Model comparison
Mistral Large vs Olmo 3.1 32b Think
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 31.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
Mistral AI
Allen Institute for AI (Ai2)Summary
- They share 15 benchmarks with published results for both. Mistral Large scores higher in 2 categories and Olmo 3.1 32b Think in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Olmo 3.1 32b Think leads 36.3 to 18.2.
Side by side
| Mistral Large | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | Mistral AI | Allen Institute for AI (Ai2) |
| Noometry Index | 31.9 | 37.9 |
| Released | 2024-02-26 | — |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 51 | 15 |
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Category by category
Coding Olmo 3.1 32b Think leads
Mistral Large: 34.3 (#240), Olmo 3.1 32b Think: 37.7 (#189)
| Benchmark | Mistral Large | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1277 | 1291 |
| 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 3.1 32b Think: —
| Benchmark | Mistral Large | Olmo 3.1 32b Think |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Olmo 3.1 32b Think leads
Mistral Large: 15.8 (#310), Olmo 3.1 32b Think: 25.2 (#150)
| Benchmark | Mistral Large | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1257 | 1272 |
| 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 3.1 32b Think leads
Mistral Large: 18.2 (#291), Olmo 3.1 32b Think: 36.3 (#168)
| Benchmark | Mistral Large | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1262 | 1305 |
| 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 3.1 32b Think leads
Mistral Large: 30.1 (#230), Olmo 3.1 32b Think: 35.7 (#181)
| Benchmark | Mistral Large | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1232 | 1295 |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| MMLU | 80% | — |
Multilingual Mistral Large leads
Mistral Large: 40.0 (#219), Olmo 3.1 32b Think: 38.1 (#231)
| Benchmark | Mistral Large | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1237 | 1209 |
| LMArena Chinese | 1240 | 1242 |
| LMArena French | 1325 | 1260 |
| LMArena German | 1254 | 1262 |
| LMArena Russian | 1257 | 1193 |
| LMArena Spanish | 1268 | 1289 |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
Instruction Following Mistral Large leads
Mistral Large: 67.9 (#191), Olmo 3.1 32b Think: 65.6 (#218)
| Benchmark | Mistral Large | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1249 | 1247 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
Long Context Too close to call
Mistral Large: 38.3 (#199), Olmo 3.1 32b Think: 38.6 (#195)
| Benchmark | Mistral Large | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1261 | 1272 |
Writing & Preference Olmo 3.1 32b Think leads
Mistral Large: 40.7 (#242), Olmo 3.1 32b Think: 46.2 (#220)
| Benchmark | Mistral Large | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1266 | 1272 |
| LMArena Creative Writing | 1243 | 1226 |
| LMArena Multi-Turn | 1260 | 1252 |
| 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 3.1 32b Think?
Olmo 3.1 32b Think is the stronger model overall, scoring 37.9 to 31.9 on the Noometry Index.
Is Mistral Large or Olmo 3.1 32b Think better for coding?
Olmo 3.1 32b Think scores higher on coding benchmarks: 37.7 versus 34.3 in the Noometry coding category.
How many benchmarks do Mistral Large and Olmo 3.1 32b Think share?
15 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Olmo 3.1 32b Think has 15.