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llama-4-maverick Cost Calculator - OpenRouter

Calculate the cost of using llama-4-maverick from OpenRouter for your AI applications

Pricing data last updated:

llama-4-maverick Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 16,384 tokens

Cost Breakdown

Input Cost$0.00020000
Output Cost$0.00080000
Total Cost$0.001000

Pricing Details

Input: $0.0000002000 per token
Output: $0.0000008000 per token
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Model Specifications

Capabilities

Function Calling
Vision

Limits

Max Input Tokens1,048,576
Max Output Tokens16,384
Max Tokens16,384

About llama-4-maverick

llama-4-maverick is a chat model from OpenRouter, one of 355 chat models they offer. It is priced at $0.20 per 1M input tokens and $0.80 per 1M output tokens, ranking 790 out of 2661 chat models by cost and cheaper than 70% of models in this category. llama-4-maverick supports vision, function calling, structured output. Its 1,049K-token context window is in the top 7% among chat models.

Pricing Information

Input Cost$0.20 per 1M tokens
Output Cost$0.80 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens16,384
Maximum Total Tokens16,384

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 16,384 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Response Schema - Structured output formatting

How llama-4-maverick Pricing Compares

At $0.20 per 1M input tokens and $0.80 per 1M output tokens, llama-4-maverick ranks 790 out of 2661 chat models by input cost. It is more affordable compared to the median of $0.50 for chat models, and is cheaper than 70% of models in this category.

llama-4-maverick is one of 355 OpenRouter chat models, with support for vision, function calling, structured output. its 1,049K-token context window places it in the top 7% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs llama-4-maverick
anthropic.claude-3-haiku-20240307-v1:0AWS Bedrock$0.25$1.25+25%
apac.anthropic.claude-3-haiku-20240307-v1:0AWS Bedrock$0.25$1.25+25%
gpt-5.4-nanoAzure$0.20$1.250%

Alternatives to llama-4-maverick

Similar chat models from other providers

AWS Bedrock
anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
+25% vs llama-4-maverick
AWS Bedrock
apac.anthropic.claude-3-haiku-20240307-v1:0
$0.25/1M input
+25% vs llama-4-maverick
Azure
gpt-5.4-nano
$0.20/1M input
0% vs llama-4-maverick
Azure
gpt-5.4-nano-2026-03-17
$0.20/1M input
0% vs llama-4-maverick
Azure
gpt-4o-mini-2024-07-18
$0.17/1M input
-17% vs llama-4-maverick

Frequently Asked Questions

Is llama-4-maverick cheaper than anthropic.claude-3-haiku-20240307-v1:0?

Yes. llama-4-maverick costs $0.20 per 1M input tokens compared to anthropic.claude-3-haiku-20240307-v1:0's $0.25 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, structured output.

How does llama-4-maverick pricing compare to the average chat model?

llama-4-maverick input pricing is $0.20 per 1M tokens, which is 60% below the median of $0.50 for chat models. It ranks 790 out of 2661 chat models by input cost, making it cheaper than 70% of models in this category. For output, it costs $0.80 per 1M tokens compared to the median of $1.44.

What makes llama-4-maverick different from other OpenRouter models?

Among OpenRouter's 355 chat models, llama-4-maverick ranks 99 by input cost.

What are the best alternatives to llama-4-maverick?

The most comparable chat models to llama-4-maverick are: anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); apac.anthropic.claude-3-haiku-20240307-v1:0 from AWS Bedrock ($0.25/1M input tokens); gpt-5.4-nano from Azure ($0.20/1M input tokens); gpt-5.4-nano-2026-03-17 from Azure ($0.20/1M 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 llama-4-maverick's context window?

llama-4-maverick supports up to 1,048,576 input tokens, placing it in the top 7% of chat models by context window size (rank 168 of 2482). 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 llama-4-maverick costs?

llama-4-maverick 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 $0.20 and generating 1M output tokens costs $0.80.