Analysis Summary
Google's Gemini 3.8 Flash has a 40.9 intelligence index, a 76.3 coding index, and a 40.2 agentic index. It accepts text, image, file, audio, and video input, and supports tool use and function calling. The 1.05M-token context window is a practical advantage for long documents and codebases, while its coding capability stands out relative to its reasoning measure.
For an agency, Gemini 3.8 Flash is a strong option for coding assistance, multimodal processing, and high-throughput workflows that benefit from large context. Its agentic measure is less exceptional than its coding result, so complex autonomous tasks should be tested carefully. Listed pricing of $0.75 per million input tokens and $3.75 per million output tokens is more approachable than premium models, making it a useful balance for regular professional workloads.
Assessed September 23, 2026
Editorial notes
Gemini 3.8 Flash pairs strong coding with a 1M-token context, multimodal input, and tool calling at moderate rates, making it a practical high-throughput choice.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Gemini 3.8 Flash pairs strong coding with a 1M-token context, multimodal input, and tool calling at moderate rates, making it a practical high-throughput choice.
Benchmarks
Artificial Analysis data refreshed Oct 12, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control.
How Google: Gemini 3.8 Flash compares
Google: Gemini 3.8 Flash ranks #24 of 436 AI models we track for overall intelligence, #9 of 198 for coding, #27 of 181 for agentic tasks. Its 1M-token context window is larger than 95% of the models we list. At $0.75 per million input tokens it is cheaper than 28% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.75 | $0.000750 |
| Output | $3.75 | $0.003750 |
What would Google: Gemini 3.8 Flash cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
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These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 3.8 Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 3.8 Flash
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
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<a href="https://designforonline.com/ai-models/google-gemini-3-8-flash/"><img src="https://designforonline.com/?aiml_badge=google-gemini-3-8-flash&theme=dark" alt="Google: Gemini 3.8 Flash, ranked #24 on the Design for Online AI Leaderboard" width="400" height="76"></a>
<a href="https://designforonline.com/ai-models/google-gemini-3-8-flash/"><img src="https://designforonline.com/?aiml_badge=google-gemini-3-8-flash&theme=light" alt="Google: Gemini 3.8 Flash, ranked #24 on the Design for Online AI Leaderboard" width="400" height="76"></a>
Frequently asked questions about Google: Gemini 3.8 Flash
How much does Google: Gemini 3.8 Flash cost?
Google: Gemini 3.8 Flash costs $0.75 per million input tokens and $3.75 per million output tokens.
What is the context window of Google: Gemini 3.8 Flash?
Google: Gemini 3.8 Flash has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 3.8 Flash good for coding?
On our coding benchmark index, Google: Gemini 3.8 Flash ranks #9 of 198 models, placing it in the top quartile of the field for code generation and debugging.
What can Google: Gemini 3.8 Flash do?
Google: Gemini 3.8 Flash supports image/vision input, tool use, and function calling.
Who created Google: Gemini 3.8 Flash?
Google: Gemini 3.8 Flash is developed by Google and was released on September 2, 2026.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 12, 2026 8:38 pm