Model comparison
Mistral Large 3 vs Qwen3.5-Flash
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 39.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 19 benchmarks with published results for both. Mistral Large 3 scores higher in 6 categories and Qwen3.5-Flash in 2 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3.5-Flash leads 33.7 to 15.2.
- Qwen3.5-Flash is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
- Qwen3.5-Flash accepts more context: 1M tokens versus 262K.
- Mistral Large 3 has downloadable open weights; the other is API-only.
Side by side
| Mistral Large 3 | Qwen3.5-Flash | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.1 | 42.5 |
| Released | 2025-12-02 | 2026-02-23 |
| Weights | Open | Proprietary |
| Context window | 262K | 1M |
| Max output | 8K | 66K |
| Input $ / M tokens | $0.25 | $0.10 |
| Output $ / M tokens | $0.75 | $0.40 |
| Results tracked | 24 | 32 |
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Category by category
Coding Too close to call
Mistral Large 3: 34.4 (#237), Qwen3.5-Flash: 34.2 (#242)
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| LMArena WebDev | 1230 | 1244 |
| LMArena Coding | 1448 | 1412 |
| ALE-Bench | — | 221.8 |
Agentic & Tool Use Not comparable
Mistral Large 3: —, Qwen3.5-Flash: —
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| Vending-Bench 2 | — | 462.69 |
Reasoning Qwen3.5-Flash leads
Mistral Large 3: 15.2 (#319), Qwen3.5-Flash: 33.7 (#72)
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1403 |
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| Chess Puzzles | — | 21% |
| Thematic Generalization | 23% | — |
| Mystery Game Puzzles | — | 20% |
| DTBench | — | 82.9% |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 143.98 |
Math Mistral Large 3 leads
Mistral Large 3: 38.7 (#129), Qwen3.5-Flash: 37.4 (#158)
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Math | 1414 | 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 3: 36.0 (#177), Qwen3.5-Flash: 43.2 (#93)
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| Vectara Hallucination Rate | 14.5% | 10.5% |
| LMArena Expert | 1421 | 1407 |
| GPQA Diamond | — | 82.3% |
| SimpleQA Verified | — | 20.3% |
Multimodal Not comparable
Mistral Large 3: 38.2 (#66), Qwen3.5-Flash: —
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Vision | 1221 | — |
Multilingual Mistral Large 3 leads
Mistral Large 3: 52.5 (#84), Qwen3.5-Flash: 50.5 (#121)
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Non-English | 1413 | 1385 |
| LMArena Chinese | 1447 | 1446 |
| LMArena French | 1455 | 1412 |
| LMArena German | 1437 | 1390 |
| LMArena Japanese | 1394 | 1368 |
| LMArena Korean | 1384 | 1344 |
| LMArena Russian | 1411 | 1379 |
| LMArena Spanish | 1440 | 1400 |
Instruction Following Mistral Large 3 leads
Mistral Large 3: 74.0 (#108), Qwen3.5-Flash: 72.6 (#139)
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Instruction Following | 1403 | 1374 |
Long Context Too close to call
Mistral Large 3: 43.1 (#105), Qwen3.5-Flash: 42.4 (#124)
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Longer Query | 1413 | 1392 |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.0 (#101), Qwen3.5-Flash: 57.9 (#122)
| Benchmark | Mistral Large 3 | Qwen3.5-Flash |
|---|---|---|
| LMArena Text | 1428 | 1397 |
| LMArena Creative Writing | 1386 | 1343 |
| LMArena Multi-Turn | 1429 | 1393 |
| EQ-Bench Creative Writing | 1412 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen3.5-Flash?
Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 39.1 on the Noometry Index.
Which is cheaper, Mistral Large 3 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 3 lists at $0.25 and $0.75.
Is Mistral Large 3 or Qwen3.5-Flash better for coding?
They score almost the same on coding (34.4 vs 34.2); test both on your own repository before choosing.
Which has the bigger context window?
Qwen3.5-Flash does, with 1M tokens against 262K.
How many benchmarks do Mistral Large 3 and Qwen3.5-Flash share?
19 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3.5-Flash has 32.