GLM 5.3 Flash vs GPT-5.2
GLM 5.3 Flash 
GPT-5.2 Verdict
- GLM 5.3 Flash and GPT-5.2 are level on quality (61.1 vs 61.6).
- GLM 5.3 Flash is stronger in coding, knowledge, multimodal, reasoning.
- GPT-5.2 is stronger in agents & tools, composite, human preference, long context, instruction following.
- GLM 5.3 Flash is 40× cheaper ($0.119 vs $4.81 per 1M blended).
- GLM 5.3 Flash streams 1.3× faster (90 vs 68 tokens per second).
| Metric | GLM 5.3 Flash | GPT-5.2 |
|---|---|---|
| BenchLeader Index | 61.1 | 61.6 |
| Agents & tools score | 52.1 | 61.2 |
| Coding score | 64.3 | 53.7 |
| Composite score | 61.7 | 67.5 |
| Human preference score | 67.6 | 67.9 |
| Knowledge score | 67.7 | 61.1 |
| Long context score | 66.6 | 67.9 |
| Multimodal score | 65.5 | 59.9 |
| Reasoning score | 67.5 | 61.3 |
| Instruction following score | – | 67.4 |
| Blended price $/M | $0.119 | $4.81 |
| Output speed | 90 tok/s | 68 tok/s |
| Time to first answer | 24.9 s | 129.4 s |
| Context window | 1M | 400k |
| Humanity's Last Exam | – | 27.8% |
| Terminal-Bench | – | 64.9% |
| SimpleBench | – | 45.8% |
| SciCode | 46.1% | – |
| Remote Labor Index | – | 2.1% |
| APEX-Agents | – | 23.0% |
| Epoch Capabilities Index | 151.4 | 153.5 |
| LMArena Text | 1474 | 1476 |
| LMArena Hard Prompts | 1496 | 1497 |
| LMArena Coding | 1534 | 1515 |
| LMArena WebDev | 1605 | 1417 |
| LMArena Vision | 1296 | 1268 |
| LMArena Agent | 2 | – |
| LiveBench | 71.6% | – |
| LiveBench Reasoning | 77.6% | – |
| LiveBench Coding | 79.0% | – |
| LiveBench Agentic Coding | 56.8% | – |
| LiveBench Mathematics | 81.2% | – |
| LiveBench Data Analysis | 76.4% | – |
| LiveBench Language | 77.3% | – |
| AA Intelligence Index | 41.9 | 30.4 |
| IFBench | – | 75.4% |
| AA-LCR | 80.0% | 82.7% |
| AA-Omniscience | 7.5 | -0.9 |
| Terminal-Bench Hard | – | 47.0% |
| GPQA Diamond (AA) | 91.2% | 90.3% |
| Humanity's Last Exam (AA) | 39.9% | 37.7% |
| SciCode (AA) | 51.6% | – |
| τ²-Bench Telecom (AA) | – | 84.8% |
| 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 2026-09-10. Best configuration of each model; every score links to its source on the model pages.
GLM 5.3 Flash vs GPT-5.2: questions
- Is GLM 5.3 Flash better than GPT-5.2?
- GLM 5.3 Flash and GPT-5.2 are level on quality (61.1 vs 61.6). The BenchLeader Index combines every independent quality benchmark; GPT-5.2 is ahead overall as of 2026-09-10, but check the category scores for your use.
- Is GLM 5.3 Flash better than GPT-5.2 for coding?
- GLM 5.3 Flash scores higher in coding (64 vs 54 on the category index, where 50 is average).
- Is GLM 5.3 Flash better than GPT-5.2 for agentic tasks?
- GPT-5.2 scores higher in agentic tasks (61 vs 52 on the category index, where 50 is average).
- Which is cheaper, GLM 5.3 Flash or GPT-5.2?
- GLM 5.3 Flash is cheaper: $0.119 against $4.81 per million tokens, blended at three input tokens per output token.
- Which is faster, GLM 5.3 Flash or GPT-5.2?
- GLM 5.3 Flash streams faster: 90 against 68 output tokens per second.
- Which has the larger context window?
- GLM 5.3 Flash accepts more context: 1M against 400k tokens.