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Model details

Gemini 3.7 Flash (Vertex AI, US)

Gemini 3.7 Flash is positioned as Google's cheap, fast workhorse for coding and agent-style workloads, optimized to deliver strong intelligence at aggressive introductory pricing. Independent comparisons highlight an Artificial Analysis intelligence index score of 56, paired with a one-million-token context window that can absorb roughly 1,573 pages of text in a single prompt. That combination is aimed at developers who need long-context handling without paying frontier-tier rates, making the model well suited to retrieval-heavy agents, codebase reasoning, and multi-step automation pipelines where cost per call matters as much as raw quality.

Beyond text, Gemini 3.7 Flash is presented as a fully multimodal model, accepting text, image, audio, and video inputs alongside PDF documents, and producing text outputs suitable for tool calling and structured responses. The release framing emphasizes faster inference, lower latency, and improved multimodal reasoning compared with earlier generations, with the goal of keeping enterprise automation costs predictable as deployment volumes grow. In practice, the model fits teams that want a single, broad-capability endpoint for document understanding, conversational agents, and lightweight reasoning tasks, while keeping the door open for future Gemini iterations that build on the same efficiency-focused lineage.

Eden AIvertex/gemini-3.7-flash@usgemini-flash

Quick Info

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Provider
Eden AI
Model key
vertex/gemini-3.7-flash@us
Release date
Aug 13, 2026
Last updated
Aug 13, 2026
Knowledge cutoff
2026-03
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.75
Output token cost
$3.75

Limits

Output tokens
65,536 tokens
Context window
1,048,576 tokens

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