Gemini 3.5 Flash
gemini-3.5-flash
Last refreshed 2026-05-19. Next refresh: weekly.
Gemini 3.5 Flash is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Decision context: Coding task fit, 2 tracked provider routes, and research from 2026-05-19.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 1M context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
Cheapest output
$9.00
GCP Vertex AI per 1M tokens
Provider routes
2
Tracked API hosts
Quality / dollar
Unknown
No task benchmark coverage yet
Freshness
2026-05-19
Researched 1d ago
Top use-case fit
Coding
Included by capability and metadata signals in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Provider price ladder
| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| GCP Vertex AI | $1.50 | $9.00 | $0.750 / $4.50 | read $0.150 | Serverless |
| Google AI Studio | $1.50 | $9.00 | $0.750 / $4.50 | read $0.150 | Serverless |
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.
About
Gemini 3.5 Flash is Google DeepMind's generally available Flash model for sustained frontier-level performance on agentic and coding tasks. It supports multimodal inputs, native thinking, tool and function calling, structured outputs, code execution, search grounding, batch processing, and long contexts up to 1M tokens.
Gemini 3.5 Flash has a 1M-token context window.
Gemini 3.5 Flash input tokens at $1.5/1M, output at $9/1M.
Capabilities
API Versions
gemini-3.5-flash