GLM-5 vs Muse Spark
GLM-5 
Muse Spark Verdict
- Muse Spark leads on quality: 65.6 vs 59.1.
- Muse Spark is stronger in agents & tools, coding, composite, human preference, instruction following, knowledge, long context, maths, reasoning, multimodal.
| Metric | GLM-5 | Muse Spark |
|---|---|---|
| BenchLeader Index | 59.1 | 65.6 |
| Agents & tools score | 56.8 | 66.4 |
| Coding score | 52.9 | 66.2 |
| Composite score | 64.3 | 68.6 |
| Human preference score | 65.6 | 69.3 |
| Instruction following score | 70.5 | 79.7 |
| Knowledge score | 64.3 | 64.6 |
| Long context score | 64.3 | 65.5 |
| Maths score | 53.1 | 56.4 |
| Reasoning score | 51.5 | 70.2 |
| Multimodal score | – | 65.9 |
| Blended price $/M | $1.55 | – |
| Output speed | 66 tok/s | – |
| Time to first answer | 48.7 s | – |
| Context window | 205k | 262k |
| GPQA Diamond | 87.8% | 89.8% |
| OTIS Mock AIME | 80.0% | 88.9% |
| SWE-bench Verified (Epoch) | 72.1% | – |
| Humanity's Last Exam | – | 40.6% |
| Terminal-Bench | 52.4% | – |
| SimpleBench | 53.2% | – |
| SciCode | – | 51.5% |
| WeirdML | 48.2% | – |
| APEX-Agents | 17.2% | – |
| ProofBench | – | 17.0% |
| Epoch Capabilities Index | 145.9 | 152.1 |
| LMArena Text | 1458 | 1488 |
| LMArena Hard Prompts | 1478 | 1505 |
| LMArena Coding | 1498 | 1526 |
| LMArena WebDev | 1436 | – |
| LMArena Vision | – | 1306 |
| AA Intelligence Index | 27.9 | 31.3 |
| IFBench | 72.3% | 75.9% |
| AA-LCR | 75.7% | 78.0% |
| MMMU-Pro | – | 80.5% |
| AA-Omniscience | 0.3 | 7.2 |
| Terminal-Bench Hard | 43.2% | 45.5% |
| GPQA Diamond (AA) | 82.0% | 88.4% |
| Humanity's Last Exam (AA) | 29.3% | 40.7% |
| τ²-Bench Telecom (AA) | 98.3% | 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% |
| AIME 2026 | 96.7% | – |
| HMMT February 2026 | 86.4% | – |
| MathArena Apex | 10.9% | – |
| SWE-Bench Pro | – | 55.0% |
| MCP Atlas | – | 82.2% |
| MultiChallenge | – | 75.5% |
| PRBench Finance | – | 52.4% |
| PRBench Legal | – | 52.3% |
| MultiNRC | – | 59.0% |
| TutorBench | – | 68.5% |
| Kagi LLM Benchmark | 51.7% | – |
| ARC-AGI-1 | 44.7% | – |
| ARC-AGI-2 | 4.9% | – |
Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.
GLM-5 vs Muse Spark: questions
- Is GLM-5 better than Muse Spark?
- Muse Spark leads on quality: 65.6 vs 59.1. 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 GLM-5 better than Muse Spark for coding?
- Muse Spark scores higher in coding (66 vs 53 on the category index, where 50 is average).
- Is GLM-5 better than Muse Spark for agentic tasks?
- Muse Spark scores higher in agentic tasks (66 vs 57 on the category index, where 50 is average).
- Which has the larger context window?
- Muse Spark accepts more context: 262k against 205k tokens.