Model comparison
Claude Sonnet 4.6 vs Olmo 3.1 32b Instruct
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 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 4.6 scores higher in 8 categories and Olmo 3.1 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.6 leads 70.2 to 50.2.
- Olmo 3.1 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Olmo 3.1 32b Instruct | |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 50.3 | 39.4 |
| Released | 2026-02-17 | — |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 57 | 16 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), Olmo 3.1 32b Instruct: 39.5 (#157)
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Coding | 1504 | 1347 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#28), Olmo 3.1 32b Instruct: —
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#45), Olmo 3.1 32b Instruct: 26.4 (#132)
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1484 | 1322 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Epoch Capabilities Index | 152.24 | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Olmo 3.1 32b Instruct: 36.3 (#167)
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Math | 1462 | 1305 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.7 (#65), Olmo 3.1 32b Instruct: 36.1 (#175)
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Expert | 1500 | 1308 |
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Olmo 3.1 32b Instruct: —
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.4 (#41), Olmo 3.1 32b Instruct: 42.6 (#191)
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Non-English | 1440 | 1275 |
| LMArena Chinese | 1491 | 1304 |
| LMArena French | 1465 | 1328 |
| LMArena German | 1428 | 1282 |
| LMArena Korean | 1411 | 1206 |
| LMArena Russian | 1440 | 1268 |
| LMArena Spanish | 1464 | 1336 |
| LMArena Japanese | 1420 | — |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.4 (#25), Olmo 3.1 32b Instruct: 68.6 (#187)
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1475 | 1299 |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#44), Olmo 3.1 32b Instruct: 39.9 (#166)
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1479 | 1312 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Olmo 3.1 32b Instruct: 50.2 (#185)
| Benchmark | Claude Sonnet 4.6 | Olmo 3.1 32b Instruct |
|---|---|---|
| LMArena Text | 1458 | 1311 |
| LMArena Creative Writing | 1435 | 1264 |
| LMArena Multi-Turn | 1464 | 1309 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Olmo 3.1 32b Instruct?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 39.4 on the Noometry Index.
Is Claude Sonnet 4.6 or Olmo 3.1 32b Instruct better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 39.5 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.6 and Olmo 3.1 32b Instruct share?
16 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Olmo 3.1 32b Instruct has 16.