GLM-5.2 vs Muse Spark 1.2
GLM-5.2 
Muse Spark 1.2 Verdict
- GLM-5.2 (max) and Muse Spark 1.2 (xhigh) are level on quality (63.9 vs 64.1).
- GLM-5.2 (max) is stronger in agents & tools, coding, composite, instruction following, maths.
- Muse Spark 1.2 (xhigh) is stronger in human preference, knowledge, long context, reasoning, multimodal.
- They cost about the same ($2.00 per 1M blended).
- Muse Spark 1.2 (xhigh) streams 2.9× faster (207 vs 71 tokens per second).
| Metric | GLM-5.2 (max) | Muse Spark 1.2 (xhigh) |
|---|---|---|
| BenchLeader Index | 63.9 | 64.1 |
| Agents & tools score | 63.8 | 57.5 |
| Coding score | 63.8 | 57.2 |
| Composite score | 72.1 | 69.9 |
| Human preference score | 67.2 | 70.6 |
| Instruction following score | 71.6 | – |
| Knowledge score | 55.5 | 67.9 |
| Long context score | 65.6 | 65.9 |
| Maths score | 59.0 | – |
| Reasoning score | 72.9 | 73.8 |
| Multimodal score | – | 66.0 |
| Blended price $/M | $2.15 | $2.00 |
| Output speed | 71 tok/s | 207 tok/s |
| Time to first answer | 31.6 s | 22.3 s |
| Context window | 1M | 1.0M |
| GPQA Diamond | 91.9% | – |
| FrontierMath Tiers 1–3 | 59.2% | – |
| FrontierMath Tier 4 | 29.3% | – |
| OTIS Mock AIME | 86.4% | – |
| SWE-bench Verified (Epoch) | 78.7% | – |
| SimpleQA Verified | 34.2% | 60.3% |
| SciCode | 50.5% | 56.4% |
| WeirdML | 70.1% | 60.3% |
| ProofBench | 35.0% | – |
| LMArena Text | 1472 | 1500 |
| LMArena Hard Prompts | 1493 | 1513 |
| LMArena Coding | 1510 | 1536 |
| LMArena WebDev | 1592 | 1534 |
| LMArena Vision | – | 1304 |
| LMArena Agent | 4.4 | -1.8 |
| LiveBench | – | 78.0% |
| LiveBench Reasoning | – | 90.0% |
| LiveBench Coding | – | 77.5% |
| LiveBench Agentic Coding | – | 57.6% |
| LiveBench Mathematics | – | 91.2% |
| LiveBench Data Analysis | – | 76.5% |
| LiveBench Language | – | 78.6% |
| LiveBench Instruction Following | – | 74.3% |
| AA Intelligence Index | 34.0 | 39.8 |
| IFBench | 73.3% | – |
| AA-LCR | 78.3% | 79.0% |
| AA-Omniscience | 4.4 | 27.2 |
| Terminal-Bench Hard | 50.8% | – |
| GPQA Diamond (AA) | 89.5% | 90.4% |
| Humanity's Last Exam (AA) | 41.1% | 45.5% |
| SciCode (AA) | 51.2% | 57.4% |
| τ²-Bench Telecom (AA) | 99.1% | – |
| MMLU-Pro | – | 88.3% |
| IOI | – | 21.8% |
| LegalBench | – | 85.3% |
| CorpFin | – | 70.9% |
| TaxEval | – | 80.4% |
| Terminal-Bench 2.1 (Vals) | 67.8% | 69.7% |
| SWE-bench (Vals) | 82.8% | 86.6% |
| Vals Index | – | 57.0 |
| CritPt | 20.9% | 17.7% |
| GDPval (AA) | 45.3% | 51.2% |
| τ²-Bench Banking (AA) | 34.6% | 34.9% |
| ITBench SRE (AA) | 42.7% | – |
| APEX-Agents (AA) | 33.7% | – |
| BioMysteryBench | – | 64.8% |
| Code Migration | 37.9% | 29.9% |
| Excel Modeling Benchmark | – | 57.0% |
| Finance Agent v2 | – | 60.6% |
| Harvey's Legal Agent Benchmark | 7.1% | 25.4% |
| Legal Research Bench | 31.3% | 43.8% |
| MedCode | – | 49.4% |
| MedScribe | – | 90.1% |
| MMMU-Pro (Vals) | – | 86.1% |
| MortgageTax | – | 65.4% |
| ProgramBench | 0.5% | – |
| Public Benefits Bench | – | 68.5% |
| SAGE | – | 47.7% |
| SkillsBench | 45.1% | 53.0% |
| SREBench | 0.0% | – |
| Terminal-Bench 4.0 (Vals) | – | 5.6% |
| Vibe Code Bench v1.1 | 64.0% | 79.1% |
| LMArena Maths | 1480 | – |
| LMArena Creative Writing | 1451 | 1452 |
| LMArena Instruction Following | 1466 | 1480 |
| LMArena Multi-turn | 1469 | 1520 |
| LMArena Longer Queries | 1483 | 1502 |
| Chess Puzzles | 21.0% | – |
| EBR-bench | 9.5% | – |
| PostTrainBench | 31.7% | – |
| DeepSWE | 43.8% | 54.9% |
| LMCA | 45.8% | 48.4% |
| DTBench | 93.6% | 94.7% |
| CursorBench | 55.0% | – |
| ALE-Bench | 1010.2 | – |
| GDP.pdf | – | 16.0% |
| FrontierSWE | – | 12.0% |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
GLM-5.2 vs Muse Spark 1.2: questions
- Is GLM-5.2 better than Muse Spark 1.2?
- GLM-5.2 (max) and Muse Spark 1.2 (xhigh) are level on quality (63.9 vs 64.1). The BenchLeader Index combines every independent quality benchmark; Muse Spark 1.2 (xhigh) is ahead overall as of 2026-09-19, but check the category scores for your use.
- Is GLM-5.2 better than Muse Spark 1.2 for coding?
- GLM-5.2 scores higher in coding (64 vs 57 on the category index, where 50 is average).
- Is GLM-5.2 better than Muse Spark 1.2 for agentic tasks?
- GLM-5.2 scores higher in agentic tasks (64 vs 58 on the category index, where 50 is average).
- Which is cheaper, GLM-5.2 or Muse Spark 1.2?
- Muse Spark 1.2 is cheaper: $2.00 against $2.15 per million tokens, blended at three input tokens per output token.
- Which is faster, GLM-5.2 or Muse Spark 1.2?
- Muse Spark 1.2 streams faster: 207 against 71 output tokens per second.
- Which has the larger context window?
- Muse Spark 1.2 accepts more context: 1.0M against 1M tokens.