Gemini 3.5 Flash (batch)
Google· released 19 May 2026
google/gemini-3.5-flash:batch- Input / 1M tokens
- $0.75
- Output / 1M tokens
- $4.5
Longest answer: 66K tokens
About
Gemini 3.5 Flash (batch) is a Google model that accepts text, images, video, files, and audio, and returns text. It supports vision, tools, and reasoning, with a context window of 1,048,576 tokens and a maximum output of 65,536 tokens. Listed pricing is $0.75 USD per 1 million input tokens and $4.5 USD per 1 million output tokens. The model ID is google/gemini-3.5-flash:batch. Its description identifies it as a multimodal model focused on coding and reasoning, with parallel agentic execution also noted. For builders, its breadth of input types and large context window are the key integration points, while the batch designation is part of the listed model ID. The output is text, including when the inputs include images, video, files, or audio.
Who it is for
Gemini 3.5 Flash (batch) suits teams combining multiple input modalities with text output. Its listed coding, reasoning, tool, and parallel agentic capabilities may suit development workflows.
What is good
- Accepts text, image, video, file, and audio inputs.
- Context window is 1,048,576 tokens.
- Supports tools, vision, and reasoning.
- Maximum output is 65,536 tokens.
What to know first
- Output costs $4.5 USD per 1 million tokens.
- Outputs text only.
Verdict
Gemini 3.5 Flash (batch) combines multimodal inputs with tool and reasoning support and a large context window. Teams should account for the higher listed output price and text-only output format.
Details
- Lab
- Googleopenrouter.ai · 3 Oct 2026
- Context
- 1,049Kopenrouter.ai · 3 Oct 2026
- Input price
- $0.75 / 1Mopenrouter.ai · 3 Oct 2026
- Output price
- $4.5 / 1Mopenrouter.ai · 3 Oct 2026
- Max output
- 65,536 tokensopenrouter.ai · 3 Oct 2026
- Inputs
- text, image, video, file, audioopenrouter.ai · 3 Oct 2026
- Open weights
- Noopenrouter.ai · 3 Oct 2026
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Sources
- openrouter.ai/google/gemini-3.5-flash:batch· checked 3 Oct 2026


