Kimi K2.6 is Moonshot AI's next-generation multimodal model, designed for long-horizon coding, coding-driven UI/UX generation, and multi-agent orchestration. It handles complex end-to-end coding tasks across Python, Rust, and Go, and...
Model details →MoonshotAI: Kimi K2.6 vs OpenAI: GPT-5.2-Codex
MoonshotAI: Kimi K2.6 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....
Model details →Side-by-side comparison
| Capability | MoonshotAI: Kimi K2.6 | OpenAI: GPT-5.2-Codex | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 400K | 🏆 OpenAI: GPT-5.2-Codex |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.59 | $1.75 | 🏆 MoonshotAI: Kimi K2.6 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.48 | $14.00 | 🏆 MoonshotAI: Kimi K2.6 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is MoonshotAI: Kimi K2.6 better than OpenAI: GPT-5.2-Codex?
MoonshotAI: Kimi K2.6 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between MoonshotAI: Kimi K2.6 and OpenAI: GPT-5.2-Codex?
Input: $0.59 vs $1.75 per 1M tokens. Output: $2.48 vs $14.00 per 1M tokens.
What context windows do MoonshotAI: Kimi K2.6 and OpenAI: GPT-5.2-Codex support?
MoonshotAI: Kimi K2.6 supports up to 262K tokens. OpenAI: GPT-5.2-Codex supports up to 400K tokens.
Do both MoonshotAI: Kimi K2.6 and OpenAI: GPT-5.2-Codex support tool calling?
MoonshotAI: Kimi K2.6: yes. OpenAI: GPT-5.2-Codex: yes.
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