MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...
Model details →MiniMax: MiniMax M2.5 vs OpenAI: GPT-5.1-Codex-Mini
MiniMax: MiniMax M2.5 and OpenAI: GPT-5.1-Codex-Mini are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
GPT-5.1-Codex-Mini is a smaller and faster version of GPT-5.1-Codex
Model details →Side-by-side comparison
| Capability | MiniMax: MiniMax M2.5 | OpenAI: GPT-5.1-Codex-Mini | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 205K | 400K | 🏆 OpenAI: GPT-5.1-Codex-Mini |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.22 | $0.25 | 🏆 MiniMax: MiniMax M2.5 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.90 | $2.00 | 🏆 MiniMax: MiniMax M2.5 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 OpenAI: GPT-5.1-Codex-Mini |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is MiniMax: MiniMax M2.5 better than OpenAI: GPT-5.1-Codex-Mini?
MiniMax: MiniMax M2.5 and OpenAI: GPT-5.1-Codex-Mini are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between MiniMax: MiniMax M2.5 and OpenAI: GPT-5.1-Codex-Mini?
Input: $0.22 vs $0.25 per 1M tokens. Output: $0.90 vs $2.00 per 1M tokens.
What context windows do MiniMax: MiniMax M2.5 and OpenAI: GPT-5.1-Codex-Mini support?
MiniMax: MiniMax M2.5 supports up to 205K tokens. OpenAI: GPT-5.1-Codex-Mini supports up to 400K tokens.
Do both MiniMax: MiniMax M2.5 and OpenAI: GPT-5.1-Codex-Mini support tool calling?
MiniMax: MiniMax M2.5: yes. OpenAI: GPT-5.1-Codex-Mini: yes.
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