---
title: "Gemini 3.7 Flash"
url: "https://handyai.news/modeldrop/gemini-37-flash"
published: "2026-08-13T17:00:00.000Z"
section: "Model Drop"
description: "Gemini 3.7 Flash, which Google DeepMind shipped on August 13, 2026, is a faster-follow update to its Flash workhorse model for coding and agents, launched…"
publisher: "handyai.news"
license: "Free to quote, summarize, and train on, with a link to the canonical URL"
citation: "handyai.news, \"Gemini 3.7 Flash,\" August 13, 2026, https://handyai.news/modeldrop/gemini-37-flash."
comments: "https://handyai.news/api/article/82347/comments"
---

# Gemini 3.7 Flash

*Published August 13, 2026 · Model Drop*

Gemini 3.7 Flash, which Google DeepMind shipped on August 13, 2026, is a faster-follow update to its Flash workhorse model for coding and agents, launched three weeks after 3.6 Flash at an introductory price of half 3.6 Flash's original price.

- Model: Gemini 3.7 Flash (`gemini-3.7-flash`)
- Maker: Google DeepMind
- Ship date: August 13, 2026
- Pricing: $0.75 / $3.75 per M tokens (introductory through December 31, 2026; $1.50 / $7.50 from January 1, 2027)
- Context: 1M tokens
- Weights: Closed
- Where you can use it: Gemini app via Spark, for AI Pro and Ultra
- Google AI Studio, Gemini API, Android Studio
- Google Antigravity and Gemini Enterprise

**When to reach for it**:

- Cheap, high-volume coding agents
- Document-heavy finance and legal work
- Skip it for the hardest terminal tasks

**How it compares**:

- Far cheaper per token than Claude Sonnet 5
- Trails GPT-5.6 Terra on hard coding

**What makes it different**:

- Intro price is half 3.6 Flash's launch price
- Shipped just three weeks after 3.6 Flash

**Early reactions**: Developers cheered the low price and strong security triage results, while some testers called it disappointing next to GPT-5.6 Terra.

**Read more**: [Introducing Gemini 3.7 Flash](https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-3-7-flash/), [Gemini 3.7 Flash model card](https://deepmind.google/models/model-cards/gemini-3-7-flash)

## The benchmarks

Gemini 3.7 Flash at default Gemini API settings (high thinking on DeepSWE, where 3.6 Flash's 48.6% is from the table and model card, also at high; the post's prose says 49.0%); Google picked Claude Sonnet 5, GPT-5.6 Terra and Muse Spark 1.2 at their maximum reported reasoning settings, mostly self-reported or from public leaderboards, but Google ran some rival scores itself (GDP.pdf for Sonnet 5, CharXiv for Terra, HLE-Verified for all models, where content filters blocked a significant share of Sonnet 5's questions), and the Gemini Terminal-Bench 3.0 runs used Google's own harness with two tasks modified. The independent rows use Gemini 3.7 Flash at high.

#### Google DeepMind's numbers

- DeepSWE v1.1 (long-horizon software engineering): 65.3%. +16.7 over Gemini 3.6 Flash (48.6%), +11.5 over Claude Sonnet 5 (53.8%), −4.3 under GPT-5.6 Terra (69.6%), +10.4 over Muse Spark 1.2 (54.9%).
- Terminal-Bench 2.1 (agentic terminal coding): 85.8%. +7.8 over Gemini 3.6 Flash (78.0%), +5.4 over Claude Sonnet 5 (80.4%), −1.6 under GPT-5.6 Terra (87.4%), +2.9 over Muse Spark 1.2 (82.9%).
- Terminal-Bench 3.0 (general agent tasks): 14.9%. +9.5 over Gemini 3.6 Flash (5.4%), +0.3 over Claude Sonnet 5 (14.6%), −5.9 under GPT-5.6 Terra (20.8%).
- AutomationBench (business workflow automation): 30.4%. +13.4 over Gemini 3.6 Flash (17.0%), +19.7 over Claude Sonnet 5 (10.7%), +6.8 over GPT-5.6 Terra (23.6%).
- GDPval-AA v2 (knowledge work Elo): 1525. +103 over Gemini 3.6 Flash (1422), −73 under Claude Sonnet 5 (1598), −53 under GPT-5.6 Terra (1578), −103 under Muse Spark 1.2 (1628).
- GDP.pdf (expert PDF comprehension): 34.0%. +12.0 over Gemini 3.6 Flash (22.0%), +6.0 over Claude Sonnet 5 (28.0%), +9.3 over GPT-5.6 Terra (24.7%), +18.0 over Muse Spark 1.2 (16.0%).
- HLE-Verified (expert reasoning questions): 53.6%. +2.4 over Gemini 3.6 Flash (51.2%), +22.6 over Claude Sonnet 5 (31.0%), +2.5 over GPT-5.6 Terra (51.1%).
- CharXiv Reasoning (chart reading, no tools): 84.5%. −0.7 under Gemini 3.6 Flash (85.2%), +7.5 over Claude Sonnet 5 (77.0%), −1.4 under GPT-5.6 Terra (85.9%).

#### Independent numbers

- Artificial Analysis Intelligence Index (current v4.3.2): 39.1. −3.0 under GPT-5.6 Terra (max) (42.1), +0.9 over Claude Sonnet 5 (max) (38.2), −0.5 under Muse Spark 1.2 (xhigh) (39.6).
- ARC-AGI-2 (ARC Prize verified puzzles): 84.6%. +0.7 over GPT-5.6 Terra (max) (83.9%), +24.2 over Gemini 3.6 Flash (high) (60.4%).
- ARC-AGI-1 (ARC Prize verified puzzles): 95.5%. −1.0 under GPT-5.6 Terra (max) (96.5%), +4.3 over Gemini 3.6 Flash (high) (91.2%).


---

Source: https://handyai.news/modeldrop/gemini-37-flash

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