Model comparison
Claude Sonnet 5.5 vs GPT-6 Luna
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 53.3 on the Noometry Index. GPT-6 Luna costs 20× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Last verified . 29 shared benchmarks.
Summary
- They share 29 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 10 categories and GPT-6 Luna in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 76.1.
- The biggest single-benchmark swing is Mystery Game Puzzles: 65% for Claude Sonnet 5.5 and 7% for GPT-6 Luna.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- GPT-6 Luna accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Sonnet 5.5 | GPT-6 Luna | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 61.9 | 53.3 |
| Released | 2026-09-28 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $2 | $0.10 |
| Output $ / M tokens | $10 | $0.50 |
| Results tracked | 32 | 42 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 67.3 (#6), GPT-6 Luna: 55.5 (#25)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| FrontierCode | 52.1% | 42.4% |
| LMArena WebDev | 1774 | 1581 |
| SciCode | 61% | 54.6% |
| LMArena Coding | 1513 | 1439 |
| ALE-Bench | 1,819 | 1,577 |
| DeepSWE | — | 66.6% |
| CursorBench | 55.5% | — |
| FrontierSWE | 61.9% | — |
Agentic & Tool Use Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.0 (#16), GPT-6 Luna: 33.3 (#54)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| APEX-Agents | 75.5% | 44.3% |
| GDP.pdf | — | 23% |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 54.0 (#28), GPT-6 Luna: 48.2 (#41)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| NYT Connections (extended) | 80.5% | 68.7% |
| CritPt | 31.4% | 19.4% |
| LMArena Hard Prompts | 1495 | 1411 |
| Mystery Game Puzzles | 65% | 7% |
| Epoch Capabilities Index | 165.03 | 156.28 |
| ARC-AGI-2 | — | 59.3% |
| ARC-AGI-1 | — | 86.7% |
| Chess Puzzles | — | 31% |
| DTBench | — | 90.1% |
| LMCA | — | 44.5% |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 87.9 (#6), GPT-6 Luna: 76.1 (#15)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| FrontierMath (Tiers 1-3) | 88.8% | 78.9% |
| FrontierMath Tier 4 | 80.5% | 56.1% |
| OTIS Mock AIME 2024-2025 | 100% | 98.9% |
| ProofBench | 100% | 64% |
| LMArena Math | 1510 | 1416 |
| FrontierMath Erdős | 2.9% | — |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#12), GPT-6 Luna: 57.0 (#41)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| GPQA Diamond | 95.6% | 90.5% |
| SimpleQA Verified | 46.5% | 41.4% |
| LMArena Expert | 1540 | 1444 |
Multimodal Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 51.5 (#6), GPT-6 Luna: 42.4 (#30)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| LMArena Vision | 1289 | 1217 |
| Furniture Assembly | 75% | 44.2% |
| Blueprint-Bench 2 | — | 31.2% |
Multilingual Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 55.3 (#30), GPT-6 Luna: 50.5 (#117)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| LMArena Non-English | 1452 | 1386 |
| LMArena Chinese | 1522 | 1433 |
| LMArena Russian | 1451 | 1394 |
| LMArena French | — | 1420 |
| LMArena German | — | 1369 |
| LMArena Japanese | — | 1369 |
| LMArena Korean | — | 1360 |
| LMArena Spanish | — | 1393 |
Instruction Following Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 78.3 (#11), GPT-6 Luna: 74.3 (#99)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| LMArena Instruction Following | 1495 | 1409 |
Long Context Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 45.9 (#28), GPT-6 Luna: 43.0 (#111)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| LMArena Longer Query | 1498 | 1409 |
Writing & Preference Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#40), GPT-6 Luna: 58.3 (#119)
| Benchmark | Claude Sonnet 5.5 | GPT-6 Luna |
|---|---|---|
| LMArena Text | 1471 | 1391 |
| LMArena Creative Writing | 1465 | 1363 |
| LMArena Multi-Turn | 1474 | 1396 |
Frequently asked questions
Is Claude Sonnet 5.5 better than GPT-6 Luna?
Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 53.3 on the Noometry Index. GPT-6 Luna costs 20× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 5.5 or GPT-6 Luna?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or GPT-6 Luna better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 55.5 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 5.5 and GPT-6 Luna share?
29 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and GPT-6 Luna has 42.