GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
Model details →OpenAI: GPT-5.6 Luna vs Xiaomi: MiMo-V2.5-Pro
OpenAI: GPT-5.6 Luna wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro....
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5.6 Luna | Xiaomi: MiMo-V2.5-Pro | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.1M | 1.1M | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.43 | 🏆 OpenAI: GPT-5.6 Luna |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.60 | $0.87 | 🏆 OpenAI: GPT-5.6 Luna |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 OpenAI: GPT-5.6 Luna |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is OpenAI: GPT-5.6 Luna better than Xiaomi: MiMo-V2.5-Pro?
OpenAI: GPT-5.6 Luna wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-5.6 Luna and Xiaomi: MiMo-V2.5-Pro?
Input: $0.10 vs $0.43 per 1M tokens. Output: $0.60 vs $0.87 per 1M tokens.
What context windows do OpenAI: GPT-5.6 Luna and Xiaomi: MiMo-V2.5-Pro support?
OpenAI: GPT-5.6 Luna supports up to 1.1M tokens. Xiaomi: MiMo-V2.5-Pro supports up to 1.1M tokens.
Do both OpenAI: GPT-5.6 Luna and Xiaomi: MiMo-V2.5-Pro support tool calling?
OpenAI: GPT-5.6 Luna: yes. Xiaomi: MiMo-V2.5-Pro: yes.
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