GLM 5.2 vs Grok 4.7
GLM 5.2 
Grok 4.7 Verdict
- Grok 4.7 (high) leads on quality: 65.8 vs 63.8.
- GLM 5.2 (max) is stronger in agents & tools, coding, human preference, instruction following, long context, maths.
- Grok 4.7 (high) is stronger in composite, knowledge, reasoning.
- GLM 5.2 (max) is 1.4× cheaper ($2.15 vs $3.00 per 1M blended).
- GLM 5.2 (max) streams 1.3× faster (73 vs 55 tokens per second).
| Metric | GLM 5.2 (max) | Grok 4.7 (high) |
|---|---|---|
| BenchLeader Index | 63.8 | 65.8 |
| Agents & tools score | 63.8 | – |
| Coding score | 63.8 | – |
| Composite score | 71.5 | 87.5 |
| Human preference score | 67.2 | – |
| Instruction following score | 71.6 | – |
| Knowledge score | 55.4 | 72.6 |
| Long context score | 65.5 | 64.8 |
| Maths score | 59.0 | – |
| Reasoning score | 72.8 | 76.4 |
| Blended price $/M | $2.15 | $3.00 |
| Output speed | 73 tok/s | 55 tok/s |
| Time to first answer | 33.5 s | 1.4 s |
| Context window | 1M | 500k |
| 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% | – |
| SciCode | 50.5% | – |
| WeirdML | 70.1% | – |
| ProofBench | 35.0% | – |
| LMArena Text | 1472 | – |
| LMArena Hard Prompts | 1493 | – |
| LMArena Coding | 1510 | – |
| LMArena WebDev | 1592 | – |
| LMArena Agent | 4.4 | – |
| AA Intelligence Index | 33.7 | 46.3 |
| IFBench | 73.3% | – |
| AA-LCR | 78.3% | 77.0% |
| AA-Omniscience | 4.4 | 30.9 |
| Terminal-Bench Hard | 50.8% | – |
| GPQA Diamond (AA) | 89.5% | – |
| Humanity's Last Exam (AA) | 41.1% | 42.3% |
| SciCode (AA) | 51.2% | 57.8% |
| τ²-Bench Telecom (AA) | 99.1% | – |
| LegalBench | – | 85.1% |
| Terminal-Bench 2.1 (Vals) | 67.8% | – |
| SWE-bench (Vals) | 82.8% | – |
| CritPt | 20.9% | 18.0% |
| GDPval (AA) | 42.9% | 59.7% |
| τ²-Bench Banking (AA) | 34.6% | – |
| ITBench SRE (AA) | 42.7% | – |
| APEX-Agents (AA) | 33.7% | – |
| Code Migration | 37.9% | 34.7% |
| Excel Modeling Benchmark | – | 54.9% |
| Harvey's Legal Agent Benchmark | 7.1% | 19.6% |
| Legal Research Bench | 31.3% | 39.9% |
| MedCode | – | 48.7% |
| MedScribe | – | 87.2% |
| ProgramBench | 0.5% | 0.0% |
| Public Benefits Bench | – | 68.5% |
| SAGE | – | 31.0% |
| SkillsBench | 45.1% | – |
| SREBench | 0.0% | – |
| Vibe Code Bench v1.1 | 64.0% | – |
| LMArena Maths | 1480 | – |
| LMArena Creative Writing | 1451 | – |
| LMArena Instruction Following | 1466 | – |
| LMArena Multi-turn | 1469 | – |
| LMArena Longer Queries | 1483 | – |
| Chess Puzzles | 21.0% | – |
| EBR-bench | 9.5% | – |
| PostTrainBench | 31.7% | – |
| DeepSWE | 43.8% | – |
| LMCA | 45.8% | – |
| DTBench | 93.6% | – |
| CursorBench | 55.0% | – |
| ALE-Bench | 1010.2 | – |
Data as of 2026-09-21. Best configuration of each model; every score links to its source on the model pages.
GLM 5.2 vs Grok 4.7: questions
- Is GLM 5.2 better than Grok 4.7?
- Grok 4.7 (high) leads on quality: 65.8 vs 63.8. The BenchLeader Index combines every independent quality benchmark; Grok 4.7 (high) is ahead overall as of 2026-09-21, but check the category scores for your use.
- Which is cheaper, GLM 5.2 or Grok 4.7?
- GLM 5.2 is cheaper: $2.15 against $3.00 per million tokens, blended at three input tokens per output token.
- Which is faster, GLM 5.2 or Grok 4.7?
- GLM 5.2 streams faster: 73 against 55 output tokens per second.
- Which has the larger context window?
- GLM 5.2 accepts more context: 1M against 500k tokens.