Model comparison
Mistral Large vs Olmo 3 32b Think
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 31.9 on the Noometry Index.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. Mistral Large scores higher in 1 category and Olmo 3 32b Think in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 3 32b Think leads 36.5 to 18.2.
Side by side
| Mistral Large | Olmo 3 32b Think | |
|---|---|---|
| Provider | Mistral AI | Allen Institute for AI (Ai2) |
| Noometry Index | 31.9 | 38.7 |
| Released | 2024-02-26 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 14 |
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Category by category
Coding Olmo 3 32b Think leads
Mistral Large: 34.3 (#240), Olmo 3 32b Think: 38.6 (#172)
| Benchmark | Mistral Large | Olmo 3 32b Think |
|---|---|---|
| LMArena Coding | 1277 | 1319 |
| SciCode | 36.2% | — |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| BigCodeBench Complete | 38.3% | — |
| ALE-Bench | 264.7 | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.6 (#89), Olmo 3 32b Think: —
| Benchmark | Mistral Large | Olmo 3 32b Think |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Olmo 3 32b Think leads
Mistral Large: 15.8 (#310), Olmo 3 32b Think: 25.9 (#140)
| Benchmark | Mistral Large | Olmo 3 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1302 |
| SimpleBench | 22.5% | — |
| CritPt | 0% | — |
| LiveBench Reasoning | 43.5% | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
Math Olmo 3 32b Think leads
Mistral Large: 18.2 (#291), Olmo 3 32b Think: 36.5 (#165)
| Benchmark | Mistral Large | Olmo 3 32b Think |
|---|---|---|
| LMArena Math | 1262 | 1316 |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Olmo 3 32b Think leads
Mistral Large: 30.1 (#230), Olmo 3 32b Think: 35.0 (#190)
| Benchmark | Mistral Large | Olmo 3 32b Think |
|---|---|---|
| LMArena Expert | 1232 | 1273 |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| MMLU | 80% | — |
Multilingual Olmo 3 32b Think leads
Mistral Large: 40.0 (#219), Olmo 3 32b Think: 41.2 (#210)
| Benchmark | Mistral Large | Olmo 3 32b Think |
|---|---|---|
| LMArena Non-English | 1237 | 1255 |
| LMArena Chinese | 1240 | 1300 |
| LMArena French | 1325 | 1291 |
| LMArena German | 1254 | 1290 |
| LMArena Russian | 1257 | 1254 |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
| LMArena Spanish | 1268 | — |
Instruction Following Too close to call
Mistral Large: 67.9 (#191), Olmo 3 32b Think: 67.2 (#198)
| Benchmark | Mistral Large | Olmo 3 32b Think |
|---|---|---|
| LMArena Instruction Following | 1249 | 1275 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
Long Context Olmo 3 32b Think leads
Mistral Large: 38.3 (#199), Olmo 3 32b Think: 39.4 (#182)
| Benchmark | Mistral Large | Olmo 3 32b Think |
|---|---|---|
| LMArena Longer Query | 1261 | 1296 |
Writing & Preference Olmo 3 32b Think leads
Mistral Large: 40.7 (#242), Olmo 3 32b Think: 49.1 (#193)
| Benchmark | Mistral Large | Olmo 3 32b Think |
|---|---|---|
| LMArena Text | 1266 | 1300 |
| LMArena Creative Writing | 1243 | 1256 |
| LMArena Multi-Turn | 1260 | 1290 |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Olmo 3 32b Think?
Olmo 3 32b Think is the stronger model overall, scoring 38.7 to 31.9 on the Noometry Index.
Is Mistral Large or Olmo 3 32b Think better for coding?
Olmo 3 32b Think scores higher on coding benchmarks: 38.6 versus 34.3 in the Noometry coding category.
How many benchmarks do Mistral Large and Olmo 3 32b Think share?
14 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Olmo 3 32b Think has 14.