Model comparison
GPT-6 Luna vs Qwen3 Coder Next
GPT-6 Luna is the stronger model overall, scoring 45.1 to 33.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in coding, where GPT-6 Luna leads 54.7 to 35.8.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.12 / $0.80 for Qwen3 Coder Next.
- GPT-6 Luna accepts more context: 1.05M tokens versus 262K.
- Qwen3 Coder Next has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Luna | Qwen3 Coder Next | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 45.1 | 33.8 |
| Released | 2026-09-22 | 2026-02-02 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 66K |
| Input $ / M tokens | $0.10 | $0.12 |
| Output $ / M tokens | $0.50 | $0.80 |
| Results tracked | 18 | 3 |
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Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 54.7 (#24), Qwen3 Coder Next: 35.8 (#206)
| Benchmark | GPT-6 Luna | Qwen3 Coder Next |
|---|---|---|
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| LMArena Coding | 1448 | — |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 31.7 (#68), Qwen3 Coder Next: 21.7 (#191)
| Benchmark | GPT-6 Luna | Qwen3 Coder Next |
|---|---|---|
| NYT Connections (extended) | 68.7% | — |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1415 | — |
Math Not comparable
GPT-6 Luna: 35.6 (#140), Qwen3 Coder Next: —
| Benchmark | GPT-6 Luna | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1396 | — |
Knowledge Not comparable
GPT-6 Luna: 40.1 (#110), Qwen3 Coder Next: —
| Benchmark | GPT-6 Luna | Qwen3 Coder Next |
|---|---|---|
| LMArena Expert | 1458 | — |
Multimodal Not comparable
GPT-6 Luna: 42.0 (#27), Qwen3 Coder Next: —
| Benchmark | GPT-6 Luna | Qwen3 Coder Next |
|---|---|---|
| Furniture Assembly | 44.2% | — |
Multilingual Not comparable
GPT-6 Luna: 51.0 (#111), Qwen3 Coder Next: —
| Benchmark | GPT-6 Luna | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1390 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1392 | — |
| LMArena Spanish | 1416 | — |
Instruction Following Not comparable
GPT-6 Luna: 74.7 (#85), Qwen3 Coder Next: —
| Benchmark | GPT-6 Luna | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1414 | — |
Long Context Not comparable
GPT-6 Luna: 43.3 (#95), Qwen3 Coder Next: —
| Benchmark | GPT-6 Luna | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1417 | — |
Writing & Preference Not comparable
GPT-6 Luna: 58.4 (#115), Qwen3 Coder Next: —
| Benchmark | GPT-6 Luna | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1392 | — |
| LMArena Creative Writing | 1357 | — |
| LMArena Multi-Turn | 1400 | — |
Frequently asked questions
Is GPT-6 Luna better than Qwen3 Coder Next?
GPT-6 Luna is the stronger model overall, scoring 45.1 to 33.8 on the Noometry Index.
Which is cheaper, GPT-6 Luna or Qwen3 Coder Next?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen3 Coder Next lists at $0.12 and $0.80.
Is GPT-6 Luna or Qwen3 Coder Next better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 35.8 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6 Luna and Qwen3 Coder Next share?
0 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Qwen3 Coder Next has 3.