GLM 5.3 vs GPT-5.6 Terra
GLM 5.3 
GPT-5.6 Terra Verdict
- GPT-5.6 Terra (xhigh) leads on quality: 62.6 vs 60.0.
- GLM 5.3 (max) is stronger in coding, human preference, reasoning.
- GPT-5.6 Terra (xhigh) is stronger in agents & tools, knowledge, maths, composite, instruction following, long context, multimodal.
- GLM 5.3 (max) is 2.1× cheaper ($2.15 vs $4.50 per 1M blended).
- GPT-5.6 Terra (xhigh) streams 1.5× faster (97 vs 66 tokens per second).
| Metric | GLM 5.3 (max) | GPT-5.6 Terra (xhigh) |
|---|---|---|
| BenchLeader Index | 60.0 | 62.6 |
| Agents & tools score | 52.8 | 66.9 |
| Coding score | 64.3 | 61.5 |
| Human preference score | 68.9 | 66.5 |
| Knowledge score | 55.8 | 59.9 |
| Maths score | 60.0 | 71.0 |
| Reasoning score | 66.9 | 58.6 |
| Composite score | – | 70.6 |
| Instruction following score | – | 62.1 |
| Long context score | – | 63.5 |
| Multimodal score | – | 62.4 |
| Blended price $/M | $2.15 | $4.50 |
| Output speed | 66 tok/s | 97 tok/s |
| Time to first answer | 33.5 s | 24.9 s |
| Context window | 1M | 1.1M |
| 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% | – |
| SimpleBench | – | 48.9% |
| SciCode | 56.5% | 51.6% |
| WeirdML | 75.4% | – |
| ProofBench | 49.0% | 74.0% |
| LMArena Text | 1486 | 1466 |
| LMArena Hard Prompts | 1509 | 1489 |
| LMArena Coding | 1526 | 1518 |
| LMArena WebDev | 1614 | 1521 |
| LMArena Vision | – | 1269 |
| LMArena Agent | 2.6 | 1.5 |
| AA Intelligence Index | – | 38.2 |
| IFBench | – | 66.3% |
| AA-LCR | – | 79.0% |
| MMMU-Pro | – | 79.5% |
| AA-Omniscience | – | -3.0 |
| Terminal-Bench Hard | – | 62.9% |
| GPQA Diamond (AA) | – | 90.8% |
| Humanity's Last Exam (AA) | – | 41.9% |
| SciCode (AA) | – | 52.3% |
| τ²-Bench Telecom (AA) | – | 80.4% |
| LiveCodeBench | 80.5% | 85.9% |
| MMLU-Pro | 86.8% | 86.7% |
| IOI | 68.4% | – |
| LegalBench | 84.8% | – |
| CorpFin | – | 65.3% |
| TaxEval | 72.4% | 76.2% |
| Terminal-Bench 2.1 (Vals) | 71.5% | – |
| SWE-bench (Vals) | 95.4% | – |
| GPQA Diamond (Vals) | 88.1% | 90.9% |
| Vals Index | 57.0 | – |
| ARC-AGI-1 | – | 94.0% |
| ARC-AGI-2 | – | 74.2% |
| ARC-AGI-3 | – | 0.7% |
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-5.6 Terra: questions
- Is GLM 5.3 better than GPT-5.6 Terra?
- GPT-5.6 Terra (xhigh) leads on quality: 62.6 vs 60.0. The BenchLeader Index combines every independent quality benchmark; GPT-5.6 Terra (xhigh) is ahead overall as of 2026-09-13, but check the category scores for your use.
- Is GLM 5.3 better than GPT-5.6 Terra for coding?
- GLM 5.3 scores higher in coding (64 vs 62 on the category index, where 50 is average).
- Is GLM 5.3 better than GPT-5.6 Terra for agentic tasks?
- GPT-5.6 Terra scores higher in agentic tasks (67 vs 53 on the category index, where 50 is average).
- Which is cheaper, GLM 5.3 or GPT-5.6 Terra?
- GLM 5.3 is cheaper: $2.15 against $4.50 per million tokens, blended at three input tokens per output token.
- Which is faster, GLM 5.3 or GPT-5.6 Terra?
- GPT-5.6 Terra streams faster: 97 against 66 output tokens per second.
- Which has the larger context window?
- GPT-5.6 Terra accepts more context: 1.1M against 1M tokens.