GPT-5.2 vs Muse Spark 1.3
GPT-5.2 
Muse Spark 1.3 Verdict
- Muse Spark 1.3 (xhigh) leads on quality: 63.9 vs 61.6.
- GPT-5.2 is stronger in agents & tools, human preference, instruction following, reasoning.
- Muse Spark 1.3 (xhigh) is stronger in coding, composite, knowledge, long context, multimodal.
- Muse Spark 1.3 (xhigh) is 2.4× cheaper ($2.00 vs $4.81 per 1M blended).
- Muse Spark 1.3 (xhigh) streams 2.8× faster (190 vs 68 tokens per second).
| Metric | GPT-5.2 | Muse Spark 1.3 (xhigh) |
|---|---|---|
| BenchLeader Index | 61.6 | 63.9 |
| Agents & tools score | 61.2 | 60.2 |
| Coding score | 53.7 | 70.3 |
| Composite score | 67.5 | 78.6 |
| Human preference score | 67.9 | – |
| Instruction following score | 67.4 | – |
| Knowledge score | 61.1 | 75.1 |
| Long context score | 67.9 | 68.1 |
| Multimodal score | 59.9 | 66.6 |
| Reasoning score | 61.3 | – |
| Blended price $/M | $4.81 | $2.00 |
| Output speed | 68 tok/s | 190 tok/s |
| Time to first answer | 129.4 s | 35.7 s |
| Context window | 400k | 1M |
| Humanity's Last Exam | 27.8% | – |
| Terminal-Bench | 64.9% | – |
| SimpleBench | 45.8% | – |
| Remote Labor Index | 2.1% | – |
| APEX-Agents | 23.0% | – |
| Epoch Capabilities Index | 153.5 | – |
| LMArena Text | 1476 | – |
| LMArena Hard Prompts | 1497 | – |
| LMArena Coding | 1515 | – |
| LMArena WebDev | 1417 | 1625 |
| LMArena Vision | 1268 | – |
| 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 | 30.4 | 45.2 |
| IFBench | 75.4% | – |
| AA-LCR | 82.7% | 83.0% |
| MMMU-Pro | – | 82.0% |
| AA-Omniscience | -0.9 | 23.1 |
| Terminal-Bench Hard | 47.0% | – |
| GPQA Diamond (AA) | 90.3% | 94.1% |
| Humanity's Last Exam (AA) | 37.7% | 47.5% |
| SciCode (AA) | – | 59.7% |
| τ²-Bench Telecom (AA) | 84.8% | – |
| Terminal-Bench 2.1 (Vals) | – | 72.3% |
| Vals Index | – | 60.3 |
| SWE-Bench Pro | 29.9% | – |
| VISTA | 46.6% | – |
| MultiNRC | 42.2% | – |
| TutorBench | 53.5% | – |
| Kagi LLM Benchmark | 73.3% | – |
| SWE-bench Verified (bash only) | 69.0% | – |
| ARC-AGI-1 | 94.5% | – |
| ARC-AGI-2 | 72.9% | – |
| BFCL Overall | 55.9% | – |
Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.
GPT-5.2 vs Muse Spark 1.3: questions
- Is GPT-5.2 better than Muse Spark 1.3?
- Muse Spark 1.3 (xhigh) leads on quality: 63.9 vs 61.6. The BenchLeader Index combines every independent quality benchmark; Muse Spark 1.3 (xhigh) is ahead overall as of 2026-09-10, but check the category scores for your use.
- Is GPT-5.2 better than Muse Spark 1.3 for coding?
- Muse Spark 1.3 scores higher in coding (70 vs 54 on the category index, where 50 is average).
- Is GPT-5.2 better than Muse Spark 1.3 for agentic tasks?
- GPT-5.2 scores higher in agentic tasks (61 vs 60 on the category index, where 50 is average).
- Which is cheaper, GPT-5.2 or Muse Spark 1.3?
- Muse Spark 1.3 is cheaper: $2.00 against $4.81 per million tokens, blended at three input tokens per output token.
- Which is faster, GPT-5.2 or Muse Spark 1.3?
- Muse Spark 1.3 streams faster: 190 against 68 output tokens per second.
- Which has the larger context window?
- Muse Spark 1.3 accepts more context: 1M against 400k tokens.