Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed...
Model details →MoonshotAI: Kimi K2.5 vs OpenAI: o4 Mini (batch)
OpenAI: o4 Mini (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports tool use and demonstrates competitive reasoning...
Model details →Side-by-side comparison
| Capability | MoonshotAI: Kimi K2.5 | OpenAI: o4 Mini (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 262K | 200K | 🏆 MoonshotAI: Kimi K2.5 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.57 | $0.55 | 🏆 OpenAI: o4 Mini (batch) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $2.85 | $2.20 | 🏆 OpenAI: o4 Mini (batch) |
| 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 K2.5 better than OpenAI: o4 Mini (batch)?
OpenAI: o4 Mini (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between MoonshotAI: Kimi K2.5 and OpenAI: o4 Mini (batch)?
Input: $0.57 vs $0.55 per 1M tokens. Output: $2.85 vs $2.20 per 1M tokens.
What context windows do MoonshotAI: Kimi K2.5 and OpenAI: o4 Mini (batch) support?
MoonshotAI: Kimi K2.5 supports up to 262K tokens. OpenAI: o4 Mini (batch) supports up to 200K tokens.
Do both MoonshotAI: Kimi K2.5 and OpenAI: o4 Mini (batch) support tool calling?
MoonshotAI: Kimi K2.5: yes. OpenAI: o4 Mini (batch): yes.
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