Model comparison
o4-mini vs Olmo 3.1 32b Instruct
o4-mini is the stronger model overall, scoring 41.6 to 38.8 on the Noometry Index.
Last verified . 16 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. o4-mini scores higher in 7 categories and Olmo 3.1 32b Instruct in 1 category; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where o4-mini leads 43.5 to 35.4.
- Olmo 3.1 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| o4-mini | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 41.6 | 38.8 |
| Released | 2025-04-16 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 100K | — |
| Input $ / M tokens | $1.10 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 60 | 16 |
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Category by category
Coding o4-mini leads
o4-mini: 41.6 (#110), Olmo 3.1 32b Instruct: 38.9 (#154)
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1369 | 1346 |
| SWE-bench Verified (bash only) | 45% | — |
| Aider Polyglot | 72% | — |
| GSO | 3.6% | — |
| WeirdML | 52.6% | — |
| CadEval | 62% | — |
| ALE-Bench | 826.17 | — |
| AlgoTune | 1.72 | — |
Agentic & Tool Use Not comparable
o4-mini: 32.3 (#57), Olmo 3.1 32b Instruct: —
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 53.2% | — |
| GDPval | 25.3% | — |
| METR Time Horizons | 63.9% | — |
Reasoning Too close to call
o4-mini: 24.6 (#143), Olmo 3.1 32b Instruct: 25.4 (#131)
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1351 | 1322 |
| ARC-AGI-2 | 6.1% | — |
| SimpleBench | 38.7% | — |
| Kagi LLM Benchmark | 67.6% | — |
| ARC-AGI-1 | 58.7% | — |
| CritPt | 0.6% | — |
| Chess Puzzles | 26% | — |
| EnigmaEval | 9.2% | — |
| Mystery Game Puzzles | 5% | — |
| DTBench | 77.6% | — |
| LMCA | 26.5% | — |
| Epoch Capabilities Index | 145.63 | — |
| ForecastBench | 61.8 | — |
Math o4-mini leads
o4-mini: 40.2 (#79), Olmo 3.1 32b Instruct: 33.6 (#169)
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1390 | 1305 |
| FrontierMath (Tiers 1-3) | 36.1% | — |
| FrontierMath Tier 4 | 4.9% | — |
| OTIS Mock AIME 2024-2025 | 81.7% | — |
| Omni-MATH | 72% | — |
| MATH Level 5 | 97.8% | — |
| FrontierMath (Feb 2025 set) | 24.8% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge o4-mini leads
o4-mini: 43.5 (#83), Olmo 3.1 32b Instruct: 35.4 (#175)
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1344 | 1307 |
| GPQA Diamond | 79.6% | — |
| Humanity's Last Exam | 18.1% | — |
| SimpleQA Verified | 19.6% | — |
| MMLU-Pro | 82% | — |
| Confabulations | 15.8% | — |
| Vectara Hallucination Rate | 18.6% | — |
| GPQA (HELM) | 73.5% | — |
Multimodal Not comparable
o4-mini: 39.5 (#46), Olmo 3.1 32b Instruct: —
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Vision | 1194 | — |
| GeoBench | 64% | — |
| VPCT | 57.5% | — |
Multilingual o4-mini leads
o4-mini: 47.2 (#149), Olmo 3.1 32b Instruct: 42.8 (#185)
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1336 | 1275 |
| LMArena Chinese | 1355 | 1304 |
| LMArena French | 1362 | 1328 |
| LMArena German | 1336 | 1283 |
| LMArena Korean | 1313 | 1206 |
| LMArena Russian | 1334 | 1268 |
| LMArena Spanish | 1346 | 1337 |
| LMArena Japanese | 1308 | — |
Instruction Following o4-mini leads
o4-mini: 75.4 (#63), Olmo 3.1 32b Instruct: 68.8 (#182)
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1321 | 1298 |
| IFEval | 92.8% | — |
Long Context o4-mini leads
o4-mini: 45.5 (#31), Olmo 3.1 32b Instruct: 39.9 (#161)
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1315 | 1312 |
| Fiction.LiveBench | 77.8% | — |
Writing & Preference o4-mini leads
o4-mini: 54.2 (#148), Olmo 3.1 32b Instruct: 50.4 (#179)
| Benchmark | o4-mini | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1353 | 1311 |
| LMArena Creative Writing | 1294 | 1264 |
| LMArena Multi-Turn | 1350 | 1309 |
| Short-Story Creative Writing | 75% | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is o4-mini better than Olmo 3.1 32b Instruct?
o4-mini is the stronger model overall, scoring 41.6 to 38.8 on the Noometry Index.
Is o4-mini or Olmo 3.1 32b Instruct better for coding?
o4-mini scores higher on coding benchmarks: 41.6 versus 38.9 in the Noometry coding category.
How many benchmarks do o4-mini and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. o4-mini has 60 scored results on Noometry and Olmo 3.1 32b Instruct has 16.