Model comparison
Claude Sonnet 4.5 vs Olmo 3.1 32b Instruct
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 39.4 on the Noometry Index.
Last verified . 16 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 16 benchmarks with published results for both. Claude Sonnet 4.5 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 writing & preference, where Claude Sonnet 4.5 leads 66.5 to 50.2.
- Olmo 3.1 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.5 | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 44.1 | 39.4 |
| Released | 2025-09-29 | — |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 73 | 16 |
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Category by category
Coding Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 47.3 (#61), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1489 | 1347 |
| SWE-bench Verified | 71.3% | — |
| SWE-bench Verified (bash only) | 71.4% | — |
| LMArena WebDev | 1393 | — |
| SWE-bench Multilingual | 67% | — |
| SciCode | 44.7% | — |
| GSO | 14.7% | — |
| WeirdML | 47.7% | — |
| ALE-Bench | 796.15 | — |
| AlgoTune | 1.52 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.5: 38.3 (#32), Olmo 3.1 32b Instruct: —
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| Terminal-Bench | 46.5% | — |
| Berkeley Function Calling Leaderboard | 73.2% | — |
| GDPval | 42.5% | — |
| Remote Labor Index | 2.1% | — |
| τ²-bench Airline | 72% | — |
| τ²-bench Banking | 25.3% | — |
| τ²-bench Retail | 72.4% | — |
| τ²-bench Telecom | 84.9% | — |
| Cybench | 60% | — |
| DeepResearch Bench | 52.6% | — |
| OSWorld | 62.9% | — |
| LMArena Search | 1159 | — |
| METR Time Horizons | 67.4% | — |
| Vending-Bench 2 | 3,839 | — |
Reasoning Too close to call
Claude Sonnet 4.5: 26.9 (#125), Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1462 | 1322 |
| ARC-AGI-2 | 13.6% | — |
| SimpleBench | 54.3% | — |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | 37.3% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 12% | — |
| EnigmaEval | 6% | — |
| EBR-Bench | 2.4% | — |
| Mystery Game Puzzles | 17% | — |
| DTBench | 83.2% | — |
| LMCA | 38.8% | — |
| Epoch Capabilities Index | 146.84 | — |
| ForecastBench | 61.9 | — |
Math Olmo 3.1 32b Instruct leads
Claude Sonnet 4.5: 32.3 (#216), Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1449 | 1305 |
| FrontierMath (Tiers 1-3) | 23.9% | — |
| FrontierMath Tier 4 | 2.4% | — |
| OTIS Mock AIME 2024-2025 | 77.8% | — |
| ProofBench | 19% | — |
| Omni-MATH | 55.3% | — |
| MATH Level 5 | 97.7% | — |
| FrontierMath (Feb 2025 set) | 15.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 48.4 (#76), Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1482 | 1308 |
| GPQA Diamond | 82.3% | — |
| Humanity's Last Exam | 13.7% | — |
| SimpleQA Verified | 30.7% | — |
| MMLU-Pro | 86.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 68.6% | — |
Multimodal Not comparable
Claude Sonnet 4.5: 34.8 (#89), Olmo 3.1 32b Instruct: —
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| VPCT | 39.8% | — |
| LMArena Document | 1450 | — |
Multilingual Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 53.4 (#69), Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1425 | 1275 |
| LMArena Chinese | 1459 | 1304 |
| LMArena French | 1458 | 1328 |
| LMArena German | 1427 | 1282 |
| LMArena Korean | 1403 | 1206 |
| LMArena Russian | 1437 | 1268 |
| LMArena Spanish | 1457 | 1336 |
| LMArena Japanese | 1390 | — |
Instruction Following Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 75.0 (#78), Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1459 | 1299 |
| IFEval | 85% | — |
Long Context Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 45.2 (#46), Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1476 | 1312 |
Writing & Preference Claude Sonnet 4.5 leads
Claude Sonnet 4.5: 66.5 (#34), Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | Claude Sonnet 4.5 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1439 | 1311 |
| LMArena Creative Writing | 1442 | 1264 |
| LMArena Multi-Turn | 1465 | 1309 |
| EQ-Bench Creative Writing | 1678 | — |
| WildBench | 85.4% | — |
Frequently asked questions
Is Claude Sonnet 4.5 better than Olmo 3.1 32b Instruct?
Claude Sonnet 4.5 is the stronger model overall, scoring 44.1 to 39.4 on the Noometry Index.
Is Claude Sonnet 4.5 or Olmo 3.1 32b Instruct better for coding?
Claude Sonnet 4.5 scores higher on coding benchmarks: 47.3 versus 39.5 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.5 and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. Claude Sonnet 4.5 has 73 scored results on Noometry and Olmo 3.1 32b Instruct has 16.