GLM 5.3 Flash vs GPT-5
GLM 5.3 Flash 
GPT-5 Verdict
- GLM 5.3 Flash and GPT-5 are level on quality (61.0 vs 60.8).
- GLM 5.3 Flash is stronger in agents & tools, coding, composite, human preference, knowledge, long context, multimodal, reasoning.
- GPT-5 is stronger in instruction following, maths.
- GLM 5.3 Flash is 29× cheaper ($0.119 vs $3.44 per 1M blended).
| Metric | GLM 5.3 Flash | GPT-5 |
|---|---|---|
| BenchLeader Index | 61.0 | 60.8 |
| Agents & tools score | 51.5 | 51.0 |
| Coding score | 64.0 | 60.9 |
| Composite score | 61.8 | 58.1 |
| Human preference score | 67.6 | 61.7 |
| Knowledge score | 67.8 | 62.2 |
| Long context score | 66.5 | 65.6 |
| Multimodal score | 65.5 | 59.6 |
| Reasoning score | 67.5 | 64.2 |
| Instruction following score | – | 65.0 |
| Maths score | – | 72.8 |
| Blended price $/M | $0.119 | $3.44 |
| Output speed | 98 tok/s | 85 tok/s |
| Time to first answer | 22.9 s | 60.7 s |
| Context window | 1M | 400k |
| Terminal-Bench | – | 49.6% |
| SciCode | 46.1% | 42.9% |
| Remote Labor Index | – | 1.7% |
| WeirdML | – | 39.8% |
| APEX-Agents | – | 18.3% |
| Epoch Capabilities Index | 151.4 | 150 |
| LMArena Text | 1475 | 1427 |
| LMArena Hard Prompts | 1497 | 1449 |
| LMArena Coding | 1524 | 1462 |
| LMArena WebDev | 1607 | – |
| LMArena Vision | 1296 | 1232 |
| LMArena Agent | 1.9 | – |
| 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 | 23.0 |
| IFBench | – | 73.1% |
| AA-LCR | 80.0% | 78.2% |
| MMMU-Pro | – | 74.2% |
| AA-Omniscience | 7.5 | -8.7 |
| Terminal-Bench Hard | – | 32.6% |
| GPQA Diamond (AA) | 91.2% | 85.3% |
| Humanity's Last Exam (AA) | 39.9% | 28.5% |
| SciCode (AA) | 51.6% | – |
| τ²-Bench Telecom (AA) | – | 84.8% |
| PRBench Finance | – | 51.3% |
| PRBench Legal | – | 49.0% |
| VISTA | – | 49.7% |
| MultiNRC | – | 52.1% |
| TutorBench | – | 55.3% |
| Kagi LLM Benchmark | – | 72.7% |
| IFEval (HELM) | – | 87.5% |
| Omni-MATH (HELM) | – | 64.7% |
| WildBench (HELM) | – | 85.7% |
| MMLU-Pro (HELM) | – | 86.3% |
| GPQA Diamond (HELM) | – | 79.1% |
| HELM Capabilities mean | – | 80.7% |
| Aider Polyglot | – | 88.0% |
| SWE-bench Verified (any scaffold) | – | 75.6% |
Data as of 2026-09-12. Best configuration of each model; every score links to its source on the model pages.
GLM 5.3 Flash vs GPT-5: questions
- Is GLM 5.3 Flash better than GPT-5?
- GLM 5.3 Flash and GPT-5 are level on quality (61.0 vs 60.8). The BenchLeader Index combines every independent quality benchmark; GLM 5.3 Flash is ahead overall as of 2026-09-12, but check the category scores for your use.
- Is GLM 5.3 Flash better than GPT-5 for coding?
- GLM 5.3 Flash scores higher in coding (64 vs 61 on the category index, where 50 is average).
- Is GLM 5.3 Flash better than GPT-5 for agentic tasks?
- GLM 5.3 Flash scores higher in agentic tasks (52 vs 51 on the category index, where 50 is average).
- Which is cheaper, GLM 5.3 Flash or GPT-5?
- GLM 5.3 Flash is cheaper: $0.119 against $3.44 per million tokens, blended at three input tokens per output token.
- Which is faster, GLM 5.3 Flash or GPT-5?
- GLM 5.3 Flash streams faster: 98 against 85 output tokens per second.
- Which has the larger context window?
- GLM 5.3 Flash accepts more context: 1M against 400k tokens.