Model comparison
GPT-6 Luna vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.3 to 45.1 on the Noometry Index.
Last verified . 13 shared benchmarks.
MetaSummary
- They share 13 benchmarks with published results for both. GPT-6 Luna scores higher in 1 category and Muse Spark in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 40.1.
Side by side
| GPT-6 Luna | Muse Spark | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.1 | 50.3 |
| Released | 2026-09-22 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.10 | — |
| Output $ / M tokens | $0.50 | — |
| Results tracked | 18 | 27 |
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Category by category
Coding GPT-6 Luna leads
GPT-6 Luna: 54.7 (#24), Muse Spark: 45.6 (#65)
| Benchmark | GPT-6 Luna | Muse Spark |
|---|---|---|
| LMArena Coding | 1448 | 1482 |
| DeepSWE | 66.6% | — |
| FrontierCode | 42.4% | — |
| LMArena WebDev | 1583 | — |
| SciCode | — | 51.5% |
Reasoning Muse Spark leads
GPT-6 Luna: 31.7 (#68), Muse Spark: 34.9 (#61)
| Benchmark | GPT-6 Luna | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1415 | 1475 |
| NYT Connections (extended) | 68.7% | — |
| CritPt | — | 11.3% |
| Epoch Capabilities Index | — | 152.09 |
Math Muse Spark leads
GPT-6 Luna: 35.6 (#140), Muse Spark: 46.8 (#57)
| Benchmark | GPT-6 Luna | Muse Spark |
|---|---|---|
| LMArena Math | 1396 | 1455 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| ProofBench | — | 17% |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
GPT-6 Luna: 40.1 (#110), Muse Spark: 65.7 (#12)
| Benchmark | GPT-6 Luna | Muse Spark |
|---|---|---|
| LMArena Expert | 1458 | 1458 |
| GPQA Diamond | — | 89.8% |
| Humanity's Last Exam | — | 40.6% |
Multimodal Too close to call
GPT-6 Luna: 42.0 (#27), Muse Spark: 42.7 (#23)
| Benchmark | GPT-6 Luna | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| Furniture Assembly | 44.2% | — |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
GPT-6 Luna: 51.0 (#111), Muse Spark: 56.3 (#23)
| Benchmark | GPT-6 Luna | Muse Spark |
|---|---|---|
| LMArena Non-English | 1390 | 1464 |
| LMArena Chinese | 1425 | 1507 |
| LMArena Russian | 1392 | 1467 |
| LMArena Spanish | 1416 | 1471 |
| LMArena French | — | 1497 |
| LMArena German | — | 1497 |
| LMArena Korean | — | 1457 |
Instruction Following Muse Spark leads
GPT-6 Luna: 74.7 (#85), Muse Spark: 76.1 (#47)
| Benchmark | GPT-6 Luna | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1414 | 1443 |
Long Context Muse Spark leads
GPT-6 Luna: 43.3 (#95), Muse Spark: 44.4 (#65)
| Benchmark | GPT-6 Luna | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1417 | 1451 |
Writing & Preference Muse Spark leads
GPT-6 Luna: 58.4 (#115), Muse Spark: 66.2 (#37)
| Benchmark | GPT-6 Luna | Muse Spark |
|---|---|---|
| LMArena Text | 1392 | 1474 |
| LMArena Creative Writing | 1357 | 1460 |
| LMArena Multi-Turn | 1400 | 1477 |
Frequently asked questions
Is GPT-6 Luna better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.3 to 45.1 on the Noometry Index.
Is GPT-6 Luna or Muse Spark better for coding?
GPT-6 Luna scores higher on coding benchmarks: 54.7 versus 45.6 in the Noometry coding category.
How many benchmarks do GPT-6 Luna and Muse Spark share?
13 benchmarks have published results for both models. GPT-6 Luna has 18 scored results on Noometry and Muse Spark has 27.