GLM 5.3 vs Grok 4
GLM 5.3 
Grok 4 Verdict
- GLM 5.3 (max) and Grok 4 are level on quality (60.0 vs 59.8).
- GLM 5.3 (max) is stronger in coding, human preference, maths, reasoning.
- Grok 4 is stronger in agents & tools, knowledge, instruction following, long context, multimodal.
- Grok 4 is 1.4× cheaper ($1.56 vs $2.15 per 1M blended).
| Metric | GLM 5.3 (max) | Grok 4 |
|---|---|---|
| BenchLeader Index | 60.0 | 59.8 |
| Agents & tools score | 52.8 | 53.4 |
| Coding score | 64.3 | 61.2 |
| Human preference score | 68.9 | 59.8 |
| Knowledge score | 55.8 | 56.0 |
| Maths score | 60.0 | 58.0 |
| Reasoning score | 66.9 | 58.3 |
| Instruction following score | – | 67.7 |
| Long context score | – | 77.7 |
| Multimodal score | – | 54.5 |
| Blended price $/M | $2.15 | $1.56 |
| Output speed | 66 tok/s | – |
| Time to first answer | 33.5 s | – |
| Context window | 1M | 256k |
| GPQA Diamond | 90.9% | 87.0% |
| FrontierMath Tiers 1–3 | 68.8% | – |
| FrontierMath Tier 4 | 29.3% | – |
| OTIS Mock AIME | 91.1% | 84.0% |
| SimpleQA Verified | 41.0% | – |
| Terminal-Bench | 41.8% | 27.2% |
| SimpleBench | – | 60.5% |
| Fiction.LiveBench 120k | – | 96.9% |
| SciCode | 56.5% | – |
| Cybench | – | 43.0% |
| WeirdML | 75.4% | 45.7% |
| APEX-Agents | – | 15.2% |
| ProofBench | 49.0% | – |
| Epoch Capabilities Index | – | 146.4 |
| LMArena Text | 1486 | 1411 |
| LMArena Hard Prompts | 1509 | 1420 |
| LMArena Coding | 1526 | 1435 |
| LMArena WebDev | 1614 | – |
| LMArena Vision | – | 1210 |
| LMArena Agent | 2.6 | – |
| AIME (Vals) | – | 90.6% |
| LiveCodeBench | 80.5% | 83.3% |
| MMLU-Pro | 86.8% | 85.3% |
| IOI | 68.4% | – |
| LegalBench | 84.8% | 83.2% |
| CorpFin | – | 66.0% |
| TaxEval | 72.4% | 65.1% |
| MedQA | – | 92.5% |
| MGSM | – | 90.9% |
| Terminal-Bench 2.1 (Vals) | 71.5% | – |
| SWE-bench (Vals) | 95.4% | 57.8% |
| GPQA Diamond (Vals) | 88.1% | 88.1% |
| Vals Index | 57.0 | – |
| IMO 2025 | – | 21.4% |
| MathArena Apex | – | 2.1% |
| Kagi LLM Benchmark | – | 73.6% |
| IFEval (HELM) | – | 94.9% |
| Omni-MATH (HELM) | – | 60.3% |
| WildBench (HELM) | – | 79.7% |
| MMLU-Pro (HELM) | – | 85.1% |
| GPQA Diamond (HELM) | – | 72.6% |
| HELM Capabilities mean | – | 78.5% |
| Aider Polyglot | – | 79.6% |
| ARC-AGI-1 | – | 79.6% |
| ARC-AGI-2 | – | 29.4% |
| BFCL Overall | – | 63.0% |
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 Grok 4: questions
- Is GLM 5.3 better than Grok 4?
- GLM 5.3 (max) and Grok 4 are level on quality (60.0 vs 59.8). 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 Grok 4 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 Grok 4 for agentic tasks?
- Grok 4 scores higher in agentic tasks (53 vs 53 on the category index, where 50 is average).
- Which is cheaper, GLM 5.3 or Grok 4?
- Grok 4 is cheaper: $1.56 against $2.15 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- GLM 5.3 accepts more context: 1M against 256k tokens.