Model comparison
GPT-6 Luna vs Qwen3-30B-A3B
GPT-6 Luna is the stronger model overall, scoring 53.3 to 38.9 on the Noometry Index.
Last verified . 25 shared benchmarks.
Summary
- They share 25 benchmarks with published results for both. GPT-6 Luna scores higher in 9 categories and Qwen3-30B-A3B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 37.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for GPT-6 Luna and 70.3% for Qwen3-30B-A3B.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.12 / $0.50 for Qwen3-30B-A3B.
- GPT-6 Luna accepts more context: 1.05M tokens versus 41K.
- Qwen3-30B-A3B has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Luna | Qwen3-30B-A3B | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 53.3 | 38.9 |
| Released | 2026-09-22 | 2025-04-28 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 41K |
| Max output | 128K | 16K |
| Input $ / M tokens | $0.10 | $0.12 |
| Output $ / M tokens | $0.50 | $0.50 |
| Results tracked | 42 | 32 |
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Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 55.5 (#25), Qwen3-30B-A3B: 37.5 (#194)
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| SciCode | 54.6% | 33.3% |
| LMArena Coding | 1439 | 1416 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1581 | — |
| WeirdML | — | 29.8% |
| ALE-Bench | 1,577 | — |
Agentic & Tool Use GPT-6 Luna leads
GPT-6 Luna: 33.3 (#54), Qwen3-30B-A3B: 29.8 (#82)
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| APEX-Agents | 44.3% | — |
| Berkeley Function Calling Leaderboard | — | 41.4% |
| GDP.pdf | 23% | — |
Reasoning GPT-6 Luna leads
GPT-6 Luna: 48.2 (#41), Qwen3-30B-A3B: 22.2 (#204)
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| CritPt | 19.4% | 0.3% |
| Chess Puzzles | 31% | 8% |
| LMArena Hard Prompts | 1411 | 1398 |
| DTBench | 90.1% | 69.3% |
| LMCA | 44.5% | 22.4% |
| Epoch Capabilities Index | 156.28 | 139.63 |
| ARC-AGI-2 | 59.3% | — |
| Kagi LLM Benchmark | — | 54.9% |
| NYT Connections (extended) | 68.7% | — |
| ARC-AGI-1 | 86.7% | — |
| Mystery Game Puzzles | 7% | — |
Math GPT-6 Luna leads
GPT-6 Luna: 76.1 (#15), Qwen3-30B-A3B: 37.4 (#157)
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 70.3% |
| LMArena Math | 1416 | 1394 |
| FrontierMath (Tiers 1-3) | 78.9% | — |
| FrontierMath Tier 4 | 56.1% | — |
| MathArena Final-Answer Competitions | — | 47.8% |
| ProofBench | 64% | — |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 57.0 (#41), Qwen3-30B-A3B: 41.8 (#105)
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| GPQA Diamond | 90.5% | 70.1% |
| LMArena Expert | 1444 | 1396 |
| SimpleQA Verified | 41.4% | — |
| Confabulations | — | 12.3% |
Multimodal Not comparable
GPT-6 Luna: 42.4 (#30), Qwen3-30B-A3B: —
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| LMArena Vision | 1217 | — |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 44.2% | — |
Multilingual GPT-6 Luna leads
GPT-6 Luna: 50.5 (#117), Qwen3-30B-A3B: 49.5 (#132)
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| LMArena Non-English | 1386 | 1372 |
| LMArena Chinese | 1433 | 1433 |
| LMArena French | 1420 | 1418 |
| LMArena German | 1369 | 1380 |
| LMArena Japanese | 1369 | 1337 |
| LMArena Korean | 1360 | 1331 |
| LMArena Russian | 1394 | 1370 |
| LMArena Spanish | 1393 | 1404 |
Instruction Following GPT-6 Luna leads
GPT-6 Luna: 74.3 (#99), Qwen3-30B-A3B: 72.0 (#142)
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| LMArena Instruction Following | 1409 | 1363 |
Long Context GPT-6 Luna leads
GPT-6 Luna: 43.0 (#111), Qwen3-30B-A3B: 31.0 (#283)
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| LMArena Longer Query | 1409 | 1379 |
| Fiction.LiveBench | — | 40.6% |
Writing & Preference GPT-6 Luna leads
GPT-6 Luna: 58.3 (#119), Qwen3-30B-A3B: 55.6 (#143)
| Benchmark | GPT-6 Luna | Qwen3-30B-A3B |
|---|---|---|
| LMArena Text | 1391 | 1384 |
| LMArena Creative Writing | 1363 | 1317 |
| LMArena Multi-Turn | 1396 | 1378 |
| Short-Story Creative Writing | — | 75.3% |
Frequently asked questions
Is GPT-6 Luna better than Qwen3-30B-A3B?
GPT-6 Luna is the stronger model overall, scoring 53.3 to 38.9 on the Noometry Index.
Which is cheaper, GPT-6 Luna or Qwen3-30B-A3B?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Qwen3-30B-A3B lists at $0.12 and $0.50.
Is GPT-6 Luna or Qwen3-30B-A3B better for coding?
GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 37.5 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 41K.
How many benchmarks do GPT-6 Luna and Qwen3-30B-A3B share?
25 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Qwen3-30B-A3B has 32.