Model comparison
Mixtral 8x7B vs Olmo 3 32b Think
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 27.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Mistral AI
Allen Institute for AI (Ai2)Summary
- They share 14 benchmarks with published results for both. Mixtral 8x7B scores higher in 0 categories and Olmo 3 32b Think in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Olmo 3 32b Think leads 35.0 to 11.0.
Side by side
| Mixtral 8x7B | Olmo 3 32b Think | |
|---|---|---|
| Provider | Mistral AI | Allen Institute for AI (Ai2) |
| Noometry Index | 27.1 | 38.7 |
| Released | 2023-12-11 | — |
| Weights | Open | Open |
| Context window | 32K | — |
| Max output | 32K | — |
| Input $ / M tokens | $0.70 | — |
| Output $ / M tokens | $0.70 | — |
| Results tracked | 38 | 14 |
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Category by category
Coding Olmo 3 32b Think leads
Mixtral 8x7B: 32.8 (#269), Olmo 3 32b Think: 38.6 (#172)
| Benchmark | Mixtral 8x7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1126 | 1319 |
| HumanEval+ | 39.6% | — |
| MBPP+ | 49.7% | — |
Reasoning Olmo 3 32b Think leads
Mixtral 8x7B: 18.2 (#285), Olmo 3 32b Think: 25.9 (#140)
| Benchmark | Mixtral 8x7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1115 | 1302 |
| DTBench | 49.6% | — |
| Adversarial NLI | 55.2% | — |
| Epoch Capabilities Index | 118.47 | — |
| ForecastBench | 56.3 | — |
| HellaSwag | 86.7% | — |
| PIQA | 83.6% | — |
| WinoGrande | 77.2% | — |
Math Olmo 3 32b Think leads
Mixtral 8x7B: 18.8 (#289), Olmo 3 32b Think: 36.5 (#165)
| Benchmark | Mixtral 8x7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1147 | 1316 |
| Omni-MATH | 10.5% | — |
| MATH Level 5 | 10% | — |
| GSM8K | 74.4% | — |
Knowledge Olmo 3 32b Think leads
Mixtral 8x7B: 11.0 (#301), Olmo 3 32b Think: 35.0 (#190)
| Benchmark | Mixtral 8x7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1088 | 1273 |
| GPQA Diamond | 30.6% | — |
| MMLU-Pro | 33.5% | — |
| GPQA (HELM) | 29.6% | — |
| ARC (AI2) Challenge | 87.3% | — |
| MMLU | 70.6% | — |
| OpenBookQA | 85.8% | — |
| TriviaQA | 82.2% | — |
Multilingual Olmo 3 32b Think leads
Mixtral 8x7B: 29.6 (#266), Olmo 3 32b Think: 41.2 (#210)
| Benchmark | Mixtral 8x7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1077 | 1255 |
| LMArena Chinese | 1055 | 1300 |
| LMArena French | 1166 | 1291 |
| LMArena German | 1114 | 1290 |
| LMArena Russian | 1090 | 1254 |
| LMArena Japanese | 931 | — |
| LMArena Korean | 968 | — |
| LMArena Spanish | 1111 | — |
Instruction Following Olmo 3 32b Think leads
Mixtral 8x7B: 51.0 (#297), Olmo 3 32b Think: 67.2 (#198)
| Benchmark | Mixtral 8x7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1109 | 1275 |
| IFEval | 57.5% | — |
Long Context Olmo 3 32b Think leads
Mixtral 8x7B: 33.4 (#260), Olmo 3 32b Think: 39.4 (#182)
| Benchmark | Mixtral 8x7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1103 | 1296 |
Writing & Preference Olmo 3 32b Think leads
Mixtral 8x7B: 34.2 (#270), Olmo 3 32b Think: 49.1 (#193)
| Benchmark | Mixtral 8x7B | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1132 | 1300 |
| LMArena Creative Writing | 1109 | 1256 |
| LMArena Multi-Turn | 1115 | 1290 |
| WildBench | 67.3% | — |
Frequently asked questions
Is Mixtral 8x7B better than Olmo 3 32b Think?
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 27.1 on the Noometry Index.
Is Mixtral 8x7B or Olmo 3 32b Think better for coding?
Olmo 3 32b Think scores higher on coding benchmarks: 38.6 versus 32.8 in the Noometry coding category.
How many benchmarks do Mixtral 8x7B and Olmo 3 32b Think share?
14 benchmarks have published results for both models. Mixtral 8x7B has 38 scored results on Noometry and Olmo 3 32b Think has 14.