Claude Opus 5vsGLM-5.2
Across 3 shared benchmarks, Claude Opus 5 leads overall: Claude Opus 5 wins 3, GLM-5.2 wins 0, with 0 ties and an average score difference of +17.30.
Claude Opus 5
Anthropic · 2026-07-24 · Reasoning model
GLM-5.2
智谱AI · 2026-06-13 · Reasoning model
Claude Opus 53 wins(100%)(0%)0 winsGLM-5.2
Benchmark scores
Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.
Coding and Software Engineer
Claude Opus 5 2/2| Benchmark | Claude Opus 5 | GLM-5.2 | Diff |
|---|---|---|---|
| DeepSWE | 68.804 / 19Max (With Tools) | 4414 / 19Deep Thinking (With Tools) | +24.80 |
| SWE-Bench Pro - Public | 79.202 / 54Max (With Tools) | 62.108 / 54Thinking (With Tools) | +17.10 |
General Knowledge
Claude Opus 5 1/1| Benchmark | Claude Opus 5 | GLM-5.2 | Diff |
|---|---|---|---|
| HLE | 64.701 / 172Max (With Tools) | 54.7013 / 172Thinking (With Tools) | +10 |
Specs
| Field | Claude Opus 5 | GLM-5.2 |
|---|---|---|
| Publisher | Anthropic | 智谱AI |
| Release date | 2026-07-24 | 2026-06-13 |
| Model type | Reasoning model | Reasoning model |
| Architecture | Dense | MoE |
| Parameters | Not available | 753.33B |
| Context length | 1M | 1M |
| Max output | 128K | 128K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Claude Opus 5 | GLM-5.2 |
|---|---|---|
| Text input | $5 / 1M tokens | $1.4 / 1M tokens |
| Text output | $25 / 1M tokens | $4.4 / 1M tokens |
| Cache read | $0.5 / 1M tokens | $0.26 / 1M tokens |
| Cache write | $6.25 / 1M tokens | Not public |
Summary
- Claude Opus 5leads in:Coding and Software Engineer (2/2), General Knowledge (1/1)
On average across the 3 shared benchmarks, Claude Opus 5 scores 17.30 higher.
Largest single-benchmark gap: DeepSWE — Claude Opus 5 68.80 vs GLM-5.2 44 (+24.80).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.