Compare / head-to-head
GLM-5.2vsKimi K2.7 Code
GLM-5.2 leads 3 of 5 shared benchmarks. GLM-5.2 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
3 – 2
GLM-5.2 leads
Cheaper per token
—
list price, input + output
Larger context
GLM-5.2
1M tokens
Provider uptime (30d)
— · 100%
Z.ai · Moonshot AI
GLM-5.2
Z.ai · released 2026-06-24
text
Kimi K2.7 Code
Moonshot AI · released 2026-06-12
textvision
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 11 · 5 core
Quality
Benchmark matrix
5 shared · 20 only GLM-5.2 · 6 only Kimi K2.7 Code| Benchmark | GLM-5.2 | Kimi K2.7 Code | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 5 | ||||
| GPQA Diamond | 91.9% ↗epoch | 87.9% ↗epoch | +4 pt | GLM-5.2 |
| FrontierMath Tier 4 v2 (Epoch AI run) | 29.3% ↗epoch | 12.2% ↗epoch | +17.1 pt | GLM-5.2 |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 59.2% ↗epoch | 54% ↗epoch | +5.2 pt | GLM-5.2 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 86.4% ↗epoch | 95.6% ↗epoch | -9.2 pt | Kimi K2.7 Code |
| SimpleQA Verified | 34.2% ↗epoch | 36.5% ↗epoch | -2.3 pt | Kimi K2.7 Code |
| Only GLM-5.2 reports · 20 | ||||
| AIME 2026 | 90% ↗matharena ⚠ | not reported | — | — |
| Agents' Last Exam (ALE-CLI) | 23.8% ↗ | not reported | — | — |
| AutomationBench v1.0.6 | 26.2% ↗ | not reported | — | — |
| CyberGym | 77.2% ↗ | not reported | — | — |
| DeepSWE v1.1 | 46.2% ↗ | not reported | — | — |
| ExploitBench | 24.4% ↗ | not reported | — | — |
| ExploitGym 2h | 29 ↗ | not reported | — | — |
| ExploitGym 6h | 39 ↗ | not reported | — | — |
| FrontierSWE | 67.5% ↗ | not reported | — | — |
| GDPval-AA v2 | 1508 ↗ | not reported | — | — |
| HLE (with tools) | 54.7% ↗ | not reported | — | — |
| NL2Repo | 48.9% ↗ | not reported | — | — |
| PostTrainBench | 31.7% ↗ | not reported | — | — |
| ProgramBench (Almost Solved) | 9.5% ↗ | not reported | — | — |
| SWE-Bench Pro | 62.1% ↗ | not reported | — | — |
| SWE-bench Verified (Epoch AI run) | 78.7% ↗epoch | not reported | — | — |
| SWE-Marathon v1.1 | 19.4% ↗ | not reported | — | — |
| Terminal-Bench 2.1 | 81% ↗ | not reported | — | — |
| Terminal-Bench 3.0 | 4.6% ↗ | not reported | — | — |
| Toolathlon Verified | 59.9% ↗ | not reported | — | — |
| Only Kimi K2.7 Code reports · 6 | ||||
| Kimi Claw 24/7 Bench | not reported | 46.9% ↗ | — | — |
| Kimi Code Bench v2 | not reported | 62% ↗ | — | — |
| MCP-Atlas | not reported | 76% ↗ | — | — |
| MCPMark-Verified | not reported | 81.1% ↗ | — | — |
| MLS-Bench-Lite | not reported | 35.1% ↗ | — | — |
| ProgramBench | not reported | 53.6% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is GLM-5.2 minus Kimi K2.7 Code in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | GLM-5.2 | Kimi K2.7 Code | Edge |
|---|---|---|---|
| Context window | 1M tokens | 256K tokens | GLM-5.2 |
| Max output | 131K tokens | — | — |
| Input price / 1M | $1.4 ↗ | — | — |
| Output price / 1M | $4.4 ↗ | — | — |
| Cached input / 1M | $0.26 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | — | — |
| Modalities | text | text · vision | Kimi K2.7 Code |
| Released | 2026-06-24 | 2026-06-12 | — |
| Cited benchmark scores | 26 | 11 | — |
Reliability
Provider status
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