GLM-5vsKimi K2.5
Across 17 shared benchmarks, GLM-5 leads overall: GLM-5 wins 10, Kimi K2.5 wins 7, with 0 ties and an average score difference of +1.06.
GLM-510 wins(59%)(41%)7 winsKimi K2.5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 17 shared benchmarks.
General Knowledge
Kimi K2.5 4/5| Benchmark | GLM-5 | Kimi K2.5 | Diff |
|---|---|---|---|
| ARC-AGI | 44.7047 / 68Thinking (No Tools) | 65.3034 / 68Thinking (No Tools) | -20.60 |
| ARC-AGI-2 | 4.9047 / 62Thinking (No Tools) | 11.8039 / 62Thinking (No Tools) | -6.90 |
| GPQA Diamond | 8648 / 187Thinking (No Tools) | 87.6037 / 187Thinking (No Tools) | -1.60 |
| LiveBench | 68.8543 / 115Normal (No Tools) | 69.0742 / 115Thinking (No Tools) | -0.22 |
| HLE | 50.4025 / 172 | 50.2027 / 172Thinking (With Tools) | +0.20 |
Math and Reasoning
GLM-5 2/3| Benchmark | GLM-5 | Kimi K2.5 | Diff |
|---|---|---|---|
| FrontierMath - Tier 4 | 2.1056 / 80Normal (No Tools) | 4.2040 / 80Normal (No Tools) | -2.10 |
| IMO-AnswerBench | 82.5015 / 21Thinking (No Tools) | 81.8016 / 21Thinking (No Tools) | +0.70 |
| AIME 2026 | 92.709 / 18Thinking (No Tools) | 92.5012 / 18Thinking (No Tools) | +0.20 |
Claw-style Agent Evaluation
GLM-5 2/2| Benchmark | GLM-5 | Kimi K2.5 | Diff |
|---|---|---|---|
| Claw Bench | 91.705 / 29Thinking (With Tools) | 81.7018 / 29Thinking (With Tools) | +10 |
| Pinch Bench | 86.4012 / 37Thinking (With Tools) | 84.8017 / 37Thinking (With Tools) | +1.60 |
Long Context
Kimi K2.5 2/2| Benchmark | GLM-5 | Kimi K2.5 | Diff |
|---|---|---|---|
| AA-LCR | 6314 / 15Thinking (No Tools) | 6512 / 15Thinking (No Tools) | -2 |
| LongBench v2 | 60.806 / 11Normal (No Tools) | 615 / 11Normal (No Tools) | -0.20 |
AI Agent - Information Search
GLM-5 1/1| Benchmark | GLM-5 | Kimi K2.5 | Diff |
|---|---|---|---|
| BrowseComp | 75.9024 / 53 | 60.6036 / 53Thinking (With Tools + Internet) | +15.30 |
AI Agent - Tool Usage
GLM-5 1/1| Benchmark | GLM-5 | Kimi K2.5 | Diff |
|---|---|---|---|
| Terminal Bench 2.0 | 61.1018 / 47 | 50.8034 / 47Thinking (With Tools) | +10.30 |
Coding and Software Engineer
GLM-5 1/1| Benchmark | GLM-5 | Kimi K2.5 | Diff |
|---|---|---|---|
| SWE-bench Verified | 77.8025 / 112Thinking (No Tools) | 76.8030 / 112Thinking (With Tools) | +1 |
Commonsense Reasoning
GLM-5 1/1| Benchmark | GLM-5 | Kimi K2.5 | Diff |
|---|---|---|---|
| Simple Bench | 53.2023 / 63Normal (No Tools) | 46.8030 / 63Thinking (No Tools) | +6.40 |
Productivity Knowledge
GLM-5 1/1| Benchmark | GLM-5 | Kimi K2.5 | Diff |
|---|---|---|---|
| GDPval-AA | 4614 / 21Thinking (No Tools) | 4015 / 21Thinking (No Tools) | +6 |
Specs
| Field | GLM-5 | Kimi K2.5 |
|---|---|---|
| Publisher | 智谱AI | Moonshot AI |
| Release date | 2026-02-11 | 2026-01-27 |
| Model type | Chat model | Multimodal model |
| Architecture | MoE | MoE |
| Parameters | 744B | 1T |
| Context length | 200K | 256K |
| Max output | 128K | 16K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | GLM-5 | Kimi K2.5 |
|---|---|---|
| Text input | $1 / 1M tokens | $0.6 / 1M tokens |
| Text output | $3.2 / 1M tokens | $3 / 1M tokens |
| Cache read | Not public | $0.1 / 1M tokens |
| Cache write | $0.2 / 1M tokens | Not public |
Summary
- GLM-5leads in:Math and Reasoning (2/3), Claw-style Agent Evaluation (2/2), AI Agent - Information Search (1/1), AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1), Commonsense Reasoning (1/1), Productivity Knowledge (1/1)
- Kimi K2.5leads in:General Knowledge (4/5), Long Context (2/2)
On average across the 17 shared benchmarks, GLM-5 scores 1.06 higher.
Largest single-benchmark gap: ARC-AGI — GLM-5 44.70 vs Kimi K2.5 65.30 (-20.60).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.