GPT-5 vs Muse Spark 1.3
GPT-5 
Muse Spark 1.3 Verdict
- Muse Spark 1.3 (xhigh) leads on quality: 63.3 vs 60.8.
- GPT-5 is stronger in coding, human preference, instruction following, maths, reasoning.
- Muse Spark 1.3 (xhigh) is stronger in agents & tools, composite, knowledge, long context, multimodal.
- Muse Spark 1.3 (xhigh) is 1.7× cheaper ($2.00 vs $3.44 per 1M blended).
- Muse Spark 1.3 (xhigh) streams 2.4× faster (206 vs 85 tokens per second).
| Metric | GPT-5 | Muse Spark 1.3 (xhigh) |
|---|---|---|
| BenchLeader Index | 60.8 | 63.3 |
| Agents & tools score | 51.0 | 60.2 |
| Coding score | 60.9 | 60.5 |
| Composite score | 58.1 | 78.7 |
| Human preference score | 61.7 | – |
| Instruction following score | 65.0 | – |
| Knowledge score | 62.2 | 75.3 |
| Long context score | 65.6 | 68.1 |
| Maths score | 72.8 | – |
| Multimodal score | 59.6 | 66.6 |
| Reasoning score | 64.2 | – |
| Blended price $/M | $3.44 | $2.00 |
| Output speed | 85 tok/s | 206 tok/s |
| Time to first answer | 60.7 s | 31.1 s |
| Context window | 400k | 1.0M |
| Terminal-Bench | 49.6% | – |
| SciCode | 42.9% | – |
| Remote Labor Index | 1.7% | – |
| WeirdML | 39.8% | – |
| APEX-Agents | 18.3% | – |
| Epoch Capabilities Index | 150 | – |
| LMArena Text | 1427 | – |
| LMArena Hard Prompts | 1449 | – |
| LMArena Coding | 1462 | – |
| LMArena WebDev | – | 1623 |
| LMArena Vision | 1232 | – |
| LiveBench | – | 81.6% |
| LiveBench Reasoning | – | 89.7% |
| LiveBench Coding | – | 81.1% |
| LiveBench Agentic Coding | – | 64.1% |
| LiveBench Mathematics | – | 96.0% |
| LiveBench Data Analysis | – | 79.6% |
| LiveBench Language | – | 82.8% |
| AA Intelligence Index | 23.0 | 45.2 |
| IFBench | 73.1% | – |
| AA-LCR | 78.2% | 83.0% |
| MMMU-Pro | 74.2% | 82.0% |
| AA-Omniscience | -8.7 | 23.1 |
| Terminal-Bench Hard | 32.6% | – |
| GPQA Diamond (AA) | 85.3% | 94.1% |
| Humanity's Last Exam (AA) | 28.5% | 47.5% |
| SciCode (AA) | – | 59.7% |
| τ²-Bench Telecom (AA) | 84.8% | – |
| IOI | – | 43.9% |
| Terminal-Bench 2.1 (Vals) | – | 72.3% |
| Vals Index | – | 60.3 |
| PRBench Finance | 51.3% | – |
| PRBench Legal | 49.0% | – |
| VISTA | 49.7% | – |
| MultiNRC | 52.1% | – |
| TutorBench | 55.3% | – |
| Kagi LLM Benchmark | 72.7% | – |
| IFEval (HELM) | 87.5% | – |
| Omni-MATH (HELM) | 64.7% | – |
| WildBench (HELM) | 85.7% | – |
| MMLU-Pro (HELM) | 86.3% | – |
| GPQA Diamond (HELM) | 79.1% | – |
| HELM Capabilities mean | 80.7% | – |
| Aider Polyglot | 88.0% | – |
| SWE-bench Verified (any scaffold) | 75.6% | – |
Data as of 2026-09-12. Best configuration of each model; every score links to its source on the model pages.
GPT-5 vs Muse Spark 1.3: questions
- Is GPT-5 better than Muse Spark 1.3?
- Muse Spark 1.3 (xhigh) leads on quality: 63.3 vs 60.8. The BenchLeader Index combines every independent quality benchmark; Muse Spark 1.3 (xhigh) is ahead overall as of 2026-09-12, but check the category scores for your use.
- Is GPT-5 better than Muse Spark 1.3 for coding?
- GPT-5 scores higher in coding (61 vs 61 on the category index, where 50 is average).
- Is GPT-5 better than Muse Spark 1.3 for agentic tasks?
- Muse Spark 1.3 scores higher in agentic tasks (60 vs 51 on the category index, where 50 is average).
- Which is cheaper, GPT-5 or Muse Spark 1.3?
- Muse Spark 1.3 is cheaper: $2.00 against $3.44 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-5 or Muse Spark 1.3?
- Muse Spark 1.3 streams faster: 206 against 85 output tokens per second.
- Which has the larger context window?
- Muse Spark 1.3 accepts more context: 1.0M against 400k tokens.