AI Change Tracker

Gemini 3.7 Flash

Lab
google-deepmind
Weights
closed
Released
2026-08-13
Context window
1,000,000
Modalities
text, image, audio
API
yes
Local-runnable
no
Status
current

announcementmodel cardpricing

Scores

Human preference

Value Source As of Reported by Notes
1490 elo lmarena-text ↗ 2026-08-31 aggregatorA gemini-3.7-flash-high, #9; unchanged in value from the 2026-08-26 fetch, as-of refreshed.
1490 elo lmarena-text ↗ 2026-08-26 aggregatorA gemini-3.7-flash-high variant on the 2026-08-26 board fetch; introductory pricing through 2026-12-31 per Google's announcement.

Events

2

Google deprecates Gemini 3.7 Flash, auto-routes requests to Gemini 3.8 Flash

Google's Gemini API changelog (Oct 8, 2026) announced gemini-3.7-flash is deprecated and replaced by gemini-3.8-flash, with all requests to the old model string automatically routed to the new one; developers are told to update their model string. The same entry announced the deep-research-pro-preview-12-2025 agent is deprecated and will shut down October 23, 2026, with migration to newer Deep Research agent variants.

2026-10-08 Release Gemini API release notes
2

Independent test finds current AI models unreliable at identifying dangerous mushrooms

The Register reported on September 2, 2026 on an independent test by Piotr Migdal running 1,040 mushroom photos across 16 models. Gemini 3.8 Flash scored best (65% correct on first guess, 85% within its top five), while Qwen3.8-27b scored worst (13% first-guess, and misidentified poisonous mushrooms as edible 36% of the time). Meta's Muse Spark 1.2 had the lowest false-positive rate (8%) largely because it declined to guess in ambiguous cases.

2026-09-02 Safety / alignment Benchmark result AI-assisted mushroom hunting is a recipe for a bad trip
3

Gemini adds agentic video understanding, cutting long-video token use up to 88%

On September 1, 2026, Google DeepMind and the Gemini API released agentic video understanding for Gemini 3.7 Flash, 3.6 Flash, and 3.5 Flash-Lite, letting the model dynamically request transcripts, frames, or audio tracks from a video timeline on demand rather than processing it statically. Google reports this uses up to 88% fewer tokens for long-form video content compared to static processing.

2026-09-01 Release Tooling / agents Agentic video understanding

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