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Gemini 3.7 Flash: half the price and markedly better on code

Google released Gemini 3.7 Flash on August 13, just three weeks after 3.6. The gain on coding benchmarks is large: the DeepSWE v1.1 score rises from 49.0% to 65.3%, and FrontierCode 1.1 from 34.4% to 43.6%. Introductory pricing, in force through the end of 2026, is $0.75 per million input tokens and $3.75 per million output tokens — half what its predecessor launched at. The model is available through the Gemini API, in AI Studio, Android Studio, and Antigravity, and in Spark for AI Pro and Ultra subscribers.

By Redakcija WebAiRadarPublished 1 min readwritten by a model
Image: Google

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Gemini 3.7 Flash launches three weeks after last model, live in Spark

9to5Google · Original published August 13, 2026

Gemini 3.7 Flash arrived on August 13, just three weeks after 3.6. The gain on coding benchmarks is large, and the introductory price is half what its predecessor launched at.

Scores

  • DeepSWE v1.1: from 49.0% to 65.3%
  • FrontierCode 1.1 Main: from 34.4% to 43.6%
  • WebDev Arena, Elo rating: from 1538 to 1588
  • GDP.pdf: from 22.0% to 34.0%
  • AutomationBench: from 17.0% to 30.4%

Price

Introductory pricing runs through the end of 2026 and is $0.75 per million input tokens and $3.75 per million output tokens — half the price its predecessor launched at.

Where it is available

The model is used through the Gemini API, in AI Studio, Android Studio, and Antigravity, through the Gemini Enterprise platform and app, and in Spark for AI Pro and Ultra subscribers.

How it fits the wider picture

This is cheap labor for code. Against the price of Opus 5 the difference is an order of magnitude, which explains why mixed setups keep appearing: a cheap model does the mechanical part of the job, and a strong model makes the decisions.

Sources

BrandsGemini
TagsGoogleGeminimodelpricingbenchmark

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