Model comparison
GPT-6 Luna vs Qwen3-4B
GPT-6 Luna is the stronger model overall, scoring 45.1 to 31.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where GPT-6 Luna leads 31.7 to 18.5.
- Qwen3-4B has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Luna | Qwen3-4B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.1 | 31.5 |
| Released | 2026-09-22 | 2025-04-29 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 18 | 6 |
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Category by category
Coding Not comparable
GPT-6 Luna: 54.7 (#24), Qwen3-4B: —
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| LMArena Coding | 1448 | — |
Agentic & Tool Use Not comparable
GPT-6 Luna: —, Qwen3-4B: 27.3 (#94)
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 35.7% |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 31.7 (#68), Qwen3-4B: 18.5 (#264)
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| NYT Connections (extended) | 68.7% | — |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1415 | — |
Math GPT-6 Luna leads
GPT-6 Luna: 35.6 (#140), Qwen3-4B: 28.5 (#228)
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| MathArena Final-Answer Competitions | — | 38.5% |
| OTIS Mock AIME 2024-2025 | — | 52.2% |
| LMArena Math | 1396 | — |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 40.1 (#110), Qwen3-4B: 33.0 (#198)
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| GPQA Diamond | — | 52.3% |
| Vectara Hallucination Rate | — | 5.7% |
| LMArena Expert | 1458 | — |
Multimodal Not comparable
GPT-6 Luna: 42.0 (#27), Qwen3-4B: —
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| Furniture Assembly | 44.2% | — |
Multilingual Not comparable
GPT-6 Luna: 51.0 (#111), Qwen3-4B: —
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| LMArena Non-English | 1390 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1416 | — |
Instruction Following Not comparable
GPT-6 Luna: 74.7 (#85), Qwen3-4B: —
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
GPT-6 Luna: 43.3 (#95), Qwen3-4B: —
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| LMArena Longer Query | 1417 | — |
Writing & Preference Not comparable
GPT-6 Luna: 58.4 (#115), Qwen3-4B: —
| Benchmark | GPT-6 Luna | Qwen3-4B |
|---|---|---|
| LMArena Text | 1392 | — |
| LMArena Creative Writing | 1357 | — |
| LMArena Multi-Turn | 1400 | — |
Frequently asked questions
Is GPT-6 Luna better than Qwen3-4B?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 31.5 on the Noometry Index.
How many benchmarks do GPT-6 Luna and Qwen3-4B share?
0 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Qwen3-4B has 6.