Gemini 3.5 Flash provides sustained frontier-level intelligence optimized for real-world tasks at a higher speed and lower cost. Designed for the agentic era, it excels at sub-agent deployment, multi-step workflows, and long-horizon tasks at scale. This model is particularly effective for rapid agentic loops involving complex coding cycles and iterations.
Pricing
Input Modalities
- Text
- Vision
- Audio
- Video
Output Modalities
- Text
Context length
- 1.05M tokens
Max output
- 65.5K tokens
Capabilities
- Thinking
- Streaming
- Tool calling
- Web search
- URL context
- Code interpreter
- Computer use
- File search
- Memory tool
- Structured outputs
- Citations
- Prompt caching
- Background mode
- Server-side sessions
Providers
VertexAI gemini-3.5-flash
Pricing$1.500$9.000
Cache Read$0.15/M tokens
Input Video$1.5/M tokens
Input Audio$3/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
Context1M
Max output64K
Latency4.0S
Throughput72.6TPS
Uptime
98.49% uptime 2 days ago
90.83% uptime yesterday
95.84% uptime today
Google AI Studio gemini-3.5-flash
Pricing$1.500$9.000
Cache Read$0.15/M tokens
Input Video$1.5/M tokens
Input Audio$3/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
Context1M
Max output64K
Latency11.2S
Throughput118.9TPS
Uptime
99.97% uptime 2 days ago
99.41% uptime yesterday
95.19% uptime today
Performance for gemini-3.5-flash
Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).
Uptime
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Latency
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Try this model
Python
