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Gemini 3.7 Flash

Product3 stories

  1. AI modelsReach 52

    Google gives Gemini agentic eyes for video, slashing costs 66%

    Google just launched agentic video understanding across its Gemini Flash lineup, ending the era of brute-force static frame ingestion. Instead of scanning entire videos at a fixed frame rate, Gemini dynamically hops across visual frames, audio, and transcripts to fetch only what it needs, cutting token usage by up to 88% and costs by 66% while boosting accuracy. It is a major win for searching multi-hour video without blowing up API budgets.

  2. ResearchReach 34

    Google AI agents just cracked Knuth's cycles conjecture

    Google just paired its Antigravity Teamwork framework with Gemini 3.7 Flash, allowing autonomous agent teams to solve seven open math and computer science problems, including Knuth's Cycles Conjecture verified in Lean. The multi-agent setup also built an out-of-order RISC-V CPU simulator from scratch that boots xv6. Why it matters: Multi-agent systems are moving past simple coding scripts into genuine scientific discovery and complex systems engineering.

  3. AI modelsReach 57

    Google’s Gemini 3.7 Flash cuts pricing in half with big coding gains

    Google just launched Gemini 3.7 Flash, its latest workhorse model targeting software engineering and multi-step agents. It delivers major benchmark jumps—like DeepSWE climbing from 49% to 65.3%—at half the token cost ($0.75 per million input tokens). Google AI Pro and Ultra subscribers also get the new model in their Gemini Spark agent starting today.