Model comparison
Mistral Small vs Mixtral 8x7B
Mistral Small is the stronger model overall, scoring 33.4 to 27.1 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Mistral Small scores higher in 7 categories and Mixtral 8x7B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Mistral Small leads 31.0 to 11.0.
- The biggest single-benchmark swing is MATH Level 5: 46.8% for Mistral Small and 10% for Mixtral 8x7B.
- Mistral Small is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
- Mistral Small accepts more context: 262K tokens versus 32K.
Side by side
| Mistral Small | Mixtral 8x7B | |
|---|---|---|
| Provider | Mistral AI | Mistral AI |
| Noometry Index | 33.4 | 27.1 |
| Released | 2024-02-26 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 262K | 32K |
| Max output | 256K | 32K |
| Input $ / M tokens | $0.15 | $0.70 |
| Output $ / M tokens | $0.60 | $0.70 |
| Results tracked | 39 | 38 |
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Category by category
Coding Mistral Small leads
Mistral Small: 34.0 (#247), Mixtral 8x7B: 32.8 (#269)
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| LMArena Coding | 1362 | 1126 |
| SciCode | 26.5% | — |
| BigCodeBench Instruct | 36.1% | — |
| LiveBench Coding | 36.2% | — |
| BigCodeBench Complete | 46.6% | — |
| ALE-Bench | 497.62 | — |
| HumanEval+ | — | 39.6% |
| MBPP+ | — | 49.7% |
Agentic & Tool Use Not comparable
Mistral Small: 28.1 (#93), Mixtral 8x7B: —
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.1% | — |
Reasoning Mistral Small leads
Mistral Small: 19.8 (#250), Mixtral 8x7B: 18.2 (#285)
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| LMArena Hard Prompts | 1335 | 1115 |
| DTBench | 70.9% | 49.6% |
| Kagi LLM Benchmark | 37.8% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 44.8% | — |
| LiveBench Data Analysis | 53.7% | — |
| LMCA | 20.6% | — |
| Adversarial NLI | — | 55.2% |
| Epoch Capabilities Index | — | 118.47 |
| ForecastBench | — | 56.3 |
| HellaSwag | — | 86.7% |
| LiveBench | 44% | — |
| PIQA | — | 83.6% |
| WinoGrande | — | 77.2% |
Math Mixtral 8x7B leads
Mistral Small: 16.4 (#293), Mixtral 8x7B: 18.8 (#289)
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| LMArena Math | 1341 | 1147 |
| MATH Level 5 | 46.8% | 10% |
| OTIS Mock AIME 2024-2025 | 5.8% | — |
| Omni-MATH | — | 10.5% |
| LiveBench Math | 39.9% | — |
| GSM8K | — | 74.4% |
Knowledge Mistral Small leads
Mistral Small: 31.0 (#222), Mixtral 8x7B: 11.0 (#301)
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| GPQA Diamond | 47.5% | 30.6% |
| LMArena Expert | 1291 | 1088 |
| MMLU | 68.7% | 70.6% |
| MMLU-Pro | — | 33.5% |
| Vectara Hallucination Rate | 5.1% | — |
| GPQA (HELM) | — | 29.6% |
| ARC (AI2) Challenge | — | 87.3% |
| OpenBookQA | — | 85.8% |
| TriviaQA | — | 82.2% |
Multimodal Not comparable
Mistral Small: 33.5 (#96), Mixtral 8x7B: —
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| LMArena Vision | 1142 | — |
Multilingual Mistral Small leads
Mistral Small: 45.5 (#169), Mixtral 8x7B: 29.6 (#266)
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| LMArena Non-English | 1315 | 1077 |
| LMArena Chinese | 1340 | 1055 |
| LMArena French | 1337 | 1166 |
| LMArena German | 1340 | 1114 |
| LMArena Japanese | 1275 | 931 |
| LMArena Korean | 1259 | 968 |
| LMArena Russian | 1324 | 1090 |
| LMArena Spanish | 1346 | 1111 |
Instruction Following Mistral Small leads
Mistral Small: 66.4 (#209), Mixtral 8x7B: 51.0 (#297)
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| LMArena Instruction Following | 1310 | 1109 |
| LiveBench Instruction Following | 63.7% | — |
| IFEval | — | 57.5% |
Long Context Mistral Small leads
Mistral Small: 40.4 (#156), Mixtral 8x7B: 33.4 (#260)
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| LMArena Longer Query | 1327 | 1103 |
Writing & Preference Mistral Small leads
Mistral Small: 52.5 (#171), Mixtral 8x7B: 34.2 (#270)
| Benchmark | Mistral Small | Mixtral 8x7B |
|---|---|---|
| LMArena Text | 1338 | 1132 |
| LMArena Creative Writing | 1305 | 1109 |
| LMArena Multi-Turn | 1344 | 1115 |
| WildBench | — | 67.3% |
| LiveBench Language | 30.5% | — |
Frequently asked questions
Is Mistral Small better than Mixtral 8x7B?
Mistral Small is the stronger model overall, scoring 33.4 to 27.1 on the Noometry Index.
Which is cheaper, Mistral Small or Mixtral 8x7B?
Mistral Small is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.
Is Mistral Small or Mixtral 8x7B better for coding?
Mistral Small scores higher on coding benchmarks: 34.0 versus 32.8 in the Noometry coding category.
Which has the bigger context window?
Mistral Small does, with 262K tokens against 32K.
How many benchmarks do Mistral Small and Mixtral 8x7B share?
21 benchmarks have published results for both models. Mistral Small has 39 scored results on Noometry and Mixtral 8x7B has 38.