Model comparison
Mistral 7B vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 22.9 on the Noometry Index. Mistral 7B costs 3.5× 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 . 16 shared benchmarks.
Mistral AI
Alibaba (Qwen)Summary
- They share 16 benchmarks with published results for both. Mistral 7B scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3-Next 80B-A3B Instruct leads 41.3 to 7.3.
- Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
- Qwen3-Next 80B-A3B Instruct accepts more context: 131K tokens versus 8K.
Side by side
| Mistral 7B | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Mistral AI | Alibaba (Qwen) |
| Noometry Index | 22.9 | 42.5 |
| Released | 2023-09-27 | 2025-09 |
| Weights | Open | Open |
| Context window | 8K | 131K |
| Max output | 8K | 33K |
| Input $ / M tokens | $0.25 | $0.50 |
| Output $ / M tokens | $0.25 | $2 |
| Results tracked | 37 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Mistral 7B: 25.9 (#321), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)
| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1082 | 1441 |
| BigCodeBench Instruct | 19.5% | — |
| BigCodeBench Complete | 27.3% | — |
| HumanEval+ | 36% | — |
| MBPP+ | 42.1% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Mistral 7B: 12.6 (#331), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)
| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Hard Prompts | 1067 | 1428 |
| Kagi LLM Benchmark | — | 66.7% |
| Chess Puzzles | 0% | — |
| DTBench | 42.5% | — |
| Adversarial NLI | 47.1% | — |
| BIG-Bench Hard | 56.1% | — |
| Epoch Capabilities Index | 111.97 | — |
| HellaSwag | 81% | — |
| PIQA | 83% | — |
| WinoGrande | 75.3% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Mistral 7B: 7.6 (#319), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)
| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1085 | 1440 |
| OTIS Mock AIME 2024-2025 | 0.3% | — |
| Omni-MATH | — | 46.7% |
| MATH Level 5 | 3.7% | — |
| GSM8K | 54.4% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Mistral 7B: 7.3 (#306), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)
| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Expert | 1036 | 1416 |
| GPQA Diamond | 15.2% | — |
| MMLU-Pro | — | 78.6% |
| Vectara Hallucination Rate | — | 9.3% |
| GPQA (HELM) | — | 63% |
| ARC (AI2) Challenge | 78.6% | — |
| BoolQ | 87.4% | — |
| MMLU | 62.5% | — |
| OpenBookQA | 79.8% | — |
| TriviaQA | 75.2% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Mistral 7B: 26.0 (#278), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)
| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1012 | 1407 |
| LMArena Chinese | 1009 | 1461 |
| LMArena French | 1036 | 1415 |
| LMArena German | 987 | 1416 |
| LMArena Japanese | 878 | 1398 |
| LMArena Russian | 1018 | 1403 |
| LMArena Spanish | 1026 | 1436 |
| LMArena Korean | — | 1366 |
Instruction Following Qwen3-Next 80B-A3B Instruct leads
Mistral 7B: 54.5 (#275), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)
| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1060 | 1388 |
| IFEval | — | 81% |
Long Context Qwen3-Next 80B-A3B Instruct leads
Mistral 7B: 32.2 (#266), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)
| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Longer Query | 1060 | 1403 |
| Fiction.LiveBench | — | 55.6% |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Mistral 7B: 30.9 (#281), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)
| Benchmark | Mistral 7B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1090 | 1417 |
| LMArena Creative Writing | 1068 | 1333 |
| LMArena Multi-Turn | 1062 | 1415 |
| WildBench | — | 80.7% |
Frequently asked questions
Is Mistral 7B better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 22.9 on the Noometry Index. Mistral 7B costs 3.5× 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 7B or Qwen3-Next 80B-A3B Instruct?
Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is Mistral 7B or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 25.9 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Next 80B-A3B Instruct does, with 131K tokens against 8K.
How many benchmarks do Mistral 7B and Qwen3-Next 80B-A3B Instruct share?
16 benchmarks have published results for both models. Mistral 7B has 37 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.