GPT-5 vs Muse Spark
GPT-5 
Muse Spark Verdict
- Muse Spark leads on quality: 65.6 vs 59.9.
- GPT-5 is stronger in long context.
- Muse Spark is stronger in agents & tools, coding, composite, human preference, instruction following, knowledge, multimodal, reasoning, maths.
| Metric | GPT-5 | Muse Spark |
|---|---|---|
| BenchLeader Index | 59.9 | 65.6 |
| Agents & tools score | 51.0 | 66.4 |
| Coding score | 61.0 | 66.2 |
| Composite score | 58.0 | 68.6 |
| Human preference score | 61.8 | 69.3 |
| Instruction following score | 67.7 | 79.7 |
| Knowledge score | 62.2 | 64.6 |
| Long context score | 65.6 | 65.5 |
| Multimodal score | 59.6 | 65.9 |
| Reasoning score | 64.2 | 70.2 |
| Maths score | – | 56.4 |
| Blended price $/M | $3.44 | – |
| Output speed | 70 tok/s | – |
| Time to first answer | 77.2 s | – |
| Context window | 400k | 262k |
| GPQA Diamond | – | 89.8% |
| OTIS Mock AIME | – | 88.9% |
| Humanity's Last Exam | – | 40.6% |
| Terminal-Bench | 49.6% | – |
| SciCode | 42.9% | 51.5% |
| Remote Labor Index | 1.7% | – |
| WeirdML | 39.8% | – |
| APEX-Agents | 18.3% | – |
| ProofBench | – | 17.0% |
| Epoch Capabilities Index | 150 | 152.1 |
| LMArena Text | 1427 | 1488 |
| LMArena Hard Prompts | 1449 | 1505 |
| LMArena Coding | 1463 | 1526 |
| LMArena Vision | 1232 | 1306 |
| AA Intelligence Index | 23.0 | 31.3 |
| IFBench | 73.1% | 75.9% |
| AA-LCR | 78.2% | 78.0% |
| MMMU-Pro | 74.2% | 80.5% |
| AA-Omniscience | -8.7 | 7.2 |
| Terminal-Bench Hard | 32.6% | 45.5% |
| GPQA Diamond (AA) | 85.3% | 88.4% |
| Humanity's Last Exam (AA) | 28.5% | 40.7% |
| τ²-Bench Telecom (AA) | 84.8% | 91.5% |
| AIME (Vals) | – | 96.9% |
| MMLU-Pro | – | 87.3% |
| LegalBench | – | 84.2% |
| CorpFin | – | 65.1% |
| TaxEval | – | 77.7% |
| SWE-bench (Vals) | – | 74.4% |
| GPQA Diamond (Vals) | – | 89.7% |
| SWE-Bench Pro | – | 55.0% |
| MCP Atlas | – | 82.2% |
| MultiChallenge | – | 75.5% |
| PRBench Finance | 51.3% | 52.4% |
| PRBench Legal | 49.0% | 52.3% |
| VISTA | 49.7% | – |
| MultiNRC | 52.1% | 59.0% |
| TutorBench | 55.3% | 68.5% |
| Kagi LLM Benchmark | 72.7% | – |
| Aider Polyglot | 88.0% | – |
| SWE-bench Verified (any scaffold) | 75.6% | – |
Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.
GPT-5 vs Muse Spark: questions
- Is GPT-5 better than Muse Spark?
- Muse Spark leads on quality: 65.6 vs 59.9. The BenchLeader Index combines every independent quality benchmark; Muse Spark is ahead overall as of 2026-09-10, but check the category scores for your use.
- Is GPT-5 better than Muse Spark for coding?
- Muse Spark scores higher in coding (66 vs 61 on the category index, where 50 is average).
- Is GPT-5 better than Muse Spark for agentic tasks?
- Muse Spark scores higher in agentic tasks (66 vs 51 on the category index, where 50 is average).
- Which has the larger context window?
- GPT-5 accepts more context: 400k against 262k tokens.