Calculate the cost of using gemini-3.1-flash-image from Google Gemini for your AI applications
Pricing data last updated:
Mode: Image Generation
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gemini-3.1-flash-image is an image generation model from Google Gemini, one of 6 image generation models they offer. It is priced at $0.50 per 1M input tokens and $3.00 per 1M output tokens, ranking 7 out of 50 image generation models by cost and cheaper than 82% of models in this category. gemini-3.1-flash-image supports vision, web search, prompt caching — one of only 3 image generation models with this combination. Its 131K-token context window is in the top 25% 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 131,072 input tokens. The maximum output length is 32,768 tokens.
At $0.50 per 1M input tokens and $3.00 per 1M output tokens, gemini-3.1-flash-image ranks 7 out of 50 image generation models by input cost. It is more affordable compared to the median of $5.00 for image generation models, and is cheaper than 82% of models in this category.
gemini-3.1-flash-image is one of 6 Google Gemini image generation models, one of only 3 image generation models combining prompt caching, vision, web search. its 131K-token context window places it in the top 25% of image generation models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gemini-3.1-flash-image |
|---|---|---|---|---|
| gemini-3.1-flash-image | Vertex AI | $0.50 | $3.00 | 0% |
| gemini-3.1-flash-image-preview | Vertex AI | $0.50 | $3.00 | 0% |
| gemini-2.5-flash-image | Vertex AI | $0.30 | $2.50 | -40% |
Similar image generation models from other providers
No. gemini-3.1-flash-image costs $0.50 per 1M input tokens while gemini-3.1-flash-image costs $0.50 per 1M input tokens, making gemini-3.1-flash-image 0% more affordable for input. However, gemini-3.1-flash-image may offer different capabilities or performance characteristics that justify the price difference.
gemini-3.1-flash-image input pricing is $0.50 per 1M tokens, which is 90% below the median of $5.00 for image generation models. It ranks 7 out of 50 image generation models by input cost, making it cheaper than 82% of models in this category. For output, it costs $3.00 per 1M tokens compared to the median of $10.00.
Among Google Gemini's 6 image generation models, gemini-3.1-flash-image ranks 3 by input cost. It is the most affordable Google Gemini model with web search support. Its combination of prompt caching, vision, web search is shared by only 2 other image generation models.
The most comparable image generation models to gemini-3.1-flash-image are: gemini-3.1-flash-image from Vertex AI ($0.50/1M input tokens); gemini-3.1-flash-image-preview from Vertex AI ($0.50/1M input tokens); gemini-2.5-flash-image from Vertex AI ($0.30/1M input tokens); gemini-3.1-flash-lite-image from Vertex AI ($0.25/1M 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.
Yes. At $0.50 per 1M input tokens, gemini-3.1-flash-image is the most affordable image generation model that supports web search. This makes it a strong option for web search-dependent workloads where cost efficiency matters.
gemini-3.1-flash-image supports up to 131,072 input tokens, placing it in the top 25% of image generation models by context window size (rank 7 of 28). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
gemini-3.1-flash-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 $0.50 and generating 1M output tokens costs $3.00.