Model comparison
Claude Sonnet 4.6 vs Olmo 2 0325 32b Instruct
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 32.2 on the Noometry Index.
Last verified . 11 shared benchmarks.
Allen Institute for AI (Ai2)Summary
- They share 11 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 8 categories and Olmo 2 0325 32b Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Sonnet 4.6 leads 51.6 to 19.2.
- Olmo 2 0325 32b Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct | |
|---|---|---|
| Provider | Anthropic | Allen Institute for AI (Ai2) |
| Noometry Index | 50.1 | 32.2 |
| 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: 46.0 (#62), Olmo 2 0325 32b Instruct: 34.6 (#222)
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Coding | 1504 | 1210 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1521 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#26), Olmo 2 0325 32b Instruct: —
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 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 (#40), Olmo 2 0325 32b Instruct: 22.6 (#174)
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1485 | 1208 |
| 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 | 152.25 | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.9 (#41), Olmo 2 0325 32b Instruct: 24.8 (#255)
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Math | 1463 | 1208 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| Omni-MATH | — | 16.1% |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.6 (#60), Olmo 2 0325 32b Instruct: 19.2 (#274)
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct |
|---|---|---|
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| MMLU-Pro | — | 41.4% |
| Vectara Hallucination Rate | 10.6% | — |
| GPQA (HELM) | — | 28.7% |
| LMArena Expert | 1500 | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#61), Olmo 2 0325 32b Instruct: —
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.6 (#39), Olmo 2 0325 32b Instruct: 35.0 (#243)
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Non-English | 1440 | 1160 |
| LMArena Chinese | 1491 | 1192 |
| LMArena Russian | 1440 | 1187 |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1419 | — |
| LMArena Korean | 1411 | — |
| LMArena Spanish | 1465 | — |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.6 (#23), Olmo 2 0325 32b Instruct: 61.8 (#238)
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Instruction Following | 1476 | 1186 |
| IFEval | — | 78% |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#40), Olmo 2 0325 32b Instruct: 36.2 (#229)
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Longer Query | 1479 | 1194 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.4 (#22), Olmo 2 0325 32b Instruct: 42.3 (#231)
| Benchmark | Claude Sonnet 4.6 | Olmo 2 0325 32b Instruct |
|---|---|---|
| LMArena Text | 1458 | 1218 |
| LMArena Creative Writing | 1435 | 1199 |
| LMArena Multi-Turn | 1464 | 1221 |
| EQ-Bench Creative Writing | 1810 | — |
| WildBench | — | 73.4% |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than Olmo 2 0325 32b Instruct?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 32.2 on the Noometry Index.
Is Claude Sonnet 4.6 or Olmo 2 0325 32b Instruct better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 34.6 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.6 and Olmo 2 0325 32b Instruct share?
11 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Olmo 2 0325 32b Instruct has 16.