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gpt-5-mini:batch Cost Calculator - OpenRouter

Calculate the cost of using gpt-5-mini:batch from OpenRouter for your AI applications

Pricing data last updated:

gpt-5-mini:batch Cost Calculator

Mode: Chat

Max: 400,000 tokens

Max: 128,000 tokens

Cost Breakdown

Input Cost$0.00012500
Output Cost$0.001000
Total Cost$0.001125

Pricing Details

Input: $0.0000001250 per token
Output: $0.00000100 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens400,000
Max Output Tokens128,000
Max Tokens128,000

About gpt-5-mini:batch

gpt-5-mini:batch is a chat model from OpenRouter, one of 439 chat models they offer. It is priced at $0.13 per 1M input tokens and $1.00 per 1M output tokens, ranking 475 out of 2912 chat models by cost and cheaper than 84% of models in this category. gpt-5-mini:batch supports vision, function calling, reasoning, prompt caching, structured output. Its 400K-token context window is in the top 22% among chat models.

Pricing Information

Input Cost$0.13 per 1M tokens
Output Cost$1.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens400,000
Maximum Output Tokens128,000
Maximum Total Tokens128,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 400,000 input tokens. The maximum output length is 128,000 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
Prompt Caching - Optimize repeated prompts
Response Schema - Structured output formatting

How gpt-5-mini:batch Pricing Compares

At $0.13 per 1M input tokens and $1.00 per 1M output tokens, gpt-5-mini:batch ranks 475 out of 2912 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 84% of models in this category.

gpt-5-mini:batch is one of 439 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 400K-token context window places it in the top 22% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gpt-5-mini:batch
gemini-2.5-flash-liteVertex AI$0.10$0.40-20%
gemini-2.5-flash-lite-preview-09-2025Vertex AI$0.10$0.40-20%
gemini-2.5-flash-lite-preview-06-17Vertex AI$0.10$0.40-20%

Alternatives to gpt-5-mini:batch

Similar chat models from other providers

Vertex AI
gemini-2.5-flash-lite
$0.10/1M input
-20% vs gpt-5-mini:batch
Google Gemini
gemini-2.5-flash-lite
$0.10/1M input
-20% vs gpt-5-mini:batch
Google Gemini
gemini-2.5-flash-lite-preview-09-2025
$0.10/1M input
-20% vs gpt-5-mini:batch

Frequently Asked Questions

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

No. gpt-5-mini:batch costs $0.13 per 1M input tokens while gemini-2.5-flash-lite costs $0.10 per 1M input tokens, making gemini-2.5-flash-lite 20% more affordable for input. However, gpt-5-mini:batch may offer different capabilities or performance characteristics that justify the price difference.

How does gpt-5-mini:batch pricing compare to the average chat model?

gpt-5-mini:batch input pricing is $0.13 per 1M tokens, which is 77% below the median of $0.55 for chat models. It ranks 475 out of 2912 chat models by input cost, making it cheaper than 84% of models in this category. For output, it costs $1.00 per 1M tokens compared to the median of $1.50.

What makes gpt-5-mini:batch different from other OpenRouter models?

Among OpenRouter's 439 chat models, gpt-5-mini:batch ranks 83 by input cost.

What are the best alternatives to gpt-5-mini:batch?

The most comparable chat models to gpt-5-mini:batch are: gemini-2.5-flash-lite from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-09-2025 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite-preview-06-17 from Vertex AI ($0.10/1M input tokens); gemini-2.5-flash-lite from Google Gemini ($0.10/1M 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 gpt-5-mini:batch's context window?

gpt-5-mini:batch supports up to 400,000 input tokens, placing it in the top 22% of chat models by context window size (rank 590 of 2714). 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 gpt-5-mini:batch costs?

gpt-5-mini: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 $0.13 and generating 1M output tokens costs $1.00.