Model comparison
Mistral Large 3 vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 38.6 on the Noometry Index. Mistral Large 3 costs 2.3× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Mistral Large 3 scores higher in 4 categories and Qwen3-Next 80B-A3B Instruct in 4 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 30.1 to 14.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 50.9% for Mistral Large 3 and 66.7% for Qwen3-Next 80B-A3B Instruct.
- Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- Mistral Large 3 accepts more context: 262K tokens versus 131K.
Side by side
| Mistral Large 3 | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 38.6 | 42.5 |
| Released | 2025-12-02 | 2025-09 |
| Weights | Open | Open |
| Context window | 262K | 131K |
| Max output | 8K | 33K |
| Input $ / M tokens | $0.25 | $0.50 |
| Output $ / M tokens | $0.75 | $2 |
| Results tracked | 24 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Mistral Large 3: 34.1 (#230), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Mistral Large 3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1447 | 1441 |
| LMArena WebDev | 1230 | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Mistral Large 3: 14.6 (#314), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Mistral Large 3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 50.9% | 66.7% |
| LMArena Hard Prompts | 1429 | 1428 |
| NYT Connections (extended) | 7.5% | — |
| Thematic Generalization | 23% | — |
Math Too close to call
Mistral Large 3: 36.0 (#131), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Mistral Large 3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1415 | 1440 |
| Omni-MATH | — | 46.7% |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Mistral Large 3: 35.5 (#173), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Mistral Large 3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vectara Hallucination Rate | 14.5% | 9.3% |
| LMArena Expert | 1421 | 1416 |
| MMLU-Pro | — | 78.6% |
| GPQA (HELM) | — | 63% |
Multimodal Not comparable
Mistral Large 3: 37.6 (#65), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Mistral Large 3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1222 | — |
Multilingual Too close to call
Mistral Large 3: 52.6 (#79), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Mistral Large 3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1412 | 1407 |
| LMArena Chinese | 1448 | 1461 |
| LMArena French | 1456 | 1415 |
| LMArena German | 1438 | 1416 |
| LMArena Japanese | 1399 | 1398 |
| LMArena Korean | 1384 | 1366 |
| LMArena Russian | 1412 | 1403 |
| LMArena Spanish | 1437 | 1436 |
Instruction Following Mistral Large 3 leads
Mistral Large 3: 74.1 (#104), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Mistral Large 3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1402 | 1388 |
| IFEval | — | 81% |
Long Context Mistral Large 3 leads
Mistral Large 3: 43.1 (#102), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Mistral Large 3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1413 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Mistral Large 3 leads
Mistral Large 3: 60.2 (#100), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Mistral Large 3 | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1427 | 1417 |
| LMArena Creative Writing | 1385 | 1333 |
| LMArena Multi-Turn | 1429 | 1415 |
| EQ-Bench Creative Writing | 1412 | — |
| WildBench | — | 80.7% |
Frequently asked questions
Is Mistral Large 3 better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 38.6 on the Noometry Index. Mistral Large 3 costs 2.3× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.
Which is cheaper, Mistral Large 3 or Qwen3-Next 80B-A3B Instruct?
Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is Mistral Large 3 or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 34.1 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-Next 80B-A3B Instruct share?
19 benchmarks have published results for both models. Mistral Large 3 has 24 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.