Model comparison
Claude Opus 5.5 vs GPT-5.5 Pro
Claude Opus 5.5 is the stronger model overall, scoring 68.6 to 64.3 on the Noometry Index.
Last verified . 10 shared benchmarks.
Summary
- They share 10 benchmarks with published results for both. Claude Opus 5.5 scores higher in 3 categories and GPT-5.5 Pro in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 5.5 leads 91.8 to 84.0.
- The biggest single-benchmark swing is FrontierMath Tier 4: 95% for Claude Opus 5.5 and 78% for GPT-5.5 Pro.
- Claude Opus 5.5 is cheaper at $4 / $20 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Opus 5.5 | GPT-5.5 Pro | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 68.6 | 64.3 |
| Released | 2026-09-22 | 2026-04-23 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $4 | $30 |
| Output $ / M tokens | $20 | $180 |
| Results tracked | 44 | 14 |
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Category by category
Coding Not comparable
Claude Opus 5.5: 71.9 (#3), GPT-5.5 Pro: —
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| FrontierCode | 54.6% | — |
| CursorBench | 57.8% | — |
| LMArena WebDev | 1813 | — |
| FrontierSWE | 62.3% | — |
| SciCode | 66.9% | — |
| LMArena Coding | 1547 | — |
| MirrorCode | 77.4% | — |
| ALE-Bench | 2,147 | — |
Agentic & Tool Use Not comparable
Claude Opus 5.5: 45.3 (#15), GPT-5.5 Pro: —
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| APEX-Agents | 73.5% | — |
| GDP.pdf | 30.6% | — |
| Vending-Bench 2 | 9,235 | — |
Reasoning Claude Opus 5.5 leads
Claude Opus 5.5: 80.2 (#3), GPT-5.5 Pro: 73.3 (#10)
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| ARC-AGI-2 | 93.3% | 84.6% |
| ARC-AGI-1 | 98.5% | 96.5% |
| CritPt | 31.7% | 30.6% |
| DTBench | 98.9% | 96% |
| LMCA | 68.2% | 53.9% |
| Epoch Capabilities Index | 167.33 | 162.07 |
| SimpleBench | — | 76.9% |
| NYT Connections (extended) | 88.5% | — |
| Chess Puzzles | — | 64% |
| EBR-Bench | 71.4% | — |
| LMArena Hard Prompts | 1535 | — |
| Mystery Game Puzzles | 71% | — |
Math Claude Opus 5.5 leads
Claude Opus 5.5: 91.8 (#3), GPT-5.5 Pro: 84.0 (#10)
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| FrontierMath (Tiers 1-3) | 91.2% | 87.7% |
| FrontierMath Tier 4 | 95% | 78% |
| OTIS Mock AIME 2024-2025 | 100% | 100% |
| ProofBench | 100% | — |
| LMArena Math | 1506 | — |
| FrontierMath (Feb 2025 set) | — | 52.4% |
| FrontierMath Erdős | 2.9% | — |
| FrontierMath Tier 4 (v1) | — | 39.6% |
Knowledge Claude Opus 5.5 leads
Claude Opus 5.5: 66.4 (#10), GPT-5.5 Pro: 64.1 (#19)
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| GPQA Diamond | 90.6% | 93.9% |
| SimpleQA Verified | 72.2% | — |
| LMArena Expert | 1547 | — |
Multimodal Not comparable
Claude Opus 5.5: 57.8 (#1), GPT-5.5 Pro: —
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| LMArena Vision | 1321 | — |
| Blueprint-Bench 2 | 51.2% | — |
| Furniture Assembly | 83.3% | — |
Multilingual Not comparable
Claude Opus 5.5: 59.1 (#2), GPT-5.5 Pro: —
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| LMArena Non-English | 1507 | — |
| LMArena Chinese | 1588 | — |
| LMArena French | 1514 | — |
| LMArena Russian | 1520 | — |
| LMArena Spanish | 1507 | — |
Instruction Following Not comparable
Claude Opus 5.5: 80.0 (#3), GPT-5.5 Pro: —
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| LMArena Instruction Following | 1537 | — |
Long Context Not comparable
Claude Opus 5.5: 47.1 (#19), GPT-5.5 Pro: —
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| LMArena Longer Query | 1532 | — |
Writing & Preference Not comparable
Claude Opus 5.5: 78.2 (#3), GPT-5.5 Pro: —
| Benchmark | Claude Opus 5.5 | GPT-5.5 Pro |
|---|---|---|
| LMArena Text | 1515 | — |
| LMArena Creative Writing | 1533 | — |
| EQ-Bench Creative Writing | 2050 | — |
| LMArena Multi-Turn | 1499 | — |
Frequently asked questions
Is Claude Opus 5.5 better than GPT-5.5 Pro?
Claude Opus 5.5 is the stronger model overall, scoring 68.6 to 64.3 on the Noometry Index.
Which is cheaper, Claude Opus 5.5 or GPT-5.5 Pro?
Claude Opus 5.5 is cheaper. It lists at $4 per million input tokens and $20 per million output tokens; GPT-5.5 Pro lists at $30 and $180.
Which has the bigger context window?
GPT-5.5 Pro does, with 1.05M tokens against 1M.
How many benchmarks do Claude Opus 5.5 and GPT-5.5 Pro share?
10 benchmarks have published results for both models. Claude Opus 5.5 has 44 scored results on Noometry and GPT-5.5 Pro has 14.