Model comparison
GPT-6 Luna vs Muse Spark 1.2
GPT-6 Luna is the stronger model overall, scoring 53.3 to 50.3 on the Noometry Index.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. GPT-6 Luna scores higher in 4 categories and Muse Spark 1.2 in 6 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Luna leads 76.1 to 46.4.
- The biggest single-benchmark swing is ProofBench: 64% for GPT-6 Luna and 43% for Muse Spark 1.2.
- GPT-6 Luna is cheaper at $0.10 / $0.50 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.2.
- GPT-6 Luna accepts more context: 1.05M tokens versus 1.05M.
Side by side
| GPT-6 Luna | Muse Spark 1.2 | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 53.3 | 50.3 |
| Released | 2026-09-22 | 2026-08-05 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $0.10 | $1.25 |
| Output $ / M tokens | $0.50 | $4.25 |
| Results tracked | 42 | 31 |
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Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 55.5 (#25), Muse Spark 1.2: 49.2 (#51)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| DeepSWE | 66.6% | 54.9% |
| LMArena WebDev | 1581 | 1533 |
| SciCode | 54.6% | 56.4% |
| LMArena Coding | 1439 | 1495 |
| FrontierCode | 42.4% | — |
| FrontierSWE | — | 12% |
| WeirdML | — | 60.3% |
| ALE-Bench | 1,577 | — |
Agentic & Tool Use GPT-6 Luna leads
GPT-6 Luna: 33.3 (#54), Muse Spark 1.2: 29.4 (#87)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| APEX-Agents | 44.3% | 36.4% |
| GDP.pdf | 23% | 16% |
Reasoning Muse Spark 1.2 leads
GPT-6 Luna: 48.2 (#41), Muse Spark 1.2: 51.3 (#34)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| NYT Connections (extended) | 68.7% | 79.2% |
| CritPt | 19.4% | 17.7% |
| LMArena Hard Prompts | 1411 | 1486 |
| DTBench | 90.1% | 94.7% |
| LMCA | 44.5% | 48.4% |
| Epoch Capabilities Index | 156.28 | 154.87 |
| ARC-AGI-2 | 59.3% | — |
| SimpleBench | — | 74.5% |
| ARC-AGI-1 | 86.7% | — |
| Chess Puzzles | 31% | — |
| Mystery Game Puzzles | 7% | — |
Math GPT-6 Luna leads
GPT-6 Luna: 76.1 (#15), Muse Spark 1.2: 46.4 (#70)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| ProofBench | 64% | 43% |
| LMArena Math | 1416 | 1471 |
| FrontierMath (Tiers 1-3) | 78.9% | — |
| FrontierMath Tier 4 | 56.1% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
Knowledge GPT-6 Luna leads
GPT-6 Luna: 57.0 (#41), Muse Spark 1.2: 54.1 (#53)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| SimpleQA Verified | 41.4% | 60.3% |
| LMArena Expert | 1444 | 1480 |
| GPQA Diamond | 90.5% | — |
Multimodal Too close to call
GPT-6 Luna: 42.4 (#30), Muse Spark 1.2: 43.4 (#25)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| LMArena Vision | 1217 | 1305 |
| Blueprint-Bench 2 | 31.2% | — |
| Furniture Assembly | 44.2% | — |
Multilingual Muse Spark 1.2 leads
GPT-6 Luna: 50.5 (#117), Muse Spark 1.2: 57.1 (#11)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| LMArena Non-English | 1386 | 1478 |
| LMArena Chinese | 1433 | 1511 |
| LMArena French | 1420 | 1513 |
| LMArena Russian | 1394 | 1487 |
| LMArena Spanish | 1393 | 1498 |
| LMArena German | 1369 | — |
| LMArena Japanese | 1369 | — |
| LMArena Korean | 1360 | — |
Instruction Following Muse Spark 1.2 leads
GPT-6 Luna: 74.3 (#99), Muse Spark 1.2: 76.7 (#36)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| LMArena Instruction Following | 1409 | 1461 |
Long Context Muse Spark 1.2 leads
GPT-6 Luna: 43.0 (#111), Muse Spark 1.2: 45.2 (#48)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| LMArena Longer Query | 1409 | 1475 |
Writing & Preference Muse Spark 1.2 leads
GPT-6 Luna: 58.3 (#119), Muse Spark 1.2: 72.3 (#14)
| Benchmark | GPT-6 Luna | Muse Spark 1.2 |
|---|---|---|
| LMArena Text | 1391 | 1482 |
| LMArena Creative Writing | 1363 | 1449 |
| LMArena Multi-Turn | 1396 | 1494 |
| EQ-Bench Creative Writing | — | 1840 |
Frequently asked questions
Is GPT-6 Luna better than Muse Spark 1.2?
GPT-6 Luna is the stronger model overall, scoring 53.3 to 50.3 on the Noometry Index.
Which is cheaper, GPT-6 Luna or Muse Spark 1.2?
GPT-6 Luna is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Muse Spark 1.2 lists at $1.25 and $4.25.
Is GPT-6 Luna or Muse Spark 1.2 better for coding?
GPT-6 Luna scores higher on coding benchmarks: 55.5 versus 49.2 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Luna does, with 1.05M tokens against 1.05M.
How many benchmarks do GPT-6 Luna and Muse Spark 1.2 share?
27 benchmarks have published results for both models. GPT-6 Luna has 42 scored results on Noometry and Muse Spark 1.2 has 31.