Gemini 3.1 Pro
GoogleGemini 3.1 Pro by Google costs $1.25/M input, $10/M output with 1.0M context window. Updated February 2026. Compare with GPT-5, Claude, Gemini & 40+ models.
Input Price
$1.25
per 1M tokens
Output Price
$10.00
per 1M tokens
Context Window
1.0M
tokens
Specifications
| Provider | |
| Model ID | gemini-3-1-pro |
| Input Price | $1.25 / 1M tokens |
| Output Price | $10 / 1M tokens |
| Context Window | 1.0M tokens |
| Max Output | 16K tokens |
| Capabilities | textvisionaudiofunction_callingstructured_output |
| Release Date | 2026-02 |
| Notes | 77.1% ARC-AGI-2. Full multimodal with native video understanding. |
Monthly Cost Estimates
Estimated monthly costs based on different daily usage levels (assuming 50% input / 50% output split).
| Daily Tokens | Monthly Cost | Annual Cost |
|---|---|---|
| 10K | $1.69 | $20.25 |
| 50K | $8.44 | $101.25 |
| 100K | $16.88 | $202.50 |
| 500K | $84.38 | $1012.50 |
| 1.0M | $168.75 | $2025.00 |
About Gemini 3.1 Pro
Gemini 3.1 Pro is a large language model by Google. It features a 1.0M token context window with up to 16K tokens of output per request. The model supports 5 capabilities: text, vision, audio, function_calling, structured_output.
At $1.25 per million input tokens and $10 per million output tokens, Gemini 3.1 Pro is positioned as a mid-range option in the Google lineup. Use our Token Counter to estimate how many tokens your prompts use, and our Pricing Calculator to compare costs across all models.
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FAQ
How much does Gemini 3.1 Pro cost?
Gemini 3.1 Pro costs $1.25 per million input tokens and $10 per million output tokens. For a typical workload of 100K tokens/day, expect approximately $18.75/month.
What is Gemini 3.1 Pro's context window?
Gemini 3.1 Pro supports a context window of 1.0M tokens. This means your combined input prompt and output response can be up to 1.0M tokens. The maximum output per response is 16K tokens.
Is Gemini 3.1 Pro good for my use case?
Gemini 3.1 Pro supports text, vision, audio, function_calling, structured_output. As a mid-range model, it balances capability and cost for most production use cases. Use our Pricing Calculator to compare with alternatives.