The newest Gemini Flash model is Gemini 3.8 Flash, released on September 2, 2026. The line's usual gap is about 63 days and 52 have passed, so it is mid-cycle.
How long it has been since the last release against the line's usual gap and its recent ones — the rhythm, not a date.
Latest: Gemini 3.8 Flash · Sep 2, 2026
Every Monday, only when something shipped: the AI models that came out, what each one changed, and which lines are due next.
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Newest first — what each version changed versus the one before, in Google's own numbers.
Scores 89.4% on Terminal-Bench 2.1, up from 85.8% for Gemini 3.7 Flash, at the same introductory price as Gemini 3.7 Flash.
Compared with Gemini 3.7 Flash · the model it replaces
Finishes about 9 in 10 multi-step tasks at the command line
Terminal-Bench 2.1 — running real commands to complete a task
89.4%
▲ up from 85.8% · +3.6 points
Scores 2 points higher on the all-round intelligence index
Artificial Analysis Intelligence Index v4.3.2 — one score averaging 10 hard tests
41
▲ up from 39 · +2 points
Same introductory price as 3.7 Flash
Price per 1M tokens — what developers pay, input / output
$0.75 / $3.75
unchanged · Google's introductory price, set until December 31, 2026
Five points up on the all-round intelligence index over 3.6 Flash and about 40% faster per task, at a discounted $0.75 / $3.75 per 1M tokens through the end of 2026.
Compared with Gemini 3.6 Flash · the model it replaces
Scores 5 points higher on the all-round intelligence index
Artificial Analysis Intelligence Index v4.3.2 — one score averaging 10 hard tests
39
▲ up from 34 · +5 points
Costs the same as the model it replaces
API price per 1M tokens — input / output
$0.75 / $3.75
same as Gemini 3.6 Flash · promotional rate through the end of 2026
Released alongside 3.5 Flash-Lite; Google reported up to 17% fewer tokens used than the previous Flash model.
The lowest-cost model of Google's Flash line, released the same day as 3.6 Flash.
Google's lightweight Flash model: it edges out the bigger Gemini 3.1 Pro on a coding test, while running far more token-efficient than the Flash it replaces — at the same price.
Compared with Gemini 3 Flash · the model it replaces
Scores higher on a coding test than the bigger Gemini 3.1 Pro
Terminal-Bench 2.1 — solving coding tasks from the command line
76.2%
▲ vs 70.3 for 3.1 Pro · +6 points
Uses far fewer tokens to do the same work
Token use — how much text the model burns per task
72% fewer
▲ vs Gemini 3 Flash · same task
Costs $1.50 per million input tokens
Price per 1M tokens — what developers pay, input / output
$1.50 / $9.00
same price as Gemini 3 Flash
Built for high-volume work, Gemini 3.1 Flash-Lite scores 86.9% on GPQA Diamond versus 66.7% for Gemini 2.5 Flash-Lite, but its price per 1M tokens rises from $0.10 / $0.40 to $0.25 / $1.50.
Compared with Gemini 2.5 Flash-Lite · the model it replaces
Answers almost 9 in 10 hard science questions correctly
GPQA Diamond — hard graduate-level science questions, answered without tools
86.9%
▲ up from 66.7% · +20.2 points · 3.1 Flash-Lite at high thinking, 2.5 Flash-Lite at dynamic thinking
Costs more per token than Gemini 2.5 Flash-Lite
Price per 1M tokens — what developers pay, input / output
$0.25 / $1.50
was $0.10 / $0.40 · input up 150%, output up 275%
A Flash model with thinking that developers can turn on or off and limit with a thinking budget, in preview through the Gemini API, Google AI Studio and Vertex AI.
Gemini 2.0 Flash arrived as an experimental model in the Gemini API, and Google says it beats Gemini 1.5 Pro on key benchmarks at twice the speed.
Gemini 1.5 Flash opened in public preview in Google AI Studio and Vertex AI with a 1 million token context window.