistral Large 4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1429 | 1392 |
Writing & Preference Mistral Large 4 leads
Mistral Large 4: 60.4 (#97), Qwen3.5-Flash: 57.9 (#122)
| Benchmark | Mistral Large 4 | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1427 | 1397 |
| LMArena Creative Writing | 1361 | 1343 |
| LMArena Multi-Turn | 1424 | 1393 |
Frequently asked questions
Is Mistral Large 4 better than Qwen3.5-Flash?
Mistral Large 4 and Qwen3.5-Flash score almost the same on the Noometry Index (43.1 vs 42.5), so choose on price, context window or the category you care about most.
Which is cheaper, Mistral Large 4 or Qwen3.5-Flash?
Qwen3.5-Flash is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Mistral Large 4 lists at $0.68 and $2.09.
Is Mistral Large 4 or Qwen3.5-Flash better for coding?
Mistral Large 4 scores higher on coding benchmarks: 48.6 versus 34.2 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 Qwen3.5-Flash share?
14 benchmarks have published results for both models. Mistral Large 4 has 15 scored results on Noometry and Qwen3.5-Flash has 32.