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gemini-2.5-flash-lite:batch Cost Calculator - OpenRouter

Calculate the cost of using gemini-2.5-flash-lite:batch from OpenRouter for your AI applications

Pricing data last updated:

gemini-2.5-flash-lite:batch Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 65,535 tokens

Cost Breakdown

Input Cost$0.00005000
Output Cost$0.00020000
Total Cost$0.00025000

Pricing Details

Input: $0.0000000500 per token
Output: $0.0000002000 per token
Output Image: $0.0000000500 per image
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning
✓Web Search
✓Audio Input

Limits

Max Input Tokens1,048,576
Max Output Tokens65,535
Max Tokens65,535

About gemini-2.5-flash-lite:batch

gemini-2.5-flash-lite:batch is a chat model from OpenRouter, one of 528 chat models they offer. It is priced at $0.05 per 1M input tokens and $0.20 per 1M output tokens, ranking 185 out of 3697 chat models by cost and cheaper than 95% of models in this category. gemini-2.5-flash-lite:batch supports vision, function calling, reasoning, audio input, web search, prompt caching, structured output. Its 1,049K-token context window is in the top 12% among chat models.

Pricing Information

Input Cost$0.05 per 1M tokens
Output Cost$0.20 per 1M tokens
Image Output Cost$0.0000 per image

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens65,535
Maximum Total Tokens65,535

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,048,576 input tokens. The maximum output length is 65,535 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Audio Input - Accept audio data as input
✓Advanced Reasoning - Complex problem-solving capabilities
✓Web Search - Access real-time web information
✓Prompt Caching - Optimize repeated prompts
✓Response Schema - Structured output formatting

How gemini-2.5-flash-lite:batch Pricing Compares

At $0.05 per 1M input tokens and $0.20 per 1M output tokens, gemini-2.5-flash-lite:batch ranks 185 out of 3697 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 95% of models in this category.

gemini-2.5-flash-lite:batch is one of 528 OpenRouter chat models, with support for vision, function calling, reasoning, audio input, web search, prompt caching, structured output. its 1,049K-token context window places it in the top 12% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gemini-2.5-flash-lite:batch
gpt-5-nanoOpenAI$0.05$0.400%
gpt-5-nano-2025-08-07OpenAI$0.05$0.400%
gemini-2.5-flash-liteGoogle Gemini$0.10$0.40+100%

Alternatives to gemini-2.5-flash-lite:batch

Similar chat models from other providers

OpenAI
gpt-5-nano
$0.05/1M input
0% vs gemini-2.5-flash-lite:batch
OpenAI
gpt-5-nano-2025-08-07
$0.05/1M input
0% vs gemini-2.5-flash-lite:batch
Google Gemini
gemini-2.5-flash-lite
$0.10/1M input
+100% vs gemini-2.5-flash-lite:batch
Azure
gpt-5-nano-2025-08-07
$0.06/1M input
+10% vs gemini-2.5-flash-lite:batch
Azure
gpt-5-nano
$0.05/1M input
0% vs gemini-2.5-flash-lite:batch

Frequently Asked Questions

Is gemini-2.5-flash-lite:batch cheaper than gpt-5-nano?

No. gemini-2.5-flash-lite:batch costs $0.05 per 1M input tokens while gpt-5-nano costs $0.05 per 1M input tokens, making gpt-5-nano 0% more affordable for input. However, gemini-2.5-flash-lite:batch may offer different capabilities or performance characteristics that justify the price difference.

How does gemini-2.5-flash-lite:batch pricing compare to the average chat model?

gemini-2.5-flash-lite:batch input pricing is $0.05 per 1M tokens, which is 92% below the median of $0.60 for chat models. It ranks 185 out of 3697 chat models by input cost, making it cheaper than 95% of models in this category. For output, it costs $0.20 per 1M tokens compared to the median of $1.75.

What makes gemini-2.5-flash-lite:batch different from other OpenRouter models?

Among OpenRouter's 528 chat models, gemini-2.5-flash-lite:batch ranks 43 by input cost.

What are the best alternatives to gemini-2.5-flash-lite:batch?

The most comparable chat models to gemini-2.5-flash-lite:batch are: gpt-5-nano from OpenAI ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from OpenAI ($0.05/1M input tokens); gemini-2.5-flash-lite from Google Gemini ($0.10/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.06/1M 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 large is gemini-2.5-flash-lite:batch's context window?

gemini-2.5-flash-lite:batch supports up to 1,048,576 input tokens, placing it in the top 12% of chat models by context window size (rank 317 of 3428). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I check if OpenRouter is down?

You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.

How do I calculate gemini-2.5-flash-lite:batch costs?

gemini-2.5-flash-lite:batch 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 $0.05 and generating 1M output tokens costs $0.20.