Model comparison
Mistral Medium 3.1 vs Mixtral 8x22B
Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 27.1 on the Noometry Index.
Last verified . 0 shared benchmarks.
Mistral AISummary
- The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.5 to 36.9.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
- Mistral Medium 3.1 accepts more context: 131K tokens versus 64K.
- Mixtral 8x22B has downloadable open weights; the other is API-only.
Side by side
| Mistral Medium 3.1 | Mixtral 8x22B | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 31.9 | 27.1 |
| Released | — | 2024-04-17 |
| Weights | Proprietary | Open |
| Context window | 131K | 64K |
| Max output | 105K | 64K |
| Input $ / M tokens | $0.40 | $2 |
| Output $ / M tokens | $2 | $6 |
| Results tracked | 3 | 34 |
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Category by category
Coding Not comparable
Mistral Medium 3.1: —, Mixtral 8x22B: 24.2 (#329)
| Benchmark | Mistral Medium 3.1 | Mixtral 8x22B |
|---|---|---|
| WeirdML | — | 3.2% |
| BigCodeBench Instruct | — | 40.6% |
| LMArena Coding | — | 1166 |
| BigCodeBench Complete | — | 50.2% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 64.3% |
Agentic & Tool Use Not comparable
Mistral Medium 3.1: —, Mixtral 8x22B: 23.1 (#127)
| Benchmark | Mistral Medium 3.1 | Mixtral 8x22B |
|---|---|---|
| Cybench | — | 7.5% |
Reasoning Mixtral 8x22B leads
Mistral Medium 3.1: 10.6 (#341), Mixtral 8x22B: 19.9 (#248)
| Benchmark | Mistral Medium 3.1 | Mixtral 8x22B |
|---|---|---|
| NYT Connections (extended) | 6.5% | — |
| Thematic Generalization | 20.3% | — |
| LMArena Hard Prompts | — | 1150 |
| DTBench | — | 55.1% |
| Epoch Capabilities Index | — | 122.03 |
| ForecastBench | — | 56.3 |
Math Not comparable
Mistral Medium 3.1: —, Mixtral 8x22B: 22.9 (#275)
| Benchmark | Mistral Medium 3.1 | Mixtral 8x22B |
|---|---|---|
| Omni-MATH | — | 16.3% |
| LMArena Math | — | 1184 |
| MATH Level 5 | — | 24.2% |
Knowledge Not comparable
Mistral Medium 3.1: —, Mixtral 8x22B: 15.1 (#293)
| Benchmark | Mistral Medium 3.1 | Mixtral 8x22B |
|---|---|---|
| GPQA Diamond | — | 34.1% |
| MMLU-Pro | — | 46% |
| GPQA (HELM) | — | 33.4% |
| LMArena Expert | — | 1113 |
| MMLU | — | 77.8% |
Multilingual Not comparable
Mistral Medium 3.1: —, Mixtral 8x22B: 32.8 (#255)
| Benchmark | Mistral Medium 3.1 | Mixtral 8x22B |
|---|---|---|
| LMArena Non-English | — | 1128 |
| LMArena Chinese | — | 1116 |
| LMArena French | — | 1166 |
| LMArena German | — | 1141 |
| LMArena Japanese | — | 1037 |
| LMArena Korean | — | 1057 |
| LMArena Russian | — | 1158 |
| LMArena Spanish | — | 1151 |
Instruction Following Not comparable
Mistral Medium 3.1: —, Mixtral 8x22B: 57.7 (#266)
| Benchmark | Mistral Medium 3.1 | Mixtral 8x22B |
|---|---|---|
| IFEval | — | 72.4% |
| LMArena Instruction Following | — | 1147 |
Long Context Not comparable
Mistral Medium 3.1: —, Mixtral 8x22B: 34.7 (#247)
| Benchmark | Mistral Medium 3.1 | Mixtral 8x22B |
|---|---|---|
| LMArena Longer Query | — | 1144 |
Writing & Preference Mistral Medium 3.1 leads
Mistral Medium 3.1: 55.5 (#145), Mixtral 8x22B: 36.9 (#262)
| Benchmark | Mistral Medium 3.1 | Mixtral 8x22B |
|---|---|---|
| LMArena Text | — | 1162 |
| LMArena Creative Writing | — | 1141 |
| EQ-Bench Creative Writing | 1476 | — |
| WildBench | — | 71.1% |
| LMArena Multi-Turn | — | 1130 |
Frequently asked questions
Is Mistral Medium 3.1 better than Mixtral 8x22B?
Mistral Medium 3.1 is the stronger model overall, scoring 31.9 to 27.1 on the Noometry Index.
Which is cheaper, Mistral Medium 3.1 or Mixtral 8x22B?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Mixtral 8x22B lists at $2 and $6.
Which has the bigger context window?
Mistral Medium 3.1 does, with 131K tokens against 64K.
How many benchmarks do Mistral Medium 3.1 and Mixtral 8x22B share?
0 benchmarks have published results for both models. Mistral Medium 3.1 has 3 scored results on Noometry and Mixtral 8x22B has 34.