Model comparison
GPT-4o vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.3 to 28.5 on the Noometry Index.
Last verified . 23 shared benchmarks.
MetaSummary
- They share 23 benchmarks with published results for both. GPT-4o scores higher in 0 categories and Muse Spark in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 28.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 6.4% for GPT-4o and 88.9% for Muse Spark.
Side by side
| GPT-4o | Muse Spark | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 28.5 | 50.3 |
| Released | 2024-05-13 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | — |
| Max output | 16K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 72 | 27 |
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Category by category
Coding Muse Spark leads
GPT-4o: 25.1 (#323), Muse Spark: 45.6 (#65)
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| LMArena Coding | 1297 | 1482 |
| SWE-bench Verified | 31% | — |
| SWE-bench Verified (bash only) | 21.6% | — |
| Aider Polyglot | 45.3% | — |
| SciCode | — | 51.5% |
| GSO | 0% | — |
| WeirdML | 25.1% | — |
| BigCodeBench Instruct | 51.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 61.1% | — |
| CadEval | 26% | — |
| HumanEval+ | 87.2% | — |
| MBPP+ | 72.2% | — |
Agentic & Tool Use Not comparable
GPT-4o: 20.8 (#133), Muse Spark: —
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| GDPval | 9.9% | — |
| TheAgentCompany | 8.6% | — |
| Cybench | 12.5% | — |
| BALROG | 32.3% | — |
| LMArena Search | 1006 | — |
| METR Time Horizons | 40.8% | — |
Reasoning Muse Spark leads
GPT-4o: 9.4 (#338), Muse Spark: 34.9 (#61)
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| CritPt | 0% | 11.3% |
| LMArena Hard Prompts | 1281 | 1475 |
| Epoch Capabilities Index | 128.97 | 152.09 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 17.8% | — |
| ARC-AGI-1 | 4.5% | — |
| Chess Puzzles | 13% | — |
| EnigmaEval | 0.8% | — |
| LiveBench Reasoning | 55.8% | — |
| DTBench | 64.5% | — |
| LiveBench Data Analysis | 60.9% | — |
| LMCA | 16.6% | — |
| ForecastBench | 57.7 | — |
| LiveBench | 55.3% | — |
Math Muse Spark leads
GPT-4o: 10.2 (#303), Muse Spark: 46.8 (#57)
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 6.4% | 88.9% |
| LMArena Math | 1285 | 1455 |
| FrontierMath (Feb 2025 set) | 0.3% | 39% |
| FrontierMath (Tiers 1-3) | 0.4% | — |
| ProofBench | — | 17% |
| Omni-MATH | 29.3% | — |
| LiveBench Math | 49.5% | — |
| MATH Level 5 | 53.3% | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Muse Spark leads
GPT-4o: 28.8 (#235), Muse Spark: 65.7 (#12)
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| GPQA Diamond | 49.2% | 89.8% |
| Humanity's Last Exam | 2.7% | 40.6% |
| LMArena Expert | 1250 | 1458 |
| SimpleQA Verified | 26% | — |
| MMLU-Pro | 71.3% | — |
| Confabulations | 15.3% | — |
| Vectara Hallucination Rate | 9.6% | — |
| GPQA (HELM) | 52% | — |
| MMLU | 88.1% | — |
Multimodal Muse Spark leads
GPT-4o: 33.9 (#85), Muse Spark: 42.7 (#23)
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| LMArena Vision | 1137 | 1306 |
| Video-MME | 71.9% | — |
| GeoBench | 71% | — |
| VPCT | 40% | — |
| LMArena Document | — | 1444 |
| ScienceQA | 88.5% | — |
Multilingual Muse Spark leads
GPT-4o: 43.4 (#181), Muse Spark: 56.3 (#23)
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| LMArena Non-English | 1283 | 1464 |
| LMArena Chinese | 1277 | 1507 |
| LMArena French | 1303 | 1497 |
| LMArena German | 1282 | 1497 |
| LMArena Korean | 1234 | 1457 |
| LMArena Russian | 1286 | 1467 |
| LMArena Spanish | 1292 | 1471 |
| LMArena Japanese | 1257 | — |
Instruction Following Muse Spark leads
GPT-4o: 66.8 (#202), Muse Spark: 76.1 (#47)
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1278 | 1443 |
| LiveBench Instruction Following | 68.6% | — |
| IFEval | 81.7% | — |
Long Context Muse Spark leads
GPT-4o: 39.4 (#174), Muse Spark: 44.4 (#65)
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1289 | 1451 |
| Fiction.LiveBench | 66.7% | — |
Writing & Preference Muse Spark leads
GPT-4o: 52.8 (#160), Muse Spark: 66.2 (#37)
| Benchmark | GPT-4o | Muse Spark |
|---|---|---|
| LMArena Text | 1300 | 1474 |
| LMArena Creative Writing | 1291 | 1460 |
| LMArena Multi-Turn | 1302 | 1477 |
| Short-Story Creative Writing | 81.8% | — |
| WildBench | 82.8% | — |
| LiveBench Language | 47.6% | — |
Frequently asked questions
Is GPT-4o better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.3 to 28.5 on the Noometry Index.
Is GPT-4o or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 45.6 versus 25.1 in the Noometry coding category.
How many benchmarks do GPT-4o and Muse Spark share?
23 benchmarks have published results for both models. GPT-4o has 72 scored results on Noometry and Muse Spark has 27.