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Gemini 3.8 Flash

Gemini 3.8 Flash sits inside Google's Gemini Flash family as a fast, scalable model built to power coding assistants and agentic workflows. On the official DeepMind product page it is introduced as the company's "most intelligent workhorse model yet for coding and agents," with the headline framing "Best for tackling complex agentic tasks at scale." That positioning suggests a design priority on low-latency reasoning that can be invoked repeatedly inside multi-step tool loops, rather than a single-turn conversationalist. For developers, this points to a model suited to routing, planning, and orchestration layers of agent stacks where responsiveness matters as much as raw answer quality.

Access to Gemini 3.8 Flash is offered directly through Google's own surfaces: a consumer entry point in the Gemini app and a developer path into Google AI Studio, where the chat URL is preconfigured with model=gemini-3.8-flash. Independent reporting in an Ars Technica discussion thread frames the release as part of a notably rapid Flash iteration cadence, characterizing it as Google's third Flash model released within roughly six weeks. That quick-turn release pattern signals that the Flash line is being treated as an actively evolving workhorse family, giving teams a reason to design integrations that can flex with successive versions rather than lock to a single snapshot.

NanoGPTgoogle/gemini-3.8-flashgemini-flash

Quick Info

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Provider
NanoGPT
Model key
google/gemini-3.8-flash
Release date
Sep 2, 2026
Last updated
Sep 2, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.75
Output token cost
$3.75

Limits

Input tokens
1,048,576 tokens
Output tokens
65,536 tokens
Context window
1,048,576 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about Gemini 3.8 Flash

NanoGPT

CoverageRelease Notes

Ars Technica's September 2, 2026 report frames Gemini 3.8 Flash as Google's third Flash model release in six weeks and its best reasoning and coding Flash to date, with the article noting that Google has not shipped a frontier Gemini Pro model since early 2026. It details two variants: the standard Flash positioned as The piece reports Google's introductory API pricing of $0.75 per million input tokens and $3.75 per million output tokens through year-end, after which regular pricing will be $1.50/$7.50, and highlights that Gemini 3.8 Flash now tops the DeepSWE software-engineering leaderboard at a lower cost than rivals. It also fla

NanoGPT

CoverageBenchmark

DataCamp's feature explainer confirms that Google released Gemini 3.8 Flash on September 2, 2026, billing it as the company's most intelligent Flash-tier model and its third Flash release in six weeks. Alongside it, Google introduced Gemini 3.8 Flash Cyber, a variant tuned for cybersecurity work that is available only The article highlights Gemini 3.8 Flash's gains over 3.7 Flash on coding-heavy benchmarks, including 90.8% on Terminal-Bench 2.1 (up from 81.6%) and a top position on DeepSWE v1.1 for long-horizon software engineering, while gains on Humanity's Last Exam were essentially flat at 45.4% versus 45.7%. Pricing is held at $

NanoGPT

Official sourceOfficial

NanoGPT has added Google's Gemini 3.8 Flash (model key google/gemini-3.8-flash) to its catalog, with the listing dated September 2, 2026. The page describes it as Google's fast multimodal model aimed at agentic workloads such as coding, tool use, image understanding, PDF and document extraction, audio, and video, notin Key technical specs on the listing include a 1.0M token context window, a 65.5K max output, and Artificial Analysis benchmark scores: Intelligence Index 46.8 (better than 94% of models compared), Coding Index 74.1 (better than 90%), Agentic Index 50.0 (better than 93%), GPQA Diamond 93.5%, HLE 42.1%, AA-LCR 84.0%, and

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