Gemini 3.7 Flash is Google’s natively multimodal reasoning model for coding, agents, web development, and knowledge work. It supports a 1M-token context window and adjustable thinking levels. Compared with Gemini 3.6 Flash, it improves coding, tool use, multi-step planning, and instruction following.
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-3.7-flash
Pricing$0.75$3.75
Cache Read$0.075/M tokens
Input Video$0.75/M tokens
Input Audio$0.75/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
Context1M
Max output65K
Latency6.2S
Throughput64.1TPS
Uptime
98.90% uptime 2 days ago
99.71% uptime yesterday
100.00% uptime today
Google AI Studio gemini-3.7-flash
Pricing$0.75$3.75
Cache Read$0.075/M tokens
Input Video$0.75/M tokens
Input Audio$0.75/M tokens
Web Search$0.014/request
Cache Storage$1/h/M tokens
Context1M
Max output65K
Latency4.5S
Throughput95.9TPS
Uptime
87.98% uptime 2 days ago
92.83% uptime yesterday
93.38% uptime today
Performance for gemini-3.7-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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Throughput
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Try this model
Python