Model comparison
Claude Opus 5.5 vs GPT-6 Sol
Claude Opus 5.5 is the stronger model overall, scoring 68.5 to 49.2 on the Noometry Index. GPT-6 Sol costs 2.0× less per token, which makes it the better buy when Claude Opus 5.5's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Claude Opus 5.5 scores higher in 10 categories and GPT-6 Sol in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Opus 5.5 leads 92.4 to 35.8.
- The biggest single-benchmark swing is Furniture Assembly: 83.3% for Claude Opus 5.5 and 58.3% for GPT-6 Sol.
- GPT-6 Sol is cheaper at $2 / $10 per million input/output tokens, against $4 / $20 for Claude Opus 5.5.
- GPT-6 Sol accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Opus 5.5 | GPT-6 Sol | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 68.5 | 49.2 |
| Released | 2026-09-22 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $4 | $2 |
| Output $ / M tokens | $20 | $10 |
| Results tracked | 35 | 22 |
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Category by category
Coding Claude Opus 5.5 leads
Claude Opus 5.5: 71.4 (#1), GPT-6 Sol: 59.6 (#11)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| FrontierCode | 54.4% | 49.3% |
| LMArena WebDev | 1820 | 1692 |
| LMArena Coding | 1545 | 1453 |
| DeepSWE | — | 68.8% |
| CursorBench | 57.8% | — |
| FrontierSWE | 62.3% | — |
| SciCode | 66.9% | — |
| MirrorCode | 77.4% | — |
Agentic & Tool Use Claude Opus 5.5 leads
Claude Opus 5.5: 45.3 (#13), GPT-6 Sol: 33.5 (#49)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| GDP.pdf | 30.6% | 28% |
| APEX-Agents | 73.5% | — |
Reasoning Claude Opus 5.5 leads
Claude Opus 5.5: 79.5 (#2), GPT-6 Sol: 49.3 (#34)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| NYT Connections (extended) | 88.5% | 90.1% |
| EBR-Bench | 71.4% | 53.3% |
| LMArena Hard Prompts | 1545 | 1420 |
| ARC-AGI-2 | 92.5% | — |
| ARC-AGI-1 | 97.5% | — |
| CritPt | 31.7% | — |
| Mystery Game Puzzles | 71% | — |
| DTBench | 98.9% | — |
| LMCA | 68.2% | — |
Math Claude Opus 5.5 leads
Claude Opus 5.5: 92.4 (#2), GPT-6 Sol: 35.8 (#135)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| FrontierMath (Tiers 1-3) | 91.2% | — |
| FrontierMath Tier 4 | 95% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 100% | — |
| LMArena Math | — | 1404 |
Knowledge Claude Opus 5.5 leads
Claude Opus 5.5: 66.6 (#9), GPT-6 Sol: 43.0 (#87)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| LMArena Expert | 1564 | 1449 |
| GPQA Diamond | 90.6% | — |
| SimpleQA Verified | 72.2% | — |
| Vectara Hallucination Rate | — | 6.5% |
Multimodal Claude Opus 5.5 leads
Claude Opus 5.5: 56.5 (#2), GPT-6 Sol: 47.6 (#9)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| Furniture Assembly | 83.3% | 58.3% |
Multilingual Claude Opus 5.5 leads
Claude Opus 5.5: 59.8 (#1), GPT-6 Sol: 51.0 (#113)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1513 | 1389 |
| LMArena Chinese | 1572 | 1416 |
| LMArena Russian | 1532 | 1407 |
| LMArena Spanish | — | 1377 |
Instruction Following Claude Opus 5.5 leads
Claude Opus 5.5: 80.1 (#2), GPT-6 Sol: 74.4 (#97)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1535 | 1406 |
Long Context Claude Opus 5.5 leads
Claude Opus 5.5: 47.3 (#18), GPT-6 Sol: 43.2 (#100)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1540 | 1415 |
Writing & Preference Claude Opus 5.5 leads
Claude Opus 5.5: 78.7 (#3), GPT-6 Sol: 72.3 (#15)
| Benchmark | Claude Opus 5.5 | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1518 | 1396 |
| LMArena Creative Writing | 1538 | 1392 |
| EQ-Bench Creative Writing | 2050 | 2125 |
| LMArena Multi-Turn | 1520 | 1405 |
Frequently asked questions
Is Claude Opus 5.5 better than GPT-6 Sol?
Claude Opus 5.5 is the stronger model overall, scoring 68.5 to 49.2 on the Noometry Index. GPT-6 Sol costs 2.0× less per token, which makes it the better buy when Claude Opus 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 5.5 or GPT-6 Sol?
GPT-6 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; Claude Opus 5.5 lists at $4 and $20.
Is Claude Opus 5.5 or GPT-6 Sol better for coding?
Claude Opus 5.5 scores higher on coding benchmarks: 71.4 versus 59.6 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 1M.
How many benchmarks do Claude Opus 5.5 and GPT-6 Sol share?
18 benchmarks have published results for both models. Claude Opus 5.5 has 35 scored results on Noometry and GPT-6 Sol has 22.