GLM-5.3vsGPT-5.6 Sol
Across 5 shared benchmarks, GPT-5.6 Sol leads overall: GLM-5.3 wins 1, GPT-5.6 Sol wins 4, with 0 ties and an average score difference of +0.82.
GLM-5.3
智谱AI · 2026-08-14 · Reasoning model
GPT-5.6 Sol
OpenAI · 2026-06-26 · Reasoning model
GLM-5.31 win(20%)(80%)4 winsGPT-5.6 Sol
Benchmark scores
Grouped by capability, sorted by largest gap within each. 5 shared benchmarks.
AI Agent - Tool Usage
GPT-5.6 Sol 2/2| Benchmark | GLM-5.3 | GPT-5.6 Sol | Diff |
|---|---|---|---|
| Terminal-Bench 3.0 | 28.303 / 6Max (With Tools) | 34.601 / 6Max (With Tools) | -6.30 |
| Terminal-Bench 2.1 | 88.203 / 43Max (With Tools) | 88.801 / 43最高（无工具） | -0.60 |
Agent Level Benchmark
GPT-5.6 Sol 1/1| Benchmark | GLM-5.3 | GPT-5.6 Sol | Diff |
|---|---|---|---|
| Agents' Last Exam | 28.504 / 10Max (With Tools) | 52.701 / 10极高强度思考（工具） | -24.20 |
Coding and Software Engineer
GPT-5.6 Sol 1/1| Benchmark | GLM-5.3 | GPT-5.6 Sol | Diff |
|---|---|---|---|
| DeepSWE | 66.908 / 26Max (With Tools) | 72.701 / 26极高强度思考（工具） | -5.80 |
Productivity Knowledge
GLM-5.3 1/1| Benchmark | GLM-5.3 | GPT-5.6 Sol | Diff |
|---|---|---|---|
| GDPval-AA v2 | 1,7692 / 13Max (With Tools) | 1,7285 / 13Max (With Tools) | +41 |
Specs
| Field | GLM-5.3 | GPT-5.6 Sol |
|---|---|---|
| Publisher | 智谱AI | OpenAI |
| Release date | 2026-08-14 | 2026-06-26 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | Dense |
| Parameters | 753.33B | Not available |
| Context length | 1M | 1.05M |
| Max output | 128K | 128K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | GLM-5.3 | GPT-5.6 Sol |
|---|---|---|
| Text input | Not public | $5 / 1M tokens |
| Text output | Not public | $30 / 1M tokens |
| Cache read | Not public | $0.5 / 1M tokens |
| Cache write | Not public | $6.25 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- GLM-5.3leads in:Productivity Knowledge (1/1)
- GPT-5.6 Solleads in:AI Agent - Tool Usage (2/2), Agent Level Benchmark (1/1), Coding and Software Engineer (1/1)
On average across the 5 shared benchmarks, GLM-5.3 scores 0.82 higher.
Largest single-benchmark gap: GDPval-AA v2 — GLM-5.3 1,769 vs GPT-5.6 Sol 1,728 (+41).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.