For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million token context window, and scores 80.1% on MMLU, 50.3% on GPQA, a…
Model details →OpenAI: GPT-4.1 Nano vs Qwen: Qwen Plus 0728
OpenAI: GPT-4.1 Nano wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen Plus 0728, based on the Qwen3 foundation model, is a 1 million context hybrid reasoning model with a balanced performance, speed, and cost combination.
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-4.1 Nano | Qwen: Qwen Plus 0728 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1M | 🏆 OpenAI: GPT-4.1 Nano |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.10 | $0.26 | 🏆 OpenAI: GPT-4.1 Nano |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.40 | $0.78 | 🏆 OpenAI: GPT-4.1 Nano |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 OpenAI: GPT-4.1 Nano |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is OpenAI: GPT-4.1 Nano better than Qwen: Qwen Plus 0728?
OpenAI: GPT-4.1 Nano wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-4.1 Nano and Qwen: Qwen Plus 0728?
Input: $0.10 vs $0.26 per 1M tokens. Output: $0.40 vs $0.78 per 1M tokens.
What context windows do OpenAI: GPT-4.1 Nano and Qwen: Qwen Plus 0728 support?
OpenAI: GPT-4.1 Nano supports up to 1.0M tokens. Qwen: Qwen Plus 0728 supports up to 1M tokens.
Do both OpenAI: GPT-4.1 Nano and Qwen: Qwen Plus 0728 support tool calling?
OpenAI: GPT-4.1 Nano: yes. Qwen: Qwen Plus 0728: yes.