Google: Gemini 3.5 Flash (batch)

Gemini 3.5 Flash (batch) is Google's batch-access listing of its Flash model, accepting text, image, video, audio, and file inputs. It offers a context window of 1,048,576 tokens and can return up to 65,536 tokens per completion. The model supports tool use and reasoning; structured output support is not specified in the available data, so teams that depend on strict schemas should verify it before committing. Priced at $0.75 per million input tokens and $4.50 per million output tokens, it suits workloads that process large or mixed-media inputs where output volume stays moderate. Its blended benchmark score of 84.2 rests on only three benchmarks, so treat that standing as indicative rather than settled. Within that set, it posts 100.0 on the AI Index coding measure and 82.8 on the overall index, but a weaker 61.8 on the agentic measure. Shortlist it for coding and long-context analysis, and test it carefully before relying on it for agent workflows.