Muse Spark 1.3 vs o3
Muse Spark 1.3 
o3 Verdict
- Muse Spark 1.3 (xhigh) leads on quality: 63.3 vs 61.6.
- Muse Spark 1.3 (xhigh) is stronger in composite, knowledge, long context, multimodal.
- o3 is stronger in agents & tools, coding, human preference, instruction following, maths, reasoning.
- Muse Spark 1.3 (xhigh) is 1.8× cheaper ($2.00 vs $3.50 per 1M blended).
- Muse Spark 1.3 (xhigh) streams 1.9× faster (206 vs 107 tokens per second).
| Metric | Muse Spark 1.3 (xhigh) | o3 |
|---|---|---|
| BenchLeader Index | 63.3 | 61.6 |
| Agents & tools score | 60.2 | 70.3 |
| Coding score | 60.5 | 62.0 |
| Composite score | 78.7 | 54.5 |
| Knowledge score | 75.3 | 58.0 |
| Long context score | 68.1 | 63.8 |
| Multimodal score | 66.6 | 57.9 |
| Human preference score | – | 62.3 |
| Instruction following score | – | 65.0 |
| Maths score | – | 78.6 |
| Reasoning score | – | 61.5 |
| Blended price $/M | $2.00 | $3.50 |
| Output speed | 206 tok/s | 107 tok/s |
| Time to first answer | 31.1 s | 6.3 s |
| Context window | 1.0M | 200k |
| Epoch Capabilities Index | – | 146.9 |
| LMArena Text | – | 1432 |
| LMArena Hard Prompts | – | 1441 |
| LMArena Coding | – | 1460 |
| LMArena WebDev | 1623 | – |
| LMArena Vision | – | 1214 |
| 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 | 45.2 | 20.2 |
| IFBench | – | 71.4% |
| AA-LCR | 83.0% | 74.7% |
| MMMU-Pro | 82.0% | 70.1% |
| AA-Omniscience | 23.1 | -15.6 |
| Terminal-Bench Hard | – | 37.1% |
| GPQA Diamond (AA) | 94.1% | 82.7% |
| Humanity's Last Exam (AA) | 47.5% | 20.1% |
| SciCode (AA) | 59.7% | – |
| τ²-Bench Telecom (AA) | – | 80.7% |
| IOI | 43.9% | – |
| Terminal-Bench 2.1 (Vals) | 72.3% | – |
| Vals Index | 60.3 | – |
| PRBench Finance | – | 47.7% |
| PRBench Legal | – | 48.6% |
| MMMU (validation) | – | 82.9% |
| MMMU-Pro (official) | – | 76.4% |
| Kagi LLM Benchmark | – | 67.6% |
| IFEval (HELM) | – | 86.9% |
| Omni-MATH (HELM) | – | 71.4% |
| WildBench (HELM) | – | 86.1% |
| MMLU-Pro (HELM) | – | 85.9% |
| GPQA Diamond (HELM) | – | 75.3% |
| HELM Capabilities mean | – | 81.1% |
| Aider Polyglot | – | 81.3% |
| SWE-bench Verified (bash only) | – | 58.4% |
| SWE-bench Verified (any scaffold) | – | 58.4% |
| BFCL Overall | – | 63.0% |
Data as of 2026-09-12. Best configuration of each model; every score links to its source on the model pages.
Muse Spark 1.3 vs o3: questions
- Is Muse Spark 1.3 better than o3?
- Muse Spark 1.3 (xhigh) leads on quality: 63.3 vs 61.6. 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 Muse Spark 1.3 better than o3 for coding?
- o3 scores higher in coding (62 vs 61 on the category index, where 50 is average).
- Is Muse Spark 1.3 better than o3 for agentic tasks?
- o3 scores higher in agentic tasks (70 vs 60 on the category index, where 50 is average).
- Which is cheaper, Muse Spark 1.3 or o3?
- Muse Spark 1.3 is cheaper: $2.00 against $3.50 per million tokens, blended at three input tokens per output token.
- Which is faster, Muse Spark 1.3 or o3?
- Muse Spark 1.3 streams faster: 206 against 107 output tokens per second.
- Which has the larger context window?
- Muse Spark 1.3 accepts more context: 1.0M against 200k tokens.