Model comparison
Mixtral 8x22B 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 8x22B 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 15.1.
Side by side
| Mixtral 8x22B | Olmo 3 32b Think | |
|---|---|---|
| Provider | Mistral AI | Allen Institute for AI (Ai2) |
| Noometry Index | 27.1 | 38.7 |
| Released | 2024-04-17 | — |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 64K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 34 | 14 |
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Category by category
Coding Olmo 3 32b Think leads
Mixtral 8x22B: 24.2 (#329), Olmo 3 32b Think: 38.6 (#172)
| Benchmark | Mixtral 8x22B | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1166 | 1319 |
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |
Agentic & Tool Use Not comparable
Mixtral 8x22B: 23.1 (#127), Olmo 3 32b Think: —
| Benchmark | Mixtral 8x22B | Olmo 3 32b Think |
|---|---|---|
| Cybench | 7.5% | — |
Reasoning Olmo 3 32b Think leads
Mixtral 8x22B: 19.9 (#248), Olmo 3 32b Think: 25.9 (#140)
| Benchmark | Mixtral 8x22B | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1150 | 1302 |
| DTBench | 55.1% | — |
| Epoch Capabilities Index | 122.03 | — |
| ForecastBench | 56.3 | — |
Math Olmo 3 32b Think leads
Mixtral 8x22B: 22.9 (#275), Olmo 3 32b Think: 36.5 (#165)
| Benchmark | Mixtral 8x22B | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1184 | 1316 |
| Omni-MATH | 16.3% | — |
| MATH Level 5 | 24.2% | — |
Knowledge Olmo 3 32b Think leads
Mixtral 8x22B: 15.1 (#293), Olmo 3 32b Think: 35.0 (#190)
| Benchmark | Mixtral 8x22B | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1113 | 1273 |
| GPQA Diamond | 34.1% | — |
| MMLU-Pro | 46% | — |
| GPQA (HELM) | 33.4% | — |
| MMLU | 77.8% | — |
Multilingual Olmo 3 32b Think leads
Mixtral 8x22B: 32.8 (#255), Olmo 3 32b Think: 41.2 (#210)
| Benchmark | Mixtral 8x22B | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1128 | 1255 |
| LMArena Chinese | 1116 | 1300 |
| LMArena French | 1166 | 1291 |
| LMArena German | 1141 | 1290 |
| LMArena Russian | 1158 | 1254 |
| LMArena Japanese | 1037 | — |
| LMArena Korean | 1057 | — |
| LMArena Spanish | 1151 | — |
Instruction Following Olmo 3 32b Think leads
Mixtral 8x22B: 57.7 (#266), Olmo 3 32b Think: 67.2 (#198)
| Benchmark | Mixtral 8x22B | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1147 | 1275 |
| IFEval | 72.4% | — |
Long Context Olmo 3 32b Think leads
Mixtral 8x22B: 34.7 (#247), Olmo 3 32b Think: 39.4 (#182)
| Benchmark | Mixtral 8x22B | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1144 | 1296 |
Writing & Preference Olmo 3 32b Think leads
Mixtral 8x22B: 36.9 (#262), Olmo 3 32b Think: 49.1 (#193)
| Benchmark | Mixtral 8x22B | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1162 | 1300 |
| LMArena Creative Writing | 1141 | 1256 |
| LMArena Multi-Turn | 1130 | 1290 |
| WildBench | 71.1% | — |
Frequently asked questions
Is Mixtral 8x22B 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 8x22B or Olmo 3 32b Think better for coding?
Olmo 3 32b Think scores higher on coding benchmarks: 38.6 versus 24.2 in the Noometry coding category.
How many benchmarks do Mixtral 8x22B and Olmo 3 32b Think share?
14 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Olmo 3 32b Think has 14.