Gemini 3.6 Flash
gemini-3.6-flash
Total Context
1M
Max Output
65.5K
Released
N/A
Input$1.5 / M tokens
Output$7.5 / M tokens
Gemini 3.7 Flash
gemini-3.7-flashGemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step problem solving.
Context Window
1M tokens
Maximum Output
65.5K tokens
Release Date
Aug 13, 2026
Modalities
Gemini 3.7 Flash Pricing
| Input Price | Output Price | Cache Read |
|---|---|---|
| $0.375/M | $1.875/M | $0.0375/M |
Gemini 3.7 Flash API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Supported
Knowledge Base
2026-03-01
Endpoint Protocols
Completions APIMessages API
Gemini 3.7 Flash Model Highlights
Gemini 3.7 Flash combines native multimodal reasoning, adjustable thinking, and a one-million-token input context for broad analysis workloads.
Multimodal Reasoning
The model reasons across text, images, video, audio, and PDF inputs while producing text responses.
Adjustable Thinking
Low, medium, and high thinking levels let developers align reasoning depth with workload complexity.
Million-Token Input
An input limit of 1,048,576 tokens supports extensive documents and large collections of multimodal material in one request.
Gemini 3.7 Flash Use Cases
Gemini 3.7 Flash is suited to multimedia analysis, long-document synthesis, and reasoning over mixed-format technical information.
Multimedia Content Analysis
Analyze images, recorded audio, and video together with text to identify events, themes, and supporting evidence.
Long-Document Synthesis
Process extensive PDFs and text collections, trace related details, and produce organized summaries or extracted findings.
Technical Information Review
Compare specifications, diagrams, logs, and explanatory text to answer complex questions and document the reasoning.
How to Use Gemini 3.7 Flash via the TokenHub API
import OpenAI from "openai"
const client = new OpenAI({
apiKey: process.env.TOKENHUB_API_KEY,
baseURL: "https://us-api.tokenhub.com/v1",
})
const result = await client.chat.completions.create({})
console.log(result.choices[0]?.message?.content)Gemini 3.7 Flash Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 56 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 76.1 |
Metrics sourced from Artificial Analysis
Gemini 3.7 Flash FAQs
Common questions about using Gemini 3.7 Flash on TokenHub.
What is Gemini 3.7 Flash?+
Gemini 3.7 Flash is Google’s Flash-series workhorse model for coding, agents, web development, and complex knowledge work.
What is Gemini 3.7 Flash best for?+
It is well suited to software engineering, debugging, multi-step agent workflows, UI and web generation, and document-heavy knowledge tasks.
What are its main strengths?+
Google highlights stronger instruction following, multi-step planning, tool use, first-pass code quality, and design adherence than Gemini 3.6 Flash.
What tradeoffs should I consider, and when should I choose another model?+
Review important outputs and test representative prompts. Choose another model when its quality, latency, supported features, or TokenHub price better matches your workload.
How can I use Gemini 3.7 Flash through TokenHub, and what is known about availability?+
Select the model in a TokenHub API request and use your account endpoint and credentials. Google lists it for the Gemini API and AI Studio; Google’s introductory API price is $0.75 per million input tokens and $3.75 per million output tokens through 2026.
Ready to use Gemini 3.7 Flash?
Use one API key to access Gemini 3.7 Flash and more AI models through TokenHub.
Gemini 3.7 Flash Media and Demos
Verified public posts, videos, and discussions about Gemini 3.7 Flash.
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