--- title: "gemini-1.5-flash Cost Calculator - Google Gemini" description: "Calculate the cost of using gemini-1.5-flash from Google Gemini. Input costs $0.07 and output $0.0000 per 1M tokens." url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/gemini/model/gemini-1.5-flash" markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/gemini/model/gemini-1.5-flash.md" --- # gemini-1.5-flash Cost Calculator - Google Gemini > Calculate the cost of using gemini-1.5-flash from Google Gemini. Input costs $0.07 and output $0.0000 per 1M tokens. ## Important Links - [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md) - [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/#features) - [Enterprise](https://www.getmaxim.ai/enterprise) - [Pricing](https://www.getmaxim.ai/pricing) - [Docs](https://docs.getbifrost.ai) - [GitHub](https://github.com/maximhq/bifrost) - [Book a Demo](https://www.getmaxim.ai/book-a-demo) ## About gemini-1.5-flash gemini-1.5-flash is an embedding model from Google Gemini, one of 4 embedding models they offer. It is priced at $0.07 per 1M input tokens and $0.0000 per 1M output tokens, ranking 58 out of 150 embedding models by cost and cheaper than 61% of models in this category. It accepts up to 8K input tokens. ## Pricing Published Google Gemini pricing for gemini-1.5-flash. - **$0.07 / 1M tokens Input.** - **$0.0000 / 1M tokens Output.** ## Technical Specifications - **Embedding Mode.** - **8,192 Max Input Tokens.** - **8,192 Max Tokens.** ## How Pricing Compares At $0.07 per 1M input tokens and $0.0000 per 1M output tokens, gemini-1.5-flash ranks 58 out of 150 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 61% of models in this category. | Model | Provider | Input $/1M | Output $/1M | vs gemini-1.5-flash | | --- | --- | --- | --- | --- | | qwen3-embedding-0.6b | Novita | $0.07 | $0.0000 | -7% | | qwen3-embedding-8b | Novita | $0.07 | $0.0000 | -7% | | snowflake-arctic-embed-l-v2.0 | Snowflake | $0.07 | $0.0000 | -7% | | snowflake-arctic-embed-m-v2.0 | Snowflake | $0.07 | $0.0000 | -7% | | text-embedding-3-large:batch | OpenRouter | $0.07 | - | -13% | ## More from Google Gemini - [gemini-embedding-001 ($0.15/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/gemini/model/gemini-embedding-001.md) - [gemini-embedding-2-preview ($0.20/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/gemini/model/gemini-embedding-2-preview.md) - [gemini-embedding-2 ($0.20/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/gemini/model/gemini-embedding-2.md) ## Related Resources - [gemini-1.5-flash specifications](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library/compare/gemini/gemini-1.5-flash.md) - [All Google Gemini pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/gemini.md) ## FAQ ### Is gemini-1.5-flash cheaper than qwen3-embedding-0.6b? No. gemini-1.5-flash costs $0.07 per 1M input tokens while qwen3-embedding-0.6b costs $0.07 per 1M input tokens, making qwen3-embedding-0.6b 7% more affordable for input. However, gemini-1.5-flash may offer different capabilities or performance characteristics that justify the price difference. ### How does gemini-1.5-flash pricing compare to the average embedding model? gemini-1.5-flash input pricing is $0.07 per 1M tokens, which is 25% below the median of $0.10 for embedding models. It ranks 58 out of 150 embedding models by input cost, making it cheaper than 61% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02. ### What makes gemini-1.5-flash different from other Google Gemini models? Among Google Gemini's 4 embedding models, gemini-1.5-flash ranks 1 by input cost. ### What are the best alternatives to gemini-1.5-flash? The most comparable embedding models to gemini-1.5-flash are: qwen3-embedding-0.6b from Novita ($0.07/1M input tokens); qwen3-embedding-8b from Novita ($0.07/1M input tokens); snowflake-arctic-embed-l-v2.0 from Snowflake ($0.07/1M input tokens); snowflake-arctic-embed-m-v2.0 from Snowflake ($0.07/1M 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. ### How do I calculate gemini-1.5-flash costs? gemini-1.5-flash 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 $0.07 and generating 1M output tokens costs $0.0000. ## Related Resources - [All Google Gemini pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/gemini.md) - [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md) - [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library.md) - [Docs: Bifrost docs](https://docs.getbifrost.ai) - [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost) - [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing) - [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise) - [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo) - [Resources: Bifrost resources](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md) --- *This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/gemini/model/gemini-1.5-flash](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/gemini/model/gemini-1.5-flash) for AI/LLM consumption.*