Claude Opus 4.8 vs GLM-5.2
Claude Opus 4.8 
GLM-5.2 Verdict
- Claude Opus 4.8 (max) and GLM-5.2 (max) are level on quality (64.2 vs 63.9).
- Claude Opus 4.8 (max) is stronger in knowledge, maths.
- GLM-5.2 (max) is stronger in agents & tools, coding, composite, instruction following, long context, reasoning, human preference.
- GLM-5.2 (max) is 4.7× cheaper ($2.15 vs $10.00 per 1M blended).
- GLM-5.2 (max) streams 1.3× faster (71 vs 54 tokens per second).
| Metric | Claude Opus 4.8 (max) | GLM-5.2 (max) |
|---|---|---|
| BenchLeader Index | 64.2 | 63.9 |
| Agents & tools score | 58.8 | 63.8 |
| Coding score | 62.5 | 63.8 |
| Composite score | 68.7 | 72.1 |
| Instruction following score | 62.0 | 71.6 |
| Knowledge score | 69.3 | 55.5 |
| Long context score | 65.2 | 65.6 |
| Maths score | 69.6 | 59.0 |
| Reasoning score | 72.1 | 72.9 |
| Human preference score | – | 67.2 |
| Blended price $/M | $10.00 | $2.15 |
| Output speed | 54 tok/s | 71 tok/s |
| Time to first answer | 24.0 s | 31.6 s |
| Context window | 1M | 1M |
| GPQA Diamond | 91.0% | 91.9% |
| FrontierMath Tiers 1–3 | 80.0% | 59.2% |
| FrontierMath Tier 4 | 56.1% | 29.3% |
| OTIS Mock AIME | 98.3% | 86.4% |
| SWE-bench Verified (Epoch) | – | 78.7% |
| SimpleQA Verified | 53.0% | 34.2% |
| Terminal-Bench | 23.6% | – |
| OSWorld-Verified 2.0 | 20.6% | – |
| SciCode | 53.5% | 50.5% |
| WeirdML | – | 70.1% |
| APEX-Agents | 42.5% | – |
| ProofBench | 69.0% | 35.0% |
| LMArena Text | – | 1472 |
| LMArena Hard Prompts | – | 1493 |
| LMArena Coding | – | 1510 |
| LMArena WebDev | – | 1592 |
| LMArena Agent | – | 4.4 |
| LiveBench | 76.2% | – |
| LiveBench Reasoning | 89.2% | – |
| LiveBench Coding | 81.8% | – |
| LiveBench Agentic Coding | 50.5% | – |
| LiveBench Mathematics | 94.3% | – |
| LiveBench Data Analysis | 66.0% | – |
| LiveBench Language | 79.7% | – |
| LiveBench Instruction Following | 72.0% | – |
| AA Intelligence Index | 42.0 | 34.0 |
| IFBench | 62.2% | 73.3% |
| AA-LCR | 77.7% | 78.3% |
| AA-Omniscience | 28.8 | 4.4 |
| Terminal-Bench Hard | 58.3% | 50.8% |
| GPQA Diamond (AA) | 92.0% | 89.5% |
| Humanity's Last Exam (AA) | 48.7% | 41.1% |
| SciCode (AA) | 54.4% | 51.2% |
| τ²-Bench Telecom (AA) | 94.4% | 99.1% |
| Terminal-Bench 2.1 (Vals) | – | 67.8% |
| SWE-bench (Vals) | – | 82.8% |
| AIME 2026 | 100.0% | – |
| HMMT February 2026 | 95.5% | – |
| MathArena Apex | 81.3% | – |
| MCP Atlas | 82.2% | – |
| ARC-AGI-1 | 92.5% | – |
| CritPt | 20.9% | 20.9% |
| GDPval (AA) | 49.5% | 45.3% |
| τ²-Bench Banking (AA) | 34.2% | 34.6% |
| ITBench SRE (AA) | – | 42.7% |
| Analyst Agent (AA) | 45.0% | – |
| APEX-Agents (AA) | – | 33.7% |
| Code Migration | – | 37.9% |
| Harvey's Legal Agent Benchmark | – | 7.1% |
| Legal Research Bench | – | 31.3% |
| ProgramBench | – | 0.5% |
| SkillsBench | – | 45.1% |
| SREBench | – | 0.0% |
| Vibe Code Bench v1.1 | – | 64.0% |
| DrugDiscoveryBench | 46.8% | – |
| FORTRESS | 18.2% | – |
| LMArena Maths | – | 1480 |
| LMArena Creative Writing | – | 1451 |
| LMArena Instruction Following | – | 1466 |
| LMArena Multi-turn | – | 1469 |
| LMArena Longer Queries | – | 1483 |
| Chess Puzzles | 34.0% | 21.0% |
| EBR-bench | 28.6% | 9.5% |
| Mystery Game Puzzles | 36.0% | – |
| PostTrainBench | 32.9% | 31.7% |
| DeepSWE | 59.0% | 43.8% |
| LMCA | 57.5% | 45.8% |
| DTBench | 94.9% | 93.6% |
| CursorBench | 62.3% | 55.0% |
| ALE-Bench | – | 1010.2 |
| Vending-Bench 2 | 2992.3 | – |
| GDP.pdf | 24.0% | – |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
Claude Opus 4.8 vs GLM-5.2: questions
- Is Claude Opus 4.8 better than GLM-5.2?
- Claude Opus 4.8 (max) and GLM-5.2 (max) are level on quality (64.2 vs 63.9). The BenchLeader Index combines every independent quality benchmark; Claude Opus 4.8 (max) is ahead overall as of 2026-09-19, but check the category scores for your use.
- Is Claude Opus 4.8 better than GLM-5.2 for coding?
- GLM-5.2 scores higher in coding (64 vs 63 on the category index, where 50 is average).
- Is Claude Opus 4.8 better than GLM-5.2 for agentic tasks?
- GLM-5.2 scores higher in agentic tasks (64 vs 59 on the category index, where 50 is average).
- Which is cheaper, Claude Opus 4.8 or GLM-5.2?
- GLM-5.2 is cheaper: $2.15 against $10.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Claude Opus 4.8 or GLM-5.2?
- GLM-5.2 streams faster: 71 against 54 output tokens per second.
- Which has the larger context window?
- Both accept 1M tokens of context.