GLM-5.3vsDeepSeek-V4-Pro
Across 8 shared benchmarks, GLM-5.3 leads overall: GLM-5.3 wins 6, DeepSeek-V4-Pro wins 2, with 0 ties and an average score difference of +9.39.
GLM-5.3
智谱AI · 2026-08-14 · Reasoning model
DeepSeek-V4-Pro
DeepSeek-AI · 2026-08-13 · Reasoning model
GLM-5.36 wins(75%)(25%)2 winsDeepSeek-V4-Pro
Benchmark scores
Grouped by capability, sorted by largest gap within each. 8 shared benchmarks.
AI Agent - Tool Usage
GLM-5.3 3/4| Benchmark | GLM-5.3 | DeepSeek-V4-Pro | Diff |
|---|---|---|---|
| Automation Bench | 48.201 / 7Max (With Tools) | 31.802 / 7极高强度思考（工具） | +16.40 |
| CyberGym | 84.501 / 3Max (With Tools) | 83.302 / 3极高强度思考（工具） | +1.20 |
| Toolathlon-Verified | 733 / 5Max (With Tools) | 74.102 / 5极高强度思考（工具） | -1.10 |
| Terminal-Bench 2.1 | 88.203 / 43Max (With Tools) | 87.906 / 43极高强度思考（工具） | +0.30 |
Coding and Software Engineer
Even 2/2| Benchmark | GLM-5.3 | DeepSeek-V4-Pro | Diff |
|---|---|---|---|
| DeepSWE | 66.908 / 26Max (With Tools) | 62.7011 / 26极高强度思考（工具） | +4.20 |
| NL2Repo-Bench | 582 / 7Max (With Tools) | 61.501 / 7极高强度思考（工具） | -3.50 |
Agent Level Benchmark
GLM-5.3 1/1| Benchmark | GLM-5.3 | DeepSeek-V4-Pro | Diff |
|---|---|---|---|
| Agents' Last Exam | 28.504 / 10Max (With Tools) | 25.708 / 10极高强度思考（工具） | +2.80 |
General Knowledge
GLM-5.3 1/1| Benchmark | GLM-5.3 | DeepSeek-V4-Pro | Diff |
|---|---|---|---|
| HLE | 62.503 / 181Max (With Tools) | 7.70165 / 181Normal (No Tools) | +54.80 |
Specs
| Field | GLM-5.3 | DeepSeek-V4-Pro |
|---|---|---|
| Publisher | 智谱AI | DeepSeek-AI |
| Release date | 2026-08-14 | 2026-08-13 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 753.33B | 1.6T |
| Context length | 1M | 1M |
| Max output | 128K | 384K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | GLM-5.3 | DeepSeek-V4-Pro |
|---|---|---|
| Text input | Not public | $0.435 / 1M tokens |
| Text output | Not public | $0.87 / 1M tokens |
| Cache read | Not public | $0.003625 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- GLM-5.3leads in:AI Agent - Tool Usage (3/4), Agent Level Benchmark (1/1), General Knowledge (1/1)
- Tied in:Coding and Software Engineer
On average across the 8 shared benchmarks, GLM-5.3 scores 9.39 higher.
Largest single-benchmark gap: HLE — GLM-5.3 62.50 vs DeepSeek-V4-Pro 7.70 (+54.80).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.