GPT-5 Chat is designed for advanced, natural, multimodal, and context-aware conversations for enterprise applications.
Model details →OpenAI: GPT-5 Chat vs Qwen: Qwen VL Max
Qwen: Qwen VL Max wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen VL Max is a visual understanding model with 7500 tokens context length. It excels in delivering optimal performance for a broader spectrum of complex tasks.
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-5 Chat | Qwen: Qwen VL Max | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 128K | 131K | 🏆 Qwen: Qwen VL Max |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.25 | $0.52 | 🏆 Qwen: Qwen VL Max |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $2.08 | 🏆 Qwen: Qwen VL Max |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen: Qwen VL Max |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is OpenAI: GPT-5 Chat better than Qwen: Qwen VL Max?
Qwen: Qwen VL Max 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 Chat and Qwen: Qwen VL Max?
Input: $1.25 vs $0.52 per 1M tokens. Output: $10.00 vs $2.08 per 1M tokens.
What context windows do OpenAI: GPT-5 Chat and Qwen: Qwen VL Max support?
OpenAI: GPT-5 Chat supports up to 128K tokens. Qwen: Qwen VL Max supports up to 131K tokens.
Do both OpenAI: GPT-5 Chat and Qwen: Qwen VL Max support tool calling?
OpenAI: GPT-5 Chat: not advertised. Qwen: Qwen VL Max: yes.