Gemini 3.8 Flash
Gemini 3.8 Flash is a chat model from Google in the Gemini Flash line, a series positioned for speed-oriented, high-throughput text generation.
API Pricing
Cheapest on Google Cloud — 41% below avg| Provider | Input / 1M | Output / 1M | Cached / 1M |
|---|---|---|---|
| $0.375 | $1.88 | $0.037 | |
| $0.375 | $1.88 | $0.037 | |
| $0.750 | $3.75 | $0.075 | |
| $0.750 | $3.75 | - | |
| $0.750 | $3.75 | $0.075 | |
| $0.825 | $4.13 | $0.083 |
Prices updated daily. Last check: Oct 18, 2026
Compare API pricing for every Gemini model →Gemini 3.8 Flash pricing by provider
Input, output, and batch rates, plus alternatives, for one provider at a time.
Performance & Benchmarks
Source: Artificial Analysis →Reasoning & Knowledge
- GPQA Diamond95.3%
- Humanity's Last Exam47.8%
Coding
- SciCode56.6%
Agentic & Tool Use
- Terminal-Bench v2.187.6%
- τ-bench Banking44.9%
Instruction & Long Context
- Long-Context Reasoning81.3%
Benchmarks measured Oct 2026. Scores are independent evaluations, not vendor-reported.
Model Details
General
- Creator
- Modalities
- Text
Capabilities
- Open Source
- No
Strengths & Limitations
Strengths
- Measured output throughput of approximately 392 tokens per second (Artificial Analysis), placing it in the fast-generation category
- Flash-tier positioning within the Gemini family, a line Google uses for latency- and volume-sensitive workloads
- High token rate makes long-form generation complete quickly once streaming begins
- Backed by Google's Gemini infrastructure, which typically offers both direct API access and cloud platform availability
- Chat/instruction-following model suitable as a general-purpose backend for assistants and content pipelines
- Throughput profile suits streaming UIs where users read output as it is produced
Limitations
- Measured time to first token of roughly 5,045 ms is high, which is noticeable in short-turn or interactive chat use
- We do not currently track a confirmed context window for this model
- No accuracy or reasoning benchmark scores are recorded in our database for Gemini 3.8 Flash
- Flash-tier models in general trade some capability for speed compared with larger siblings in the same family
- Modality support (image, audio, or video input) is not confirmed in our metadata
Key Features
About Gemini 3.8 Flash
Common Use Cases
Gemini 3.8 Flash fits workloads where a large volume of generated text matters more than minimizing the delay before the first word appears. Its measured ~392 tokens per second output rate suits batch summarization, document drafting, long-form content generation, structured data extraction over many records, and background agent steps where responses are consumed asynchronously. The recorded ~5-second time to first token makes it a weaker fit for latency-critical interactive experiences such as voice assistants or autocomplete, where users perceive the initial pause directly. As a Flash-tier Gemini model, it is generally chosen when per-request cost and generation speed are the binding constraints and the task does not demand the heaviest reasoning available in the family; for tasks requiring maximum accuracy on hard reasoning or coding problems, teams typically evaluate a larger Gemini tier alongside it.
Frequently Asked Questions
How much does Gemini 3.8 Flash cost?
Pricing varies by provider and by pricing type — input versus output tokens, cached input, and batch or committed-use discounts all differ between vendors and change over time. See the pricing table on this page for current rates across the providers we track.
What is Gemini 3.8 Flash best used for?
It is best suited to high-volume text generation where throughput matters: summarization, drafting, extraction across many documents, and background or batched agent tasks. Its high measured output rate helps most on longer completions.
How fast is Gemini 3.8 Flash?
Artificial Analysis measures roughly 392 output tokens per second with a time to first token of about 5,045 ms. In practice that means responses start relatively slowly but then stream quickly, so total latency is competitive for long outputs and less so for short ones.
What context window does Gemini 3.8 Flash support?
We do not have a confirmed context window recorded for this model in our database, so we do not state one here. Check Google's official Gemini model documentation for the current specification.
How does Gemini 3.8 Flash compare to larger Gemini models?
Flash-tier Gemini models are positioned for speed and lower per-request cost, while larger tiers in the family target harder reasoning and more demanding tasks. If your workload is throughput-bound and tolerant of a Flash-tier capability level, this model is the cheaper side of that trade-off; if accuracy on complex problems is the priority, compare against a larger Gemini tier.