GLM-5.3vsGrok 4.6
Across 3 shared benchmarks, GLM-5.3 leads overall: GLM-5.3 wins 3, Grok 4.6 wins 0, with 0 ties and an average score difference of +6.43.
GLM-5.33 wins(100%)(0%)0 winsGrok 4.6
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
AI Agent - Tool Usage
GLM-5.3 1/1| Benchmark | GLM-5.3 | Grok 4.6 | Diff |
|---|---|---|---|
| Terminal-Bench 3.0 | 28.303 / 6Max (With Tools) | 264 / 6Thinking High (With Tools) | +2.30 |
Coding and Software Engineer
GLM-5.3 1/1| Benchmark | GLM-5.3 | Grok 4.6 | Diff |
|---|---|---|---|
| DeepSWE | 66.908 / 27Max (With Tools) | 65.909 / 27Thinking High (With Tools) | +1 |
Productivity Knowledge
GLM-5.3 1/1| Benchmark | GLM-5.3 | Grok 4.6 | Diff |
|---|---|---|---|
| GDPval-AA v2 | 1,7692 / 13Max (With Tools) | 1,7533 / 13Thinking High (With Tools) | +16 |
Specs
| Field | GLM-5.3 | Grok 4.6 |
|---|---|---|
| Publisher | 智谱AI | xAI |
| Release date | 2026-08-14 | 2026-08-12 |
| Model type | Reasoning model | Coding model |
| Architecture | MoE | Dense |
| Parameters | 753.33B | Not available |
| Context length | 1M | 500K |
| Max output | 128K | Not available |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | GLM-5.3 | Grok 4.6 |
|---|---|---|
| Text input | Not public | $2 / 1M tokens |
| Text output | Not public | $6 / 1M tokens |
| Cache read | Not public | $0.5 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- GLM-5.3leads in:AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1), Productivity Knowledge (1/1)
On average across the 3 shared benchmarks, GLM-5.3 scores 6.43 higher.
Largest single-benchmark gap: GDPval-AA v2 — GLM-5.3 1,769 vs Grok 4.6 1,753 (+16).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.