GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing…
Model details →OpenAI: GPT-5.4 Mini vs Qwen: Qwen3 Max
OpenAI: GPT-5.4 Mini wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-Max is an updated release built on the Qwen3 series, offering major improvements in reasoning, instruction following, multilingual support, and long-tail knowledge coverage compared to the January 2025 version. It delivers higher accu…
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5.4 Mini | Qwen: Qwen3 Max | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 400K | 262K | 🏆 OpenAI: GPT-5.4 Mini |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.75 | $0.78 | 🏆 OpenAI: GPT-5.4 Mini |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $4.50 | $3.90 | 🏆 Qwen: Qwen3 Max |
| 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 Mini |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 OpenAI: GPT-5.4 Mini |
Frequently asked questions
Is OpenAI: GPT-5.4 Mini better than Qwen: Qwen3 Max?
OpenAI: GPT-5.4 Mini wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-5.4 Mini and Qwen: Qwen3 Max?
Input: $0.75 vs $0.78 per 1M tokens. Output: $4.50 vs $3.90 per 1M tokens.
What context windows do OpenAI: GPT-5.4 Mini and Qwen: Qwen3 Max support?
OpenAI: GPT-5.4 Mini supports up to 400K tokens. Qwen: Qwen3 Max supports up to 262K tokens.
Do both OpenAI: GPT-5.4 Mini and Qwen: Qwen3 Max support tool calling?
OpenAI: GPT-5.4 Mini: yes. Qwen: Qwen3 Max: yes.