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


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Pricing is the real argument

Gemini 3.7 Flash lists at $0.75 per 1M input tokens and $3.75 per 1M output tokens. That rate is introductory and expires December 31, 2026; from January 1, 2027 it becomes $1.50 and $7.50. In Google’s own table, Claude Sonnet 5 sits at $2.00/$10.00 and GPT-5.6 Terra at $2.00/$12.00.

At an 80/20 input-output mix, that is a blended $1.35 per 1M tokens today against $3.60 for Sonnet 5 and $4.00 for GPT-5.6 Terra. For teams running agents at volume, the intelligence-per-dollar gap is the reason to evaluate, not the individual eval wins.

Key Takeaways

  • Gemini 3.7 Flash is a refinement of 3.6 Flash, not a new base model, shipped just three weeks later.
  • Coding gains are real: FrontierCode 43.6% vs 34.4%, DeepSWE 65.3% vs 48.6%, WebDev Arena 1588 Elo.
  • Price is the strongest claim — $0.75/$3.75 per 1M until December 31, 2026, then it doubles.
  • GPT-5.6 Terra still leads on terminal and computer-use agents; CharXiv is a small regression.
  • API and enterprise only. No open weights, so no self-hosting or air-gapped deployment.

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Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.



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Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of Artificial Intelligence for social good. His most recent endeavor is the launch of an Artificial Intelligence Media Platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is both technically sound and easily understandable by a wide audience. The platform boasts of over 2 million monthly views, illustrating its popularity among audiences.


















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