Model comparison
GPT-4.5 vs Olmo 3.1 32b Think
GPT-4.5 and Olmo 3.1 32b Think score almost the same on the Noometry Index (36.9 vs 37.3), so choose on price, context window or the category you care about most.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GPT-4.5 scores higher in 5 categories and Olmo 3.1 32b Think in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where GPT-4.5 leads 52.7 to 38.3.
- Olmo 3.1 32b Think has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Olmo 3.1 32b Think | |
|---|---|---|
| Provider | OpenAI | Allen Institute for AI (Ai2) |
| Noometry Index | 36.9 | 37.3 |
| Released | 2025-02-27 | — |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 42 | 15 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 41.8 (#102), Olmo 3.1 32b Think: 37.1 (#186)
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Coding | 1397 | 1292 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| LiveBench Coding | 75.2% | — |
Agentic & Tool Use Not comparable
GPT-4.5: 27.6 (#92), Olmo 3.1 32b Think: —
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| Cybench | 17.5% | — |
Reasoning Olmo 3.1 32b Think leads
GPT-4.5: 14.1 (#320), Olmo 3.1 32b Think: 24.1 (#151)
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Hard Prompts | 1404 | 1272 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| Epoch Capabilities Index | 136.74 | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Olmo 3.1 32b Think leads
GPT-4.5: 31.0 (#200), Olmo 3.1 32b Think: 33.6 (#170)
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Math | 1412 | 1305 |
| OTIS Mock AIME 2024-2025 | 37.8% | — |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge Olmo 3.1 32b Think leads
GPT-4.5: 32.4 (#205), Olmo 3.1 32b Think: 35.0 (#178)
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Expert | 1394 | 1294 |
| GPQA Diamond | 68.7% | — |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
Multimodal Not comparable
GPT-4.5: 37.0 (#68), Olmo 3.1 32b Think: —
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.7 (#78), Olmo 3.1 32b Think: 38.3 (#226)
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Non-English | 1413 | 1210 |
| LMArena Chinese | 1421 | 1241 |
| LMArena French | 1417 | 1262 |
| LMArena German | 1457 | 1260 |
| LMArena Russian | 1419 | 1193 |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1392 | — |
| LMArena Spanish | — | 1288 |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.8 (#129), Olmo 3.1 32b Think: 65.8 (#213)
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Instruction Following | 1404 | 1246 |
| LiveBench Instruction Following | 72.3% | — |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#150), Olmo 3.1 32b Think: 38.6 (#190)
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Longer Query | 1406 | 1272 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 57.1 (#129), Olmo 3.1 32b Think: 46.4 (#215)
| Benchmark | GPT-4.5 | Olmo 3.1 32b Think |
|---|---|---|
| LMArena Text | 1417 | 1271 |
| LMArena Creative Writing | 1394 | 1226 |
| LMArena Multi-Turn | 1444 | 1252 |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Olmo 3.1 32b Think?
GPT-4.5 and Olmo 3.1 32b Think score almost the same on the Noometry Index (36.9 vs 37.3), so choose on price, context window or the category you care about most.
Is GPT-4.5 or Olmo 3.1 32b Think better for coding?
GPT-4.5 scores higher on coding benchmarks: 41.8 versus 37.1 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Olmo 3.1 32b Think share?
14 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Olmo 3.1 32b Think has 15.