Model comparison
GPT-6 Luna vs Qwen2.5-Max
GPT-6 Luna is the stronger model overall, scoring 53.3 to 40.7 on the Noometry Index.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GPT-6 Luna scores higher in 8 categories and Qwen2.5-Max in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 36.9.
Side by side
| GPT-6 Luna | Qwen2.5-Max | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 53.3 | 40.7 |
| Released | 2026-09-22 | 2025-01-25 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 42 | 27 |
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Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 55.5 (#25), Qwen2.5-Max: 41.8 (#117)
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| LMArena Coding | 1439 | 1359 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1581 | — |
| SciCode | 54.6% | — |
| LiveBench Coding | — | 64.4% |
| ALE-Bench | 1,577 | — |
Agentic & Tool Use Not comparable
GPT-6 Luna: 33.3 (#54), Qwen2.5-Max: —
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| APEX-Agents | 44.3% | — |
| GDP.pdf | 23% | — |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 48.2 (#41), Qwen2.5-Max: 25.6 (#147)
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| LMArena Hard Prompts | 1411 | 1360 |
| Epoch Capabilities Index | 156.28 | 132.53 |
| ARC-AGI-2 | 59.3% | — |
| NYT Connections (extended) | 68.7% | — |
| ARC-AGI-1 | 86.7% | — |
| CritPt | 19.4% | — |
| Chess Puzzles | 31% | — |
| LiveBench Reasoning | — | 51.4% |
| Mystery Game Puzzles | 7% | — |
| DTBench | 90.1% | — |
| LiveBench Data Analysis | — | 67.9% |
| LMCA | 44.5% | — |
| LiveBench | — | 62.3% |
Math GPT-6 Luna leads
GPT-6 Luna: 76.1 (#15), Qwen2.5-Max: 36.9 (#162)
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| LMArena Math | 1416 | 1369 |
| FrontierMath (Tiers 1-3) | 78.9% | — |
| FrontierMath Tier 4 | 56.1% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| ProofBench | 64% | — |
| LiveBench Math | — | 58.4% |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 57.0 (#41), Qwen2.5-Max: 35.3 (#186)
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| LMArena Expert | 1444 | 1337 |
| GPQA Diamond | 90.5% | — |
| SimpleQA Verified | 41.4% | — |
| Confabulations | — | 21.8% |
Multimodal Not comparable
GPT-6 Luna: 42.4 (#30), Qwen2.5-Max: —
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| LMArena Vision | 1217 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 44.2% | — |
Multilingual GPT-6 Luna leads
GPT-6 Luna: 50.5 (#117), Qwen2.5-Max: 48.1 (#146)
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| LMArena Non-English | 1386 | 1352 |
| LMArena Chinese | 1433 | 1382 |
| LMArena French | 1420 | 1396 |
| LMArena German | 1369 | 1350 |
| LMArena Japanese | 1369 | 1300 |
| LMArena Korean | 1360 | 1304 |
| LMArena Russian | 1394 | 1353 |
| LMArena Spanish | 1393 | 1377 |
Instruction Following GPT-6 Luna leads
GPT-6 Luna: 74.3 (#99), Qwen2.5-Max: 71.3 (#152)
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| LMArena Instruction Following | 1409 | 1335 |
| LiveBench Instruction Following | — | 75.3% |
Long Context GPT-6 Luna leads
GPT-6 Luna: 43.0 (#111), Qwen2.5-Max: 41.4 (#142)
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| LMArena Longer Query | 1409 | 1358 |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.3 (#119), Qwen2.5-Max: 55.4 (#146)
| Benchmark | GPT-6 Luna | Qwen2.5-Max |
|---|---|---|
| LMArena Text | 1391 | 1367 |
| LMArena Creative Writing | 1363 | 1339 |
| LMArena Multi-Turn | 1396 | 1364 |
| Short-Story Creative Writing | — | 72.9% |
| LiveBench Language | — | 56.3% |
Frequently asked questions
Is GPT-6 Luna better than Qwen2.5-Max?
GPT-6 Luna is the stronger model overall, scoring 53.3 to 40.7 on the Noometry Index.
Is GPT-6 Luna or Qwen2.5-Max better for coding?
GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 41.8 in the Noometry coding category.
How many benchmarks do GPT-6 Luna and Qwen2.5-Max share?
18 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen2.5-Max has 27.