Gemini 3.1 Pro Preview is designed to further optimize the performance and reliability of the Gemini 3 Pro series, offering improved reasoning capabilities, greater token efficiency, and a more robust, factually consistent user experience. It is optimized for software-engineering behaviors and usability, and is also suitable for agent workflows that require precise tool invocation and reliable multi-step execution, enabling stable operation across a variety of real-world scenarios.
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-3.1-pro-preview
Pricing$2.000$12.000
Cache Read$0.2/M tokens
Web Search$0.014/request
Cache Storage$4.5/h/M tokens
Pricing$4.000$18.000
Cache Read$0.4/M tokens
Web Search$0.014/request
Cache Storage$4.5/h/M tokens
Context1M
Max output64K
Latency20.3S
Throughput84.4TPS
Uptime
94.06% uptime 2 days ago
99.62% uptime yesterday
99.64% uptime today
Google AI Studio gemini-3.1-pro-preview
Pricing$2.000$12.000
Cache Read$0.2/M tokens
Web Search$0.014/request
Cache Storage$4.5/h/M tokens
Pricing$4.000$18.000
Cache Read$0.4/M tokens
Web Search$0.014/request
Cache Storage$4.5/h/M tokens
Context1M
Max output64K
Latency9.6S
Throughput75.2TPS
Uptime
92.56% uptime 2 days ago
88.75% uptime yesterday
88.26% uptime today
Performance for gemini-3.1-pro-preview
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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