Model comparison
Kimi K2.6 vs Gemini 2.5 Pro
Capability radar, value bars, and side-by-side posture.
Kimi K2.6
Not scored
value score
Gemini 2.5 Pro
93
value score
Kimi K2.6 ctx
—
Gemini 2.5 Pro ctx
1.0M
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- Gemini 2.5 Pro93
Attribute tape
| Field | Kimi K2.6 | Gemini 2.5 Pro |
|---|---|---|
| Developer | ~moonshotai | Google DeepMind |
| Context | — | 1.0M |
| Modalities | Text, Code, Image, Audio, Video | |
| Openness | — | Proprietary Model |
| Speed | — | — |
| Price | — | $1.25/1M in · $10/1M out |
| Value score | — | 93 |
| Summary | Kimi K2.6 is Moonshot AI's open-weight multimodal agentic foundation model built for long-horizon coding, tool use, and autonomous agent workflows. It supports text, image, and video inputs via a native vision encoder (MoonViT), features a 256K-token context window, and a sparse Mixture-of-Experts architecture with 1.04T total parameters and 32B active per forward pass. | Google frontier multimodal model. |