谷歌发布Gemini 3.7 Flash，编码与智能体模型定价0.75美元/百万输入token

6 Flash做了算法改进。该模型支持1M token上下文和64K token输出，可处理文本、图像、音频与视频。

编码基准上，FrontierCode 1.1 Main成绩43.

6%（前代34.4%），DeepSWE v1.

1为65.3%，WebDev Arena Elo为1588。

文档与工作流基准同样提升，GDP.pdf从22.

0%升至34.0%，AutomationBench从17.

0%升至30.4%。

模型仅通过API和企业提供，无开放权重，输入输出每百万token定价0.75/3.

75美元，优惠至2026年12月31日。

Google AI Just Released Gemini 3.7 Flash: A Coding and Agent Model at $0.75/1M Input Tokens

Google has released Gemini 3.7 Flash, a refinement of Gemini 3.6 Flash with algorithmic improvements to its reasoning core. It handles text, images, audio, and video across a 1M-token context window with 64K-token output, and supports customizable thinking configurations. Coding results move notably: 43.6% on FrontierCode 1.1 Main versus 34.4%, 65.3% on DeepSWE v1.1, and 1588 Elo on WebDev Arena. Document and workflow evals gain more — GDP.pdf goes from 22.0% to 34.0%, AutomationBench from 17.0% to 30.4%. GPT-5.6 Terra still leads on terminal and computer-use agents. The model is API and enterprise only, with no open weights, at an introductory $0.75/$3.75 per 1M tokens through December 31, 2026. The post Google AI Just Released Gemini 3.7 Flash: A Coding and Agent Model at $0.75/1M Input Tokens appeared first on MarkTechPost .

This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Gemini 3.7 Flash, Google, 智能体, 编程助手.

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