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 3.5 Flash
gemini-3.5-flashGemini 3.5 Flash is described by Google as a fast, cost-efficient frontier model for real-world agentic tasks. Official materials emphasize stronger coding, multi-step execution, multimodal reasoning, and long-context ability, while keeping latency and price lower than larger flagship models. It should be positioned as a high-speed agent model, not just a cheap chat model.
Context Window
1M tokens
Maximum Output
65.5K tokens
Release Date
May 19, 2026
Modalities
Gemini 3.5 Flash Pricing
| Input Price | Output Price | Cache Read | Cache Create 5m |
|---|---|---|---|
| $1.5/M | $9/M | $0.15/M | $0.0833/M |
Gemini 3.5 Flash API Capabilities
Reasoning
Supported
Tool calling
Supported
Temperature parameter
Supported
Attachments
Supported
Knowledge Base
2025-01-01
Endpoint Protocols
Messages APIgeminiCompletions API
Gemini 3.5 Flash Model Highlights
Gemini 3.5 Flash combines fast agentic execution, capable coding and native multimodal understanding for long-running workflows at scale.
Fast Agentic Execution
Plans, acts and iterates rapidly across multi-step workflows, making it suitable for repeated agent feedback loops.
Agentic Coding
Handles complex coding cycles involving planning, implementation, testing and iterative correction across a codebase.
Native Multimodal Context
Processes text, images, video, audio and PDFs within a context window exceeding one million input tokens.
Gemini 3.5 Flash Use Cases
Gemini 3.5 Flash is suited to collaborative sub-agent systems, codebase modernization and long multimodal document analysis.
Collaborative Sub-Agent Workflows
Deploy focused agents in parallel to research, build and review separate parts of a larger multi-step objective.
Codebase Modernization
Analyze a legacy repository, plan framework or architecture changes and iteratively migrate code while running checks.
Multimodal Document Analysis
Review long PDFs containing text, charts, images or embedded media, extract key evidence and generate structured findings.
How to Use Gemini 3.5 Flash via the TokenHub API
curl 'https://us-api.tokenhub.com/v1/messages' \
-X 'POST' \
-H "Authorization: Bearer $TOKENHUB_API_KEY"Gemini 3.5 Flash Benchmarks
| Index score | ||
|---|---|---|
| Artificial Analysis Intelligence Index | Artificial Analysis broad capability aggregate | 34.9 |
| Artificial Analysis Coding Index | Artificial Analysis software task aggregate | 47.1 |
| Knowledge & Reasoning | ||
| GPQA | Advanced science problem solving | 82.8% |
| HLE | Broad expert-level exam set | 23.1% |
| Coding & Engineering | ||
| SciCode | Scientific coding challenges | 48.8% |
| Terminal-Bench Hard | Hard terminal task execution | 46.2% |
| Instruction Following & Agent Tasks | ||
| IFBench | Prompt constraint adherence | 47.3% |
| AA-LCR | Long-context reasoning | 53.3% |
| τ²-Bench | Agent workflow tasks | 58.8% |
Metrics sourced from Artificial Analysis
Frequently asked questions about Gemini 3.5 Flash
Understand what Gemini 3.5 Flash is, its best uses, distinguishing strengths, practical tradeoffs, and safe TokenHub integration guidance.
How should developers understand the role of Gemini 3.5 Flash?+
Gemini 3.5 Flash is Google’s current Flash model for fast, scalable agentic and multimodal workloads. It is a current public model in its provider’s documentation, though availability can vary by platform.
When does Gemini 3.5 Flash deliver the most practical value?+
Best-fit scenarios include high-volume agent loops and sub-agent orchestration, difficult software-engineering tasks, and analysis of text and visual inputs. Test representative inputs and define measurable acceptance criteria before production.
What are the most useful characteristics of Gemini 3.5 Flash?+
Key strengths include a strong balance of quality, speed, and cost, fast response times, and reliable execution of multi-step agent workflows. This combination is especially useful for difficult software-engineering tasks.
What are the practical limits of Gemini 3.5 Flash?+
Consider another model when the task needs the strongest Pro-tier reasoning, the application needs this text model to return generated images directly, or the workflow cannot include human review for important decisions. Verify important factual, legal, financial, medical, or operational outputs with qualified human review.
How should developers call Gemini 3.5 Flash through TokenHub?+
In TokenHub, select the exact model identifier displayed for Gemini 3.5 Flash, use the endpoint documented for your account, and authenticate with your TokenHub credentials. Confirm the TokenHub-exposed input types, tools, grounding options, and model lifecycle rather than assuming full Gemini API parity.
Ready to use Gemini 3.5 Flash?
Use one API key to access Gemini 3.5 Flash and more AI models through TokenHub.
Media and Discussions
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