Gemini-3.1-pro-preview-search integrates Google's official search functionality; the search feature incurs an additional separate fee log directly incorporated into the scoring, but the log details are not displayed; this will be fixed in the future to show the details; it only supports OpenAI-compatible format calls and does not support the Gemini SDK; for the Gemini native SDK, please directly set the official search parameters.
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-search
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
Latency10.0S
Throughput88.4TPS
Uptime
93.57% uptime 2 days ago
99.30% uptime yesterday
99.37% uptime today
Google AI Studio gemini-3.1-pro-preview-search
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
Latency8.8S
Throughput84.2TPS
Uptime
82.15% uptime 2 days ago
97.25% uptime yesterday
89.02% uptime today
Performance for gemini-3.1-pro-preview-search
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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