GLM 5.3 vs GPT-5.2
GLM 5.3 
GPT-5.2 Verdict
- GLM 5.3 (max) and GPT-5.2 are level on quality (60.0 vs 60.3).
- GLM 5.3 (max) is stronger in coding, human preference, maths, reasoning.
- GPT-5.2 is stronger in agents & tools, knowledge, composite, instruction following, long context, multimodal.
- GLM 5.3 (max) is 2.2× cheaper ($2.15 vs $4.81 per 1M blended).
| Metric | GLM 5.3 (max) | GPT-5.2 |
|---|---|---|
| BenchLeader Index | 60.0 | 60.3 |
| Agents & tools score | 52.8 | 60.4 |
| Coding score | 64.3 | 53.7 |
| Human preference score | 68.9 | 67.8 |
| Knowledge score | 55.8 | 58.8 |
| Maths score | 60.0 | – |
| Reasoning score | 66.9 | 61.3 |
| Composite score | – | 61.6 |
| Instruction following score | – | 65.4 |
| Long context score | – | 65.6 |
| Multimodal score | – | 59.9 |
| Blended price $/M | $2.15 | $4.81 |
| Output speed | 66 tok/s | 72 tok/s |
| Time to first answer | 33.5 s | 90.8 s |
| Context window | 1M | 400k |
| GPQA Diamond | 90.9% | – |
| FrontierMath Tiers 1–3 | 68.8% | – |
| FrontierMath Tier 4 | 29.3% | – |
| OTIS Mock AIME | 91.1% | – |
| SimpleQA Verified | 41.0% | – |
| Humanity's Last Exam | – | 27.8% |
| Terminal-Bench | 41.8% | 64.9% |
| SimpleBench | – | 45.8% |
| SciCode | 56.5% | – |
| Remote Labor Index | – | 2.1% |
| WeirdML | 75.4% | – |
| APEX-Agents | – | 23.0% |
| ProofBench | 49.0% | – |
| Epoch Capabilities Index | – | 153.5 |
| LMArena Text | 1486 | 1476 |
| LMArena Hard Prompts | 1509 | 1497 |
| LMArena Coding | 1526 | 1515 |
| LMArena WebDev | 1614 | 1417 |
| LMArena Vision | – | 1268 |
| LMArena Agent | 2.6 | – |
| AA Intelligence Index | – | 30.4 |
| IFBench | – | 75.4% |
| AA-LCR | – | 82.7% |
| AA-Omniscience | – | -0.9 |
| Terminal-Bench Hard | – | 47.0% |
| GPQA Diamond (AA) | – | 90.3% |
| Humanity's Last Exam (AA) | – | 37.7% |
| τ²-Bench Telecom (AA) | – | 84.8% |
| LiveCodeBench | 80.5% | – |
| MMLU-Pro | 86.8% | – |
| IOI | 68.4% | – |
| LegalBench | 84.8% | – |
| TaxEval | 72.4% | – |
| Terminal-Bench 2.1 (Vals) | 71.5% | – |
| SWE-bench (Vals) | 95.4% | – |
| GPQA Diamond (Vals) | 88.1% | – |
| Vals Index | 57.0 | – |
| SWE-Bench Pro | – | 29.9% |
| VISTA | – | 46.6% |
| MultiNRC | – | 42.2% |
| TutorBench | – | 53.5% |
| Kagi LLM Benchmark | – | 73.3% |
| SWE-bench Verified (bash only) | – | 69.0% |
| ARC-AGI-1 | – | 94.5% |
| ARC-AGI-2 | – | 72.9% |
| BFCL Overall | – | 55.9% |
Data as of 2026-09-13. Best configuration of each model; every score links to its source on the model pages.
GLM 5.3 vs GPT-5.2: questions
- Is GLM 5.3 better than GPT-5.2?
- GLM 5.3 (max) and GPT-5.2 are level on quality (60.0 vs 60.3). The BenchLeader Index combines every independent quality benchmark; GPT-5.2 is ahead overall as of 2026-09-13, but check the category scores for your use.
- Is GLM 5.3 better than GPT-5.2 for coding?
- GLM 5.3 scores higher in coding (64 vs 54 on the category index, where 50 is average).
- Is GLM 5.3 better than GPT-5.2 for agentic tasks?
- GPT-5.2 scores higher in agentic tasks (60 vs 53 on the category index, where 50 is average).
- Which is cheaper, GLM 5.3 or GPT-5.2?
- GLM 5.3 is cheaper: $2.15 against $4.81 per million tokens, blended at three input tokens per output token.
- Which is faster, GLM 5.3 or GPT-5.2?
- GPT-5.2 streams faster: 72 against 66 output tokens per second.
- Which has the larger context window?
- GLM 5.3 accepts more context: 1M against 400k tokens.