Google: Gemini 3.6 Flash
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and...
Anyone in the Project can @-mention Google: Gemini 3.6 Flash with the team's shared context - pooled credits, one chat, one memory.
Starter is free forever - 1 Project, 100 credits/month, 1 MCP. No card.
Verdict
Best for
- High-volume document processing pipelines
- Video content analysis and summarization
- Audio transcription with contextual reasoning
- Cost-sensitive multimodal prototyping
- Long-context customer support workflows
Strengths
The 1M token context window lets you process entire codebases, multi-hour meeting recordings, or book-length documents in a single call. Multimodal support spans text, image, video, file, and audio — rare breadth at this price point. At $1.50 input and $7.50 output per million tokens, it undercuts GPT-4o by roughly 67% on input and 50% on output, making it viable for high-volume batch jobs where cost compounds quickly.
Trade-offs
No public benchmarks means you cannot compare reasoning quality, instruction-following accuracy, or coding performance against Claude Sonnet, GPT-4o, or Llama 3.3. Early Flash models historically lagged frontier models on complex multi-step reasoning and nuanced instruction adherence. The output pricing ($7.50/Mtok) climbs steeply for generation-heavy tasks like creative writing or long-form content, eroding the cost advantage. Without MMLU, HumanEval, or GPQA scores, you're testing blind.
Specifications
- Provider
- Category
- llm
- Context length
- 1,048,576 tokens
- Max output
- 65,536 tokens
- Modalities
- text, image, video, file, audio
- License
- proprietary
- Released
- 2026-07-21
Pricing
- Input
- $0.75/Mtok
- Output
- $3.75/Mtok
- Model ID
google/gemini-3.6-flash
Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.
Team cost calculator
5 seats · 80 msgs/day
Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.
Providers
Performance
Benchmarks
Works well with
Top MCPs
Compatibility data comes from first-party telemetry; once we have enough co-usage signal, top MCPs for this model will appear here.
How Switchy teams use it
Starter prompts
Summarize Long Video
Watch this video and provide a structured summary with timestamps for each major topic discussed. Highlight any action items or decisions made.Open in a Project →
Analyze Support Transcript
Review this support chat transcript and identify: 1) the root cause of the issue, 2) which response resolved it, 3) any gaps in our help documentation.Open in a Project →
Extract Data from PDFs
Extract all line items, dates, and totals from this invoice PDF. Return the data as a JSON array with fields: description, quantity, unit_price, total.Open in a Project →
Transcribe and Tag Audio
Transcribe this meeting recording. Label each speaker, tag topics discussed, and list all action items with assigned owners.Open in a Project →
Compare Document Versions
Compare these two contract versions and list every substantive change. Ignore formatting differences and focus on terms, clauses, and obligations.Open in a Project →
Compare with
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