Compare / head-to-head
GLM-4.6Vvs
Kimi K2.5
Kimi K2.5 leads 3 of 3 shared benchmarks. Kimi K2.5 has the larger context window (256K tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 3
Kimi K2.5 leads
Cheaper per token
—
list price, input + output
Larger context
Kimi K2.5
256K tokens
Providers
2 providers
Z.ai · Moonshot AI
GLM-4.6V
Z.ai · released 2025-12-08
textvisionvideo
Kimi K2.5
Moonshot AI · released 2026-01-27
textvisionvideo
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 26 · 14 core
Quality
Benchmark matrix
3 shared · 14 only GLM-4.6V · 23 only Kimi K2.5| Benchmark | GLM-4.6V | Kimi K2.5 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| LMArena Elo | 1378.7 ↗ | 1450.1 ↗ | -71.4 | Kimi K2.5 |
| LMArena Vision (LMArena) | 1161.5 ↗ | 1252.2 ↗ | -90.7 | Kimi K2.5 |
| VideoMMMU | 74.7% ↗ | 86.6% ↗ | -11.9 pt | Kimi K2.5 |
| Only GLM-4.6V reports · 14 | ||||
| AndroidWorld | 57% ↗ | not reported | — | — |
| ChartQAPro | 65.5% ↗ | not reported | — | — |
| CharXiv_Val-Reasoning | 63.2% ↗ | not reported | — | — |
| Design2Code | 88.6% ↗ | not reported | — | — |
| MathVista | 85.2% ↗ | not reported | — | — |
| MMBench V1.1 | 88.8% ↗ | not reported | — | — |
| MMBrowseComp | 7.6% ↗ | not reported | — | — |
| MMLongBench-Doc | 54.9% ↗ | not reported | — | — |
| MMMU (Val) | 76% ↗ | not reported | — | — |
| MMMU_Pro | 66% ↗ | not reported | — | — |
| MMStar | 75.9% ↗ | not reported | — | — |
| OCRBench | 86.5% ↗ | not reported | — | — |
| OSWorld | 37.2% ↗ | not reported | — | — |
| WebVoyager | 81% ↗ | not reported | — | — |
| Only Kimi K2.5 reports · 23 | ||||
| SWE-bench Verified | not reported | 76.8% ↗ | — | — |
| MMLU-Pro | not reported | 87.1% ↗ | — | — |
| AIME 2025 | not reported | 96.1% ↗ | — | — |
| BrowseComp | not reported | 60.6% ↗ | — | — |
| GPQA-Diamond | not reported | 87.6% ↗ | — | — |
| HLE-Full | not reported | 30.1% ↗ | — | — |
| HLE-Full (w/ tools) | not reported | 50.2% ↗ | — | — |
| HMMT 2025 (Feb) | not reported | 95.4% ↗ | — | — |
| IMO-AnswerBench | not reported | 81.8% ↗ | — | — |
| LiveCodeBench (v6) | not reported | 85% ↗ | — | — |
| LMArena WebDev (LMArena) | not reported | 1435.8 ↗ | — | — |
| MMMU-Pro | not reported | 78.5% ↗ | — | — |
| OSWorld-Verified (XLANG) | not reported | 63.3% ↗ | — | — |
| SAGE (Vals AI) | not reported | 49.9% ↗ | — | — |
| SimpleBench (SimpleBench) | not reported | 46.8% ↗ | — | — |
| SimpleQA Verified | not reported | 34.3% ↗epoch run | — | — |
| SWE-Bench Multilingual | not reported | 73% ↗ | — | — |
| SWE-Bench Pro | not reported | 50.7% ↗ | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 73.8% ↗epoch run | — | — |
| Terminal Bench 2.0 | not reported | 50.8% ↗ | — | — |
| Toolathlon-Verified (HKUST) | not reported | 33% ↗ | — | — |
| Vending-Bench 2 (Andon Labs) | not reported | 1198.46 ↗ | — | — |
| WeirdML (Håvard Tveit Ihle) | not reported | 45.6% ↗ | — | — |
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-4.6V minus Kimi K2.5 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-4.6V | Kimi K2.5 | Edge |
|---|---|---|---|
| Context window | 128K tokens | 256K tokens | Kimi K2.5 |
| Max output | 32K tokens | — | — |
| Input price / 1M | $0.3 ↗ | — | — |
| Output price / 1M | $0.9 ↗ | — | — |
| Cached input / 1M | $0.05 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.2 | — | — |
| Modalities | text · vision · video | text · vision · video | Tie |
| Released | 2025-12-08 | 2026-01-27 | — |
| Cited benchmark scores | 17 | 26 | — |
Reliability
Provider status
Live from /statusMore matchups
GLM-4.6V vs …
Models sharing the most benchmarksMore matchups
Kimi K2.5 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-4.6V and Kimi K2.5 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.