Claude Sonnet 5.5 vs GLM 5.2
Claude Sonnet 5.5 
GLM 5.2 Verdict
- Claude Sonnet 5.5 (max) leads on quality: 67.6 vs 62.6.
- Claude Sonnet 5.5 (max) is stronger in agents & tools, coding, composite, knowledge, long context, maths, reasoning.
- GLM 5.2 (max) is stronger in human preference, instruction following.
- GLM 5.2 (max) is 1.9× cheaper ($2.15 vs $4.00 per 1M blended).
- Claude Sonnet 5.5 (max) streams 1.7× faster (141 vs 82 tokens per second).
| Metric | Claude Sonnet 5.5 (max) | GLM 5.2 (max) |
|---|---|---|
| BenchLeader Index | 67.6 | 62.6 |
| Agents & tools score | 69.5 | 62.9 |
| Coding score | 69.8 | 62.4 |
| Composite score | 72.6 | 67.7 |
| Knowledge score | 65.4 | 54.0 |
| Long context score | 66.6 | 64.3 |
| Maths score | 72.9 | 57.7 |
| Reasoning score | 81.1 | 70.2 |
| Human preference score | – | 67.0 |
| Instruction following score | – | 71.6 |
| Blended price $/M | $4.00 | $2.15 |
| Output speed | 141 tok/s | 82 tok/s |
| Time to first answer | 487.1 s | 28.4 s |
| Context window | 1M | 1M |
| GPQA Diamond | 95.6% | 91.9% |
| FrontierMath Tiers 1–3 | 88.8% | 59.2% |
| FrontierMath Tier 4 | 80.5% | 29.3% |
| OTIS Mock AIME | 100.0% | 86.4% |
| SWE-bench Verified (Epoch) | – | 78.7% |
| SimpleQA Verified | 46.5% | 34.2% |
| Terminal-Bench | 61.8% | – |
| SciCode | 61.0% | 50.5% |
| WeirdML | – | 70.1% |
| APEX-Agents | 75.5% | – |
| ProofBench | 100.0% | 35.0% |
| LMArena Text | – | 1475 |
| LMArena Hard Prompts | – | 1495 |
| LMArena Coding | – | 1512 |
| LMArena WebDev | – | 1603 |
| LMArena Agent | 12 | 3.2 |
| LiveBench | 75.7% | – |
| LiveBench Reasoning | 91.6% | – |
| LiveBench Coding | 91.4% | – |
| LiveBench Agentic Coding | 56.3% | – |
| LiveBench Mathematics | 96.1% | – |
| LiveBench Data Analysis | 59.5% | – |
| LiveBench Language | 78.0% | – |
| LiveBench Instruction Following | 56.8% | – |
| AA Intelligence Index v4.3.2 | 56 | 33.7 |
| IFBench | – | 73.3% |
| AA-LCR | 82.7% | 78.3% |
| AA-Omniscience | 32.3 | 4.4 |
| Terminal-Bench Hard | – | 50.8% |
| GPQA Diamond (AA) | – | 89.5% |
| Humanity's Last Exam (AA) | 55.0% | 41.1% |
| SciCode (AA) | 61.0% | 51.2% |
| τ²-Bench Telecom (AA) | – | 99.1% |
| Terminal-Bench 2.1 (Vals) | – | 67.8% |
| SWE-bench (Vals) | – | 82.8% |
| CritPt | 31.4% | 20.9% |
| GDPval-AA v2.1 | 67.0% | 43.7% |
| τ³-Banking (AA) | – | 34.6% |
| ITBench SRE (AA) | – | 42.7% |
| Analyst Agent (AA) | 57.5% | – |
| APEX-Agents (AA) | – | 33.7% |
| Code Migration | – | 37.9% |
| Legal Research Bench | – | 31.3% |
| ProgramBench | – | 0.5% |
| SkillsBench | – | 45.1% |
| SREBench | – | 0.0% |
| Vibe Code Bench v1.1 | – | 64.0% |
| LMArena Maths | – | 1486 |
| LMArena Creative Writing | – | 1453 |
| LMArena Instruction Following | – | 1469 |
| LMArena Multi-turn | – | 1475 |
| LMArena Longer Queries | – | 1486 |
| Chess Puzzles | – | 21.0% |
| EBR-bench | – | 9.5% |
| Mystery Game Puzzles | 65.0% | – |
| PostTrainBench | – | 31.7% |
| DeepSWE v1.1 | – | 43.8% |
| LMCA | – | 45.8% |
| DTBench | – | 93.6% |
| CursorBench | 55.5% | – |
| ALE-Bench | – | 1010.2 |
| FrontierSWE | 61.9% | – |
| Terminal-Bench 4.0 (AA) | 63.6% | 1.0% |
| Terminal-Bench 2.1 (AA) | – | 77.9% |
| AutomationBench | 71.8% | – |
| GDP.pdf | 25.8% | – |
| MLCR | 75.0% | – |
| Harvey LAB | 2.8% | – |
| AA-Omniscience: accuracy | 54.0% | 24.3% |
| AA-Omniscience: non-hallucination | 53.0% | 73.7% |
| AA-Briefcase v1.1 | 1823 | – |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Claude Sonnet 5.5 vs GLM 5.2: questions
- Is Claude Sonnet 5.5 better than GLM 5.2?
- Claude Sonnet 5.5 (max) leads on quality: 67.6 vs 62.6. The BenchLeader Index combines every independent quality benchmark; Claude Sonnet 5.5 (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is Claude Sonnet 5.5 better than GLM 5.2 for coding?
- Claude Sonnet 5.5 scores higher in coding (70 vs 62 on the category index, where 50 is average).
- Is Claude Sonnet 5.5 better than GLM 5.2 for agentic tasks?
- Claude Sonnet 5.5 scores higher in agentic tasks (70 vs 63 on the category index, where 50 is average).
- Which is cheaper, Claude Sonnet 5.5 or GLM 5.2?
- GLM 5.2 is cheaper: $2.15 against $4.00 per million tokens, blended at three input tokens per output token.
- Which is faster, Claude Sonnet 5.5 or GLM 5.2?
- Claude Sonnet 5.5 streams faster: 141 against 82 output tokens per second.
- Which has the larger context window?
- Both accept 1M tokens of context.