Calculate the cost of using gemini-3-pro-image from Google Gemini for your AI applications
Pricing data last updated:
Mode: Image Generation
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gemini-3-pro-image is an image generation model from Google Gemini, one of 6 image generation models they offer. It is priced at $2.00 per 1M input tokens and $12.00 per 1M output tokens, ranking 15 out of 29 image generation models by cost and cheaper than 48% of models in this category. gemini-3-pro-image supports vision. Its 200K-token context window is in the top 8% among image generation models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 200,000 input tokens. The maximum output length is 4,096 tokens.
At $2.00 per 1M input tokens and $12.00 per 1M output tokens, gemini-3-pro-image ranks 15 out of 29 image generation models by input cost. It is competitively priced compared to the median of $2.00 for image generation models, and is cheaper than 48% of models in this category.
gemini-3-pro-image is one of 6 Google Gemini image generation models, with support for vision. its 200K-token context window places it in the top 8% of image generation models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gemini-3-pro-image |
|---|---|---|---|---|
| gemini-3-pro-image-preview | Vertex AI | $2.00 | $12.00 | 0% |
| deep-research-pro-preview-12-2025 | Vertex AI | $2.00 | $12.00 | 0% |
| gpt-image-1-mini | Azure | $2.00 | - | 0% |
Similar image generation models from other providers
No. gemini-3-pro-image costs $2.00 per 1M input tokens while gemini-3-pro-image-preview costs $2.00 per 1M input tokens, making gemini-3-pro-image-preview 0% more affordable for input. However, gemini-3-pro-image may offer different capabilities or performance characteristics that justify the price difference.
gemini-3-pro-image input pricing is $2.00 per 1M tokens, which is 0% at the median of $2.00 for image generation models. It ranks 15 out of 29 image generation models by input cost, making it cheaper than 48% of models in this category. For output, it costs $12.00 per 1M tokens compared to the median of $10.00.
Among Google Gemini's 6 image generation models, gemini-3-pro-image ranks 6 by input cost.
The most comparable image generation models to gemini-3-pro-image are: gemini-3-pro-image-preview from Vertex AI ($2.00/1M input tokens); deep-research-pro-preview-12-2025 from Vertex AI ($2.00/1M input tokens); gpt-image-1-mini from Azure ($2.00/1M input tokens); MAI-Image-2.5-Flash from Azure ($1.75/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
gemini-3-pro-image supports up to 200,000 input tokens, placing it in the top 8% of image generation models by context window size (rank 1 of 13). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
gemini-3-pro-image is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $2.00 and generating 1M output tokens costs $12.00.
