Model comparison
Claude Sonnet 4.6 vs o3-pro
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 42.9 on the Noometry Index.
Last verified . 7 shared benchmarks.
Summary
- They share 7 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 3 categories and o3-pro in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in long context, where o3-pro leads 72.2 to 45.3.
- The biggest single-benchmark swing is ARC-AGI-2: 60.4% for Claude Sonnet 4.6 and 4.9% for o3-pro.
- Claude Sonnet 4.6 is cheaper at $3 / $15 per million input/output tokens, against $20 / $80 for o3-pro.
- Claude Sonnet 4.6 accepts more context: 1M tokens versus 200K.
Side by side
| Claude Sonnet 4.6 | o3-pro | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.3 | 42.9 |
| Released | 2026-02-17 | 2025-06-10 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $3 | $20 |
| Output $ / M tokens | $15 | $80 |
| Results tracked | 57 | 12 |
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Category by category
Coding o3-pro leads
Claude Sonnet 4.6: 46.3 (#67), o3-pro: 55.5 (#24)
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| WeirdML | 66.1% | 58.2% |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| Aider Polyglot | — | 84.9% |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| LMArena Coding | 1504 | — |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#28), o3-pro: —
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| 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), o3-pro: 23.8 (#171)
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| ARC-AGI-2 | 60.4% | 4.9% |
| ARC-AGI-1 | 86.5% | 59.3% |
| DTBench | 89.9% | 86.9% |
| LMCA | 46.5% | 38.5% |
| Epoch Capabilities Index | 152.24 | 147.42 |
| Kagi LLM Benchmark | — | 72.1% |
| NYT Connections (extended) | 80.9% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| LMArena Hard Prompts | 1484 | — |
| Mystery Game Puzzles | 16% | — |
| ForecastBench | 62 | — |
Math Not comparable
Claude Sonnet 4.6: 52.9 (#49), o3-pro: —
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LMArena Math | 1462 | — |
| 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), o3-pro: 29.5 (#238)
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| Vectara Hallucination Rate | 10.6% | 23.3% |
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Confabulations | — | 14.2% |
| LMArena Expert | 1500 | — |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), o3-pro: —
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.4 (#41), o3-pro: —
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Not comparable
Claude Sonnet 4.6: 77.4 (#25), o3-pro: —
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| LMArena Instruction Following | 1475 | — |
Long Context o3-pro leads
Claude Sonnet 4.6: 45.3 (#44), o3-pro: 72.2 (#1)
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| Fiction.LiveBench | — | 97.2% |
| LMArena Longer Query | 1479 | — |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), o3-pro: 57.1 (#133)
| Benchmark | Claude Sonnet 4.6 | o3-pro |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1435 | — |
| Short-Story Creative Writing | — | 84.4% |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than o3-pro?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 42.9 on the Noometry Index.
Which is cheaper, Claude Sonnet 4.6 or o3-pro?
Claude Sonnet 4.6 is cheaper. It lists at $3 per million input tokens and $15 per million output tokens; o3-pro lists at $20 and $80.
Is Claude Sonnet 4.6 or o3-pro better for coding?
o3-pro scores higher on coding benchmarks: 55.5 versus 46.3 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 4.6 does, with 1M tokens against 200K.
How many benchmarks do Claude Sonnet 4.6 and o3-pro share?
7 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and o3-pro has 12.