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o4-mini:batch Cost Calculator - OpenRouter

Calculate the cost of using o4-mini:batch from OpenRouter for your AI applications

Pricing data last updated:

o4-mini:batch Cost Calculator

Mode: Chat

Max: 200,000 tokens

Max: 100,000 tokens

Cost Breakdown

Input Cost$0.00055000
Output Cost$0.002200
Total Cost$0.002750

Pricing Details

Input: $0.0000005500 per token
Output: $0.00000220 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens200,000
Max Output Tokens100,000
Max Tokens100,000

About o4-mini:batch

o4-mini:batch is a chat model from OpenRouter, one of 439 chat models they offer. It is priced at $0.55 per 1M input tokens and $2.20 per 1M output tokens, ranking 1457 out of 2915 chat models by cost and cheaper than 50% of models in this category. o4-mini:batch supports vision, function calling, reasoning, prompt caching, structured output. Its 200K-token context window is in the top 47% among chat models.

Pricing Information

Input Cost$0.55 per 1M tokens
Output Cost$2.20 per 1M tokens

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

Technical Specifications

Maximum Input Tokens200,000
Maximum Output Tokens100,000
Maximum Total Tokens100,000

Pro Tip

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 100,000 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 o4-mini:batch Pricing Compares

At $0.55 per 1M input tokens and $2.20 per 1M output tokens, o4-mini:batch ranks 1457 out of 2915 chat models by input cost. It is competitively priced compared to the median of $0.55 for chat models, and is cheaper than 50% of models in this category.

o4-mini:batch is one of 439 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 200K-token context window places it in the top 47% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs o4-mini:batch
gemini-3-flash-previewVertex AI$0.50$3.00-9%
gemini-3-flash-previewGoogle Gemini$0.50$3.00-9%
kimi-k2.5Moonshot$0.60$3.00+9%

Alternatives to o4-mini:batch

Similar chat models from other providers

Vertex AI
gemini-3-flash-preview
$0.50/1M input
-9% vs o4-mini:batch
Google Gemini
gemini-3-flash-preview
$0.50/1M input
-9% vs o4-mini:batch
Moonshot
kimi-k2.5
$0.60/1M input
+9% vs o4-mini:batch
DeepSeek
deepseek-v4-flash-vision-exp
$0.44/1M input
-20% vs o4-mini:batch
Azure
gpt-4.1-mini-2025-04-14
$0.44/1M input
-20% vs o4-mini:batch

Frequently Asked Questions

Is o4-mini:batch cheaper than gemini-3-flash-preview?

No. o4-mini:batch costs $0.55 per 1M input tokens while gemini-3-flash-preview costs $0.50 per 1M input tokens, making gemini-3-flash-preview 9% more affordable for input. However, o4-mini:batch may offer different capabilities or performance characteristics that justify the price difference.

How does o4-mini:batch pricing compare to the average chat model?

o4-mini:batch input pricing is $0.55 per 1M tokens, which is 0% at the median of $0.55 for chat models. It ranks 1457 out of 2915 chat models by input cost, making it cheaper than 50% of models in this category. For output, it costs $2.20 per 1M tokens compared to the median of $1.50.

What makes o4-mini:batch different from other OpenRouter models?

Among OpenRouter's 439 chat models, o4-mini:batch ranks 215 by input cost.

What are the best alternatives to o4-mini:batch?

The most comparable chat models to o4-mini:batch are: gemini-3-flash-preview from Vertex AI ($0.50/1M input tokens); gemini-3-flash-preview from Google Gemini ($0.50/1M input tokens); kimi-k2.5 from Moonshot ($0.60/1M input tokens); deepseek-v4-flash-vision-exp from DeepSeek ($0.44/1M 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 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 o4-mini:batch costs?

o4-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 $0.55 and generating 1M output tokens costs $2.20.