MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,.…
Model details →MiniMax: MiniMax M2 vs OpenAI: GPT-5.4 Nano
OpenAI: GPT-5.4 Nano wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency...
Model details →Side-by-side comparison
| Capability | MiniMax: MiniMax M2 | OpenAI: GPT-5.4 Nano | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 205K | 400K | 🏆 OpenAI: GPT-5.4 Nano |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.26 | $0.20 | 🏆 OpenAI: GPT-5.4 Nano |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.02 | $1.25 | 🏆 MiniMax: MiniMax M2 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 OpenAI: GPT-5.4 Nano |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is MiniMax: MiniMax M2 better than OpenAI: GPT-5.4 Nano?
OpenAI: GPT-5.4 Nano wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between MiniMax: MiniMax M2 and OpenAI: GPT-5.4 Nano?
Input: $0.26 vs $0.20 per 1M tokens. Output: $1.02 vs $1.25 per 1M tokens.
What context windows do MiniMax: MiniMax M2 and OpenAI: GPT-5.4 Nano support?
MiniMax: MiniMax M2 supports up to 205K tokens. OpenAI: GPT-5.4 Nano supports up to 400K tokens.
Do both MiniMax: MiniMax M2 and OpenAI: GPT-5.4 Nano support tool calling?
MiniMax: MiniMax M2: yes. OpenAI: GPT-5.4 Nano: yes.