Analysis Summary
Google: Gemini 3.8 Flash is Google’s entry in the Gemini 3 line-up. Released in September 2026, it is one of the newest models we cover. For raw reasoning ability it ranks #9 of 433, putting it in among the very best models we track for overall intelligence.
Google: Gemini 3.8 Flash is particularly strong at software work, placing #8 of 206 for coding. For agentic automation it sits at #22 of 188, handling the multi-step, tool-using tasks that power AI agents. Its 1M-token context window is larger than 94% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, Google: Gemini 3.8 Flash combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $0.750 input and $3.75 output per 1M tokens, Google: Gemini 3.8 Flash is cost-efficient for everyday workloads so it scales comfortably across routine production traffic. Google: Gemini 3.8 Flash is worth evaluating where Google’s ecosystem and the model’s specific capabilities fit your workflow.
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How Google: Gemini 3.8 Flash compares
Google: Gemini 3.8 Flash ranks #9 of 433 AI models we track for overall intelligence, #8 of 206 for coding, #22 of 188 for agentic tasks. Its 1M-token context window is larger than 94% of the models we list. At $0.75 per million input tokens it is cheaper than 32% 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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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 #8 of 206 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: September 3, 2026 8:38 pm