Model comparison
Mistral Large 3 vs Qwen3-VL 235B-A22B
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 39.1 on the Noometry Index. Mistral Large 3 costs 3.3× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Mistral Large 3 scores higher in 1 category and Qwen3-VL 235B-A22B in 8 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-VL 235B-A22B leads 29.3 to 15.2.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.70 / $2.80 for Qwen3-VL 235B-A22B.
- Mistral Large 3 accepts more context: 262K tokens versus 131K.
Side by side
| Mistral Large 3 | Qwen3-VL 235B-A22B | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 39.1 | 43.2 |
| Released | 2025-12-02 | 2025-04 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 8K | 33K |
| Input $ / M tokens | $0.25 | $0.70 |
| Output $ / M tokens | $0.75 | $2.80 |
| Results tracked | 24 | 18 |
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Category by category
Coding Qwen3-VL 235B-A22B leads
Mistral Large 3: 34.4 (#237), Qwen3-VL 235B-A22B: 42.4 (#100)
| Benchmark | Mistral Large 3 | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Coding | 1448 | 1439 |
| LMArena WebDev | 1230 | — |
Reasoning Qwen3-VL 235B-A22B leads
Mistral Large 3: 15.2 (#319), Qwen3-VL 235B-A22B: 29.3 (#92)
| Benchmark | Mistral Large 3 | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1428 |
| Kagi LLM Benchmark | 50.9% | — |
| NYT Connections (extended) | 7.5% | — |
| Thematic Generalization | 23% | — |
Math Too close to call
Mistral Large 3: 38.7 (#129), Qwen3-VL 235B-A22B: 39.0 (#118)
| Benchmark | Mistral Large 3 | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Math | 1414 | 1426 |
Knowledge Qwen3-VL 235B-A22B leads
Mistral Large 3: 36.0 (#177), Qwen3-VL 235B-A22B: 40.3 (#121)
| Benchmark | Mistral Large 3 | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Expert | 1421 | 1442 |
| Vectara Hallucination Rate | 14.5% | — |
Multimodal Qwen3-VL 235B-A22B leads
Mistral Large 3: 38.2 (#66), Qwen3-VL 235B-A22B: 39.8 (#55)
| Benchmark | Mistral Large 3 | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Vision | 1221 | 1247 |
Multilingual Too close to call
Mistral Large 3: 52.5 (#84), Qwen3-VL 235B-A22B: 51.9 (#97)
| Benchmark | Mistral Large 3 | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Non-English | 1413 | 1405 |
| LMArena Chinese | 1447 | 1463 |
| LMArena French | 1455 | 1452 |
| LMArena German | 1437 | 1424 |
| LMArena Japanese | 1394 | 1385 |
| LMArena Korean | 1384 | 1394 |
| LMArena Russian | 1411 | 1408 |
| LMArena Spanish | 1440 | 1428 |
Instruction Following Too close to call
Mistral Large 3: 74.0 (#108), Qwen3-VL 235B-A22B: 74.2 (#101)
| Benchmark | Mistral Large 3 | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Instruction Following | 1403 | 1406 |
Long Context Too close to call
Mistral Large 3: 43.1 (#105), Qwen3-VL 235B-A22B: 43.4 (#98)
| Benchmark | Mistral Large 3 | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Longer Query | 1413 | 1420 |
Writing & Preference Too close to call
Mistral Large 3: 60.0 (#101), Qwen3-VL 235B-A22B: 60.2 (#99)
| Benchmark | Mistral Large 3 | Qwen3-VL 235B-A22B |
|---|---|---|
| LMArena Text | 1428 | 1420 |
| LMArena Creative Writing | 1386 | 1366 |
| LMArena Multi-Turn | 1429 | 1428 |
| EQ-Bench Creative Writing | 1412 | — |
Frequently asked questions
Is Mistral Large 3 better than Qwen3-VL 235B-A22B?
Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 39.1 on the Noometry Index. Mistral Large 3 costs 3.3× less per token, which makes it the better buy when Qwen3-VL 235B-A22B's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 3 or Qwen3-VL 235B-A22B?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Qwen3-VL 235B-A22B lists at $0.70 and $2.80.
Is Mistral Large 3 or Qwen3-VL 235B-A22B better for coding?
Qwen3-VL 235B-A22B scores higher on coding benchmarks: 42.4 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Mistral Large 3 does, with 262K tokens against 131K.
How many benchmarks do Mistral Large 3 and Qwen3-VL 235B-A22B share?
18 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3-VL 235B-A22B has 18.