Model comparison
gpt-oss-120b vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.3 to 36.0 on the Noometry Index.
Last verified . 21 shared benchmarks.
MetaSummary
- They share 21 benchmarks with published results for both. gpt-oss-120b scores higher in 1 category and Muse Spark in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 42.3.
- The biggest single-benchmark swing is SciCode: 36% for gpt-oss-120b and 51.5% for Muse Spark.
- gpt-oss-120b has downloadable open weights; the other is API-only.
Side by side
| gpt-oss-120b | Muse Spark | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 36.0 | 50.3 |
| Released | 2025-08-05 | 2026-04-08 |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 41K | — |
| Input $ / M tokens | $0.037 | — |
| Output $ / M tokens | $0.17 | — |
| Results tracked | 48 | 27 |
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Category by category
Coding Muse Spark leads
gpt-oss-120b: 33.2 (#251), Muse Spark: 45.6 (#65)
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| SciCode | 36% | 51.5% |
| LMArena Coding | 1380 | 1482 |
| SWE-bench Verified (bash only) | 26% | — |
| Aider Polyglot | 41.8% | — |
| WeirdML | 48.2% | — |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |
Agentic & Tool Use Not comparable
gpt-oss-120b: 12.1 (#145), Muse Spark: —
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |
Reasoning Muse Spark leads
gpt-oss-120b: 19.5 (#236), Muse Spark: 34.9 (#61)
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| CritPt | 1.1% | 11.3% |
| LMArena Hard Prompts | 1364 | 1475 |
| Epoch Capabilities Index | 139.94 | 152.09 |
| SimpleBench | 22.1% | — |
| Kagi LLM Benchmark | 58.6% | — |
| Chess Puzzles | 20% | — |
| Mystery Game Puzzles | 2% | — |
| DTBench | 76.3% | — |
| LMCA | 22.1% | — |
| Surface Evolver Bench | 25% | — |
Math gpt-oss-120b leads
gpt-oss-120b: 50.6 (#43), Muse Spark: 46.8 (#57)
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 88.9% |
| LMArena Math | 1388 | 1455 |
| ProofBench | — | 17% |
| Omni-MATH | 68.8% | — |
| FrontierMath (Feb 2025 set) | — | 39% |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
gpt-oss-120b: 42.3 (#89), Muse Spark: 65.7 (#12)
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| GPQA Diamond | 75.8% | 89.8% |
| LMArena Expert | 1356 | 1458 |
| Humanity's Last Exam | — | 40.6% |
| MMLU-Pro | 79.5% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |
Multimodal Not comparable
gpt-oss-120b: —, Muse Spark: 42.7 (#23)
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| LMArena Vision | — | 1306 |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
gpt-oss-120b: 48.2 (#142), Muse Spark: 56.3 (#23)
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| LMArena Non-English | 1350 | 1464 |
| LMArena Chinese | 1384 | 1507 |
| LMArena French | 1370 | 1497 |
| LMArena German | 1355 | 1497 |
| LMArena Korean | 1283 | 1457 |
| LMArena Russian | 1343 | 1467 |
| LMArena Spanish | 1388 | 1471 |
| LMArena Japanese | 1332 | — |
Instruction Following Muse Spark leads
gpt-oss-120b: 69.5 (#168), Muse Spark: 76.1 (#47)
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1318 | 1443 |
| IFEval | 83.6% | — |
Long Context Muse Spark leads
gpt-oss-120b: 31.4 (#273), Muse Spark: 44.4 (#65)
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1319 | 1451 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Muse Spark leads
gpt-oss-120b: 46.7 (#213), Muse Spark: 66.2 (#37)
| Benchmark | gpt-oss-120b | Muse Spark |
|---|---|---|
| LMArena Text | 1366 | 1474 |
| LMArena Creative Writing | 1274 | 1460 |
| LMArena Multi-Turn | 1340 | 1477 |
| Short-Story Creative Writing | 77.1% | — |
| EQ-Bench Creative Writing | 961 | — |
| WildBench | 84.5% | — |
Frequently asked questions
Is gpt-oss-120b better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.3 to 36.0 on the Noometry Index.
Is gpt-oss-120b or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 45.6 versus 33.2 in the Noometry coding category.
How many benchmarks do gpt-oss-120b and Muse Spark share?
21 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Muse Spark has 27.