Google
99.74%Context1M
Max output64K
p50 latency6,166 ms
Throughput101.0 t/s
Input price$2
Output price$12
No trainingCaching
Model directory
Baseer model profileLanguage model
google/gemini-3.1-pro-preview
Gemini 3.1 Pro Preview
Improved SWE and agentic capabilities, improved token efficiency and thinking, and expanded thinking levels.
Input / 1M tokens$2
Output / 1M tokens$12
Maximum context1M
Inference providers2
Price comparison
USD per one million tokens, using current provider data.
Provider latency
Last-hour p50 in milliseconds; lower is better.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
Vertex
99.99%Context1M
Max output64K
p50 latency4,915 ms
Throughput105.0 t/s
Input price$2
Output price$12
Zero retentionNo trainingCaching
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Google | 1M | 64K | 6,166 ms | 101.0 t/s | 99.743% | $2 | $12 | |
Vertex | 1M | 64K | 4,915 ms | 105.0 t/s | 99.991% | $2 | $12 |
What can this model do?
Available modalities and capabilities across inference providers.
TextImageFileAdvanced reasoningFile inputTool useVisionWeb searchAutomatic cachingTools
Reasoning options
LowMediumHigh
Technical profile
- Model type
- Language model
- Release date
- Feb 19, 2026
- Knowledge cutoff
- 2025-01
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- Supported
Model identifier
google/gemini-3.1-pro-previewModel profile updated: Sep 12, 2026, 1:46 PM
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