Gemini 3.1 Pro (Preview)
gemini-3.1-pro-previewGoogle's 3rd generation Pro model, built for multimodal understanding, agentic capabilities, and vibe-coding. Built by Google.
Prices updated
Input price
$2.00
per 1M tokens · Standard
Output price
$12
per 1M tokens · Standard
Input limit
1M
tokens
Output limit
66K
tokens
Input formats
Output formats
Gemini 3.1 Pro (Preview) price history
2 price records since 9/25/2026
Gemini 3.1 Pro (Preview) cost calculator
$100/month
Standard pricing
Overview
What is Gemini 3.1 Pro (Preview)?
Gemini 3.1 Pro (Preview) is a text & reasoning and vision and code & slms model from Google. Google's 3rd generation Pro model, built for multimodal understanding, agentic capabilities, and vibe-coding. Its 1M context window and $2.00 input price make it a candidate for quality-focused production applications.
Benchmarks
Gemini 3.1 Pro (Preview) benchmarks & speed
How Gemini 3.1 Pro (Preview) scores on standardized evaluations, and where it lands among every model we track.
29.7
Intelligence Index
120tok/s
Output speed
1235
DesignArena Elo
Reasoning
GPQA Diamond
94.1%
Graduate-level scientific reasoning · top 4%
HLE
47.0%
Humanity's Last Exam · top 8%
Coding
SciCode
58.7%
Python for scientific computing · top 11%
Latency & design
- Time to first token
- 25.66s
- DesignArena win rate
- 54.4%
- Design battles judged
- 47,240
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Gemini 3.1 Pro (Preview) pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$2.00
Per 1M tokens
Cached input · Standard
$0.20
Per 1M tokens
Capabilities
Gemini 3.1 Pro (Preview) Tools
Tools available when using Gemini 3.1 Pro (Preview) through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Not supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Where to run it
Gemini 3.1 Pro (Preview) API providers
6 providers serve Gemini 3.1 Pro (Preview). Prices are per 1M tokens; uptime is the last 24 hours.
| Provider | Input | Output | Cached | Context | Uptime |
|---|---|---|---|---|---|
| $1.00 | $6.00 | $0.10 | 1M | 94.95% | |
| Google AI Studio | $1.00 | $6.00 | $0.10 | 1M | 99.96% |
| $2.00 | $12 | $0.20 | 1M | 99.38% | |
| Google AI Studio | $2.00 | $12 | $0.20 | 1M | 99.55% |
| $3.60 | $22 | $0.36 | 1M | 99.73% | |
| Google AI Studio | $3.60 | $22 | $0.36 | 1M | 98.35% |
- Input
- $1.00
- Output
- $6.00
- Cached
- $0.10
- Context
- 1M
- Uptime
- 94.95%
- Input
- $1.00
- Output
- $6.00
- Cached
- $0.10
- Context
- 1M
- Uptime
- 99.96%
- Input
- $2.00
- Output
- $12
- Cached
- $0.20
- Context
- 1M
- Uptime
- 99.38%
- Input
- $2.00
- Output
- $12
- Cached
- $0.20
- Context
- 1M
- Uptime
- 99.55%
- Input
- $3.60
- Output
- $22
- Cached
- $0.36
- Context
- 1M
- Uptime
- 99.73%
- Input
- $3.60
- Output
- $22
- Cached
- $0.36
- Context
- 1M
- Uptime
- 98.35%
Strengths and limitations
Strengths
- Measured results (AA Intelligence 29.7 · DesignArena Elo 1235 · Arena Elo 1272 · MMLU-Pro 85.6%) position it for demanding production work.
- 1M context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision and code & slms workloads in one model.
Limitations
- Generated tokens cost 6× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider