gemini-3.8-flash — API, Pricing & Context Window | Vivgrid
gemini-3.8-flash on Vivgrid: Google's newest fast agentic model with a 1M-token context window, 128K max output, and full text, image, video, audio, and PDF input.
gemini-3.8-flash is Google's newest fast Gemini model, built for agentic coding loops and multi-step tool use. It keeps the line's 1M-token context window, doubles the max output to 128K tokens, and accepts text, image, video, audio, and PDF inputs.
On Vivgrid, gemini-3.8-flash runs as a globally centralized model reachable through the same OpenAI-compatible endpoint and unified key as every other model in the catalog.
Specifications
| Provider | |
| Model ID | gemini-3.8-flash |
| Best for | Coding |
| Available on | Chat Completions, Vibe coding |
| Context window | 1,000,000 tokens |
| Max output | 128,000 tokens |
| Modalities | Text, Image, Video, Audio, PDF |
| Tool / function calling | Yes |
| Knowledge cutoff | 2026-08 |
| Acceleration | 🌐 Global (Centralized) |
Pricing
Pricing in USD per 1M tokens, matching the provider's rates.
| Input | Cached input | Output |
|---|---|---|
| $0.75 | $0.15 | $3.75 |
What one request costs
The rates above applied to a 20K-token prompt with a 2K-token reply — a typical single agent turn, small enough that every request is billed at the base rate.
| Request | Cost |
|---|---|
| Cold prompt, nothing cached | $0.0225 |
| Warm prompt, 90% of the input served from cache | $0.0117 |
Input and output are priced identically to gemini-3.7-flash at $0.75 per 1M input tokens and $3.75 per 1M output tokens. Cached input is $0.15 per 1M — twice gemini-3.7-flash's introductory cached rate — so cache-heavy workloads should compare the two before switching.
API surfaces
The Vivgrid Console catalogs gemini-3.8-flash on 2 surfaces, all behind the same API key. The endpoint shown is the one the Console previews for that surface.
| Surface | Primary endpoint | Use it for |
|---|---|---|
| Chat Completions | /chat/completions | Agent projects, where Vivgrid injects the model, system prompt and tools server-side, and Model API calls that name the model per request. |
| Vibe coding | /chat/completions | Coding CLIs and IDE agents that drive the model themselves — point the tool at Vivgrid and keep your own loop. |
Quick start
Get an API key from the Vivgrid Console, then call gemini-3.8-flash directly.
curl https://api.vivgrid.com/v1/chat/completions \
-H "Authorization: Bearer $VIVGRID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.8-flash",
"messages": [
{ "role": "user", "content": "Say hello in English, Chinese and Spanish." }
],
"stream": true
}'Choosing within the Gemini 3 family
Prices are USD per 1M tokens at the base rate. Rows marked this page are the model described here.
| Model | Context | Max output | Input | Output |
|---|---|---|---|---|
gemini-3.1-pro-preview | 1,048,576 | 65,536 | $3.00 | $12.00 |
gemini-3.8-flash — this page | 1,000,000 | 128,000 | $0.75 | $3.75 |
gemini-3.7-flash | 1,000,000 | 64,000 | $0.75 | $3.75 |
gemini-3.6-flash | 1,000,000 | 64,000 | $0.75 | $3.75 |
gemini-3.5-flash | 1,000,000 | 65,536 | $1.50 | $9.00 |
gemini-3.1-flash-lite-preview | 1,048,576 | 65,536 | $0.25 | $1.50 |
Ideal use cases
- Rapid agentic loops with heavy tool calling
- Long-form generation that needs more than a 64K output ceiling
- Long-context understanding up to 1M tokens
- High-volume multimodal reasoning and summarization
Related models
- gemini-3.7-flash — prior flash generation, cheaper cached input
- gemini-3.1-pro-preview — higher-end Gemini for coding
- claude-fable-5-1 — Anthropic's most capable model
deepseek-v4-pro
deepseek-v4-pro on Vivgrid: DeepSeek's flagship coding model with a 1M-token context window, up to 384K output tokens, and competitive pricing.
gemini-3.7-flash
gemini-3.7-flash on Vivgrid: Google's latest fast agentic model with a 1M-token context window, at introductory pricing through 2026.