Model comparison
Claude 2.1 vs GPT-6 Sol
GPT-6 Sol is the stronger model overall, scoring 49.2 to 24.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-6 Sol leads 59.6 to 25.8.
Side by side
| Claude 2.1 | GPT-6 Sol | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 24.9 | 49.2 |
| Released | 2023-11-21 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $10 |
| Results tracked | 7 | 22 |
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Category by category
Coding GPT-6 Sol leads
Claude 2.1: 25.8 (#322), GPT-6 Sol: 59.6 (#11)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| DeepSWE | — | 68.8% |
| FrontierCode | — | 49.3% |
| LMArena WebDev | — | 1692 |
| WeirdML | 7.1% | — |
| LMArena Coding | — | 1453 |
Agentic & Tool Use Not comparable
Claude 2.1: —, GPT-6 Sol: 33.5 (#49)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| GDP.pdf | — | 28% |
Reasoning GPT-6 Sol leads
Claude 2.1: 20.6 (#216), GPT-6 Sol: 49.3 (#34)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| NYT Connections (extended) | — | 90.1% |
| EBR-Bench | — | 53.3% |
| LMArena Hard Prompts | — | 1420 |
| DTBench | 51% | — |
| Epoch Capabilities Index | 119.22 | — |
| ForecastBench | 54.2 | — |
Math GPT-6 Sol leads
Claude 2.1: 9.6 (#309), GPT-6 Sol: 35.8 (#135)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.9% | — |
| LMArena Math | — | 1404 |
Knowledge GPT-6 Sol leads
Claude 2.1: 15.5 (#287), GPT-6 Sol: 43.0 (#87)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| GPQA Diamond | 33% | — |
| Vectara Hallucination Rate | — | 6.5% |
| LMArena Expert | — | 1449 |
| MMLU | 73.5% | — |
Multimodal Not comparable
Claude 2.1: —, GPT-6 Sol: 47.6 (#9)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| Furniture Assembly | — | 58.3% |
Multilingual Not comparable
Claude 2.1: —, GPT-6 Sol: 51.0 (#113)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | — | 1389 |
| LMArena Chinese | — | 1416 |
| LMArena Russian | — | 1407 |
| LMArena Spanish | — | 1377 |
Instruction Following Not comparable
Claude 2.1: —, GPT-6 Sol: 74.4 (#97)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | — | 1406 |
Long Context Not comparable
Claude 2.1: —, GPT-6 Sol: 43.2 (#100)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | — | 1415 |
Writing & Preference Not comparable
Claude 2.1: —, GPT-6 Sol: 72.3 (#15)
| Benchmark | Claude 2.1 | GPT-6 Sol |
|---|---|---|
| LMArena Text | — | 1396 |
| LMArena Creative Writing | — | 1392 |
| EQ-Bench Creative Writing | — | 2125 |
| LMArena Multi-Turn | — | 1405 |
Frequently asked questions
Is Claude 2.1 better than GPT-6 Sol?
GPT-6 Sol is the stronger model overall, scoring 49.2 to 24.9 on the Noometry Index.
Is Claude 2.1 or GPT-6 Sol better for coding?
GPT-6 Sol scores higher on coding benchmarks: 59.6 versus 25.8 in the Noometry coding category.
How many benchmarks do Claude 2.1 and GPT-6 Sol share?
0 benchmarks have published results for both models. Claude 2.1 has 7 scored results on Noometry and GPT-6 Sol has 22.