Artificial Intelligence · 13.08.2026, 17:55 UTC
Google AI Just Released Gemini 3.7 Flash: A Coding and Agent Model at $0.75/1M Input Tokens
| Schweregrad | info |
|---|---|
| Kategorie | Artificial Intelligence |
| Quelle | MarkTechPost ↗ |
| Veröffentlicht | 13.08.2026 UTC |
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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 2026. The gains concentrate in three places: software engineering, document-heavy knowledge work, and web development. The sharper argument is price. Gemini 3.7 Flash ships at $0.75 per 1M input tokens and $3.75 per 1M output tokens — half the original 3.6 Flash list rate, and roughly a third the blended cost of Claude Sonnet 5 or GPT-5.6 Terra.
Is it Deployable?
Yes, API and enterprise only. There are no open weights. Access runs through hosted surfaces: the Gemini API and Google AI Studio, Google Antigravity, Android Studio, the Gemini Enterprise Agent Platform, and the Gemini Enterprise app. Consumers reach it through Gemini Spark on Google AI Pro and Ultra plans.
Company fit: Startups and mid-market teams gain the most, because the introductory price makes always-on agents affordable without a Pro-tier budget. Regulated enterprises get a governed path through Gemini Enterprise. Teams with data-residency or air-gap requirements are excluded — there is nothing to self-host.
Industries: Google’s own eval set points at legal, financial services, biosciences, and enterprise …