Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
Model details →Google: Gemini 3.8 Flash (batch) vs Auto Router
Auto Router wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
The Auto Router automatically selects the best model for your prompt, powered by the wisdom of the market. It routes you based on what the OpenRouter community collectively spends on...
Model details →Side-by-side comparison
| Capability | Google: Gemini 3.8 Flash (batch) | Auto Router | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 2M | 🏆 Auto Router |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.38 | $-1000000.00 | 🏆 Auto Router |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.88 | $-1000000.00 | 🏆 Auto Router |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemini 3.8 Flash (batch) better than Auto Router?
Auto Router wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Google: Gemini 3.8 Flash (batch) and Auto Router?
Input: $0.38 vs $-1000000.00 per 1M tokens. Output: $1.88 vs $-1000000.00 per 1M tokens.
What context windows do Google: Gemini 3.8 Flash (batch) and Auto Router support?
Google: Gemini 3.8 Flash (batch) supports up to 1.0M tokens. Auto Router supports up to 2M tokens.
Do both Google: Gemini 3.8 Flash (batch) and Auto Router support tool calling?
Google: Gemini 3.8 Flash (batch): yes. Auto Router: yes.