Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Model details →Google: Gemini 2.5 Pro vs Qwen/Qwen3-ASR-1.7B
Google: Gemini 2.5 Pro wins on 6 of 6 axes — pricing and capability skew in its favour for most workloads.
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Model details →Side-by-side comparison
| Capability | Google: Gemini 2.5 Pro | Qwen/Qwen3-ASR-1.7B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | Unknown | 🏆 Google: Gemini 2.5 Pro |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.25 | Custom | 🏆 Google: Gemini 2.5 Pro |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | Custom | 🏆 Google: Gemini 2.5 Pro |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 Google: Gemini 2.5 Pro |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Gemini 2.5 Pro |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 Google: Gemini 2.5 Pro |
Frequently asked questions
Is Google: Gemini 2.5 Pro better than Qwen/Qwen3-ASR-1.7B?
Google: Gemini 2.5 Pro wins on 6 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemini 2.5 Pro and Qwen/Qwen3-ASR-1.7B?
Input: $1.25 vs Custom per 1M tokens. Output: $10.00 vs Custom per 1M tokens.
What context windows do Google: Gemini 2.5 Pro and Qwen/Qwen3-ASR-1.7B support?
Google: Gemini 2.5 Pro supports up to 1.0M tokens. Qwen/Qwen3-ASR-1.7B supports up to Unknown tokens.
Do both Google: Gemini 2.5 Pro and Qwen/Qwen3-ASR-1.7B support tool calling?
Google: Gemini 2.5 Pro: yes. Qwen/Qwen3-ASR-1.7B: not advertised.
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