GLM 5.3 vs GPT-5
GLM 5.3 
GPT-5 Verdict
- GLM 5.3 (max) and GPT-5 are level on quality (60.0 vs 59.7).
- GLM 5.3 (max) is stronger in agents & tools, coding, human preference, reasoning.
- GPT-5 is stronger in knowledge, maths, composite, instruction following, long context, multimodal.
- GLM 5.3 (max) is 1.6× cheaper ($2.15 vs $3.44 per 1M blended).
- GPT-5 streams 1.6× faster (106 vs 66 tokens per second).
| Metric | GLM 5.3 (max) | GPT-5 |
|---|---|---|
| BenchLeader Index | 60.0 | 59.7 |
| Agents & tools score | 52.8 | 50.0 |
| Coding score | 64.3 | 60.9 |
| Human preference score | 68.9 | 61.7 |
| Knowledge score | 55.8 | 60.8 |
| Maths score | 60.0 | 72.8 |
| Reasoning score | 66.9 | 64.2 |
| Composite score | – | 52.8 |
| Instruction following score | – | 64.0 |
| Long context score | – | 63.0 |
| Multimodal score | – | 58.9 |
| Blended price $/M | $2.15 | $3.44 |
| Output speed | 66 tok/s | 106 tok/s |
| Time to first answer | 33.5 s | 54.4 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% | – |
| Terminal-Bench | 41.8% | 49.6% |
| SciCode | 56.5% | 42.9% |
| Remote Labor Index | – | 1.7% |
| WeirdML | 75.4% | 39.8% |
| APEX-Agents | – | 18.3% |
| ProofBench | 49.0% | – |
| Epoch Capabilities Index | – | 150 |
| LMArena Text | 1486 | 1427 |
| LMArena Hard Prompts | 1509 | 1449 |
| LMArena Coding | 1526 | 1462 |
| LMArena WebDev | 1614 | – |
| LMArena Vision | – | 1232 |
| LMArena Agent | 2.6 | – |
| AA Intelligence Index | – | 23.0 |
| IFBench | – | 73.1% |
| AA-LCR | – | 78.2% |
| MMMU-Pro | – | 74.2% |
| AA-Omniscience | – | -8.7 |
| Terminal-Bench Hard | – | 32.6% |
| GPQA Diamond (AA) | – | 85.3% |
| Humanity's Last Exam (AA) | – | 28.5% |
| 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 | – |
| 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 2026-09-13. Best configuration of each model; every score links to its source on the model pages.
GLM 5.3 vs GPT-5: questions
- Is GLM 5.3 better than GPT-5?
- GLM 5.3 (max) and GPT-5 are level on quality (60.0 vs 59.7). The BenchLeader Index combines every independent quality benchmark; GLM 5.3 (max) is ahead overall as of 2026-09-13, but check the category scores for your use.
- Is GLM 5.3 better than GPT-5 for coding?
- GLM 5.3 scores higher in coding (64 vs 61 on the category index, where 50 is average).
- Is GLM 5.3 better than GPT-5 for agentic tasks?
- GLM 5.3 scores higher in agentic tasks (53 vs 50 on the category index, where 50 is average).
- Which is cheaper, GLM 5.3 or GPT-5?
- GLM 5.3 is cheaper: $2.15 against $3.44 per million tokens, blended at three input tokens per output token.
- Which is faster, GLM 5.3 or GPT-5?
- GPT-5 streams faster: 106 against 66 output tokens per second.
- Which has the larger context window?
- GLM 5.3 accepts more context: 1M against 400k tokens.