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, the newest model in its Flash tier, three weeks after Gemini 3.6 Flash. The model card describes it as a refinement of 3.6 Flash with algorithmic improvements to the core reasoning foundation — not a new pretraining run. It accepts text, images, audio, and video across a 1M-token context window, returns up to 64K output tokens, and supports customizable thinking configurations that trade quality against cost and latency. The knowledge cutoff stays at March
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Google released Gemini 3.7 Flash, an AI model refinement designed for coding, document work, and web development that accepts text, images, audio, and video inputs. The model's main competitive advantage is price: it costs $0.75 per 1 million input tokens until the end of 2026, roughly half the cost of its predecessor and a third the cost of competing models from other companies. Performance improvements are concentrated in software engineering tasks, where it shows measurable gains on coding benchmarks, though it trails on some computer-use and terminal tasks. The model is available only through API and cloud platforms with no open-source weights, making it unsuitable for organizations requiring self-hosted or air-gapped deployments.
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