Kimi K3vsGLM-5.2
Across 4 shared benchmarks, Kimi K3 leads overall: Kimi K3 wins 4, GLM-5.2 wins 0, with 0 ties and an average score difference of +8.60.
Kimi K34 wins(100%)(0%)0 winsGLM-5.2
Benchmark scores
Grouped by capability, sorted by largest gap within each. 4 shared benchmarks.
General Knowledge
Kimi K3 2/2| Benchmark | Kimi K3 | GLM-5.2 | Diff |
|---|---|---|---|
| GPQA Diamond | 93.508 / 187最高（无工具） | 91.2016 / 187Thinking (No Tools) | +2.30 |
| HLE | 5610 / 170Max (With Tools) | 54.7011 / 170Thinking (With Tools) | +1.30 |
AI Agent - Tool Usage
Kimi K3 1/1| Benchmark | Kimi K3 | GLM-5.2 | Diff |
|---|---|---|---|
| TerminalBench 2.1 | 88.302 / 25Max (With Tools) | 819 / 25Thinking High (With Tools) | +7.30 |
Coding and Software Engineer
Kimi K3 1/1| Benchmark | Kimi K3 | GLM-5.2 | Diff |
|---|---|---|---|
| DeepSWE | 67.504 / 17Max (With Tools) | 4412 / 17Deep Thinking (With Tools) | +23.50 |
Specs
| Field | Kimi K3 | GLM-5.2 |
|---|---|---|
| Publisher | Moonshot AI | 智谱AI |
| Release date | 2026-07-16 | 2026-06-13 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 2.8T | 753.33B |
| Context length | 1M | 1M |
| Max output | 1M | 128K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Kimi K3 | GLM-5.2 |
|---|---|---|
| Text input | ¥20 / 1M tokens | $1.4 / 1M tokens |
| Text output | ¥100 / 1M tokens | $4.4 / 1M tokens |
| Cache read | ¥2 / 1M tokens | $0.26 / 1M tokens |
Summary
- Kimi K3leads in:General Knowledge (2/2), AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1)
On average across the 4 shared benchmarks, Kimi K3 scores 8.60 higher.
Largest single-benchmark gap: DeepSWE — Kimi K3 67.50 vs GLM-5.2 44 (+23.50).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.