Gemini 3.8 models

8 versions from Google, reviewed by the TopReviewed AI panel.

ModelScoreStatusReleasedPrice in/outContext
Gemini 3.8 Flash
long-horizon coding and agent workhorse
8.8GA2026-09-02$0.75 / $3.751.0MReview →
Gemini 3.5 Flash-Lite
high-volume subagents and document parsing
8.3GA2026-07-21$0.30 / $2.501.0MReview →
Gemini 3.5 Flash
production agent + coding backbone
8.5GA2026-05-19$1.50 / $91.0MReview →
Gemini 3.1 Flash-Lite
best $/intelligence in Google's lineup
7.8GA2026-05-07$0.25 / $1.501.0MReview →
Gemini 3.1 Pro
frontier reasoning + long-context on Google Cloud
8.7preview2026-02-19$2 / $121.0MReview →
Gemini 2.5 Flash-Lite
cheapest GA model with 1M context
7.7GA2025-07-22$0.10 / $0.401.0MReview →
Gemini 2.5 Pro
cost-effective long-context Pro
7.6GA2025-06-17$1.25 / $101.0MReview →
Gemini 2.5 Flash
mature mid-tier with thinking toggle
6.7GA2025-06-17$0.30 / $2.501.0MReview →

Strongest: Gemini 3.8 Flash

Gemini 3.8 Flash is Google's newest Flash model, released GA on 2026-09-02 as the third Flash release in six weeks (after 3.6 Flash on 2026-07-21 and 3.7 Flash on 2026-08-13). Google calls it its "most intelligent Flash model", built for long-horizon software engineering, autonomous agents and enterprise knowledge work, and it is now the default model behind the Antigravity agent and the Antigravity SDK. On Google's own table it matches or beats GPT-5.6 Terra and Claude Sonnet 5 on most rows and sits close to Claude Opus 5 on coding and reasoning, at an introductory $0.75 in / $3.75 out per 1M tokens. That price runs through 2026-12-31; from 2027-01-01 it doubles to $1.50 / $7.50. For a buyer: this is the strongest price-to-capability model on Google's stack today, with two catches: it deliberately spends more tokens on hard tasks, and the sticker price doubles in January.

Full review →

Best value: Gemini 3.5 Flash-Lite

Gemini 3.5 Flash-Lite is Google's newest Flash-Lite model and the successor to Gemini 3.1 Flash-Lite, released as a stable GA model on 2026-07-21 in the Gemini API, Google AI Studio and Gemini Enterprise Agent Platform. Google built it as the fast worker in a two-tier agent stack: a Flash model plans, Flash-Lite runs the high-volume subtasks, document parsing and extraction. On Google's own evaluations it is a large step up from 3.1 Flash-Lite in coding and agent work (Terminal-Bench 2.1 54.0% vs 31.0%, SWE-Bench Pro 54.2% vs 38.3%) and it keeps the 1M-token window and native audio, video and image input. For a buyer: it now handles agent work that needed a Flash model last generation, at $0.30 in / $2.50 out per 1M tokens, but it costs more than the model it replaces and nearly all of its capability numbers come from Google.

Full review →