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hy4-preview Cost Calculator - OpenRouter

Calculate the cost of using hy4-preview from OpenRouter for your AI applications

Pricing data last updated:

hy4-preview Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 64,000 tokens

Cost Breakdown

Input Cost$0.00083400
Output Cost$0.002501
Total Cost$0.003335

Pricing Details

Input: $0.0000008340 per token
Output: $0.00000250 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens1,048,576
Max Output Tokens64,000
Max Tokens64,000

About hy4-preview

hy4-preview is a chat model from OpenRouter, one of 441 chat models they offer. It is priced at $0.83 per 1M input tokens and $2.50 per 1M output tokens, ranking 1958 out of 3254 chat models by cost and cheaper than 40% of models in this category. hy4-preview supports function calling, reasoning, prompt caching, structured output. Its 1,049K-token context window is in the top 10% among chat models.

Pricing Information

Input Cost$0.83 per 1M tokens
Output Cost$2.50 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 Tokens64,000
Maximum Total Tokens64,000

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 64,000 tokens.

Model Capabilities

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

How hy4-preview Pricing Compares

At $0.83 per 1M input tokens and $2.50 per 1M output tokens, hy4-preview ranks 1958 out of 3254 chat models by input cost. It is more expensive compared to the median of $0.52 for chat models, and is cheaper than 40% of models in this category.

hy4-preview is one of 441 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 1,049K-token context window places it in the top 10% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs hy4-preview
anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.00$5.00+20%
anthropic.claude-haiku-4-5@20251001AWS Bedrock$1.00$5.00+20%
claude-haiku-4-5Azure$1.00$5.00+20%

Alternatives to hy4-preview

Similar chat models from other providers

AWS Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0
$1.00/1M input
+20% vs hy4-preview
AWS Bedrock
anthropic.claude-haiku-4-5@20251001
$1.00/1M input
+20% vs hy4-preview
Azure
claude-haiku-4-5
$1.00/1M input
+20% vs hy4-preview
Azure
gpt-5.4-mini
$0.75/1M input
-10% vs hy4-preview

Frequently Asked Questions

Is hy4-preview cheaper than anthropic.claude-haiku-4-5-20251001-v1:0?

Yes. hy4-preview costs $0.83 per 1M input tokens compared to anthropic.claude-haiku-4-5-20251001-v1:0's $1.00 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.

How does hy4-preview pricing compare to the average chat model?

hy4-preview input pricing is $0.83 per 1M tokens, which is 62% above the median of $0.52 for chat models. It ranks 1958 out of 3254 chat models by input cost, making it cheaper than 40% of models in this category. For output, it costs $2.50 per 1M tokens compared to the median of $1.50.

What makes hy4-preview different from other OpenRouter models?

Among OpenRouter's 441 chat models, hy4-preview ranks 260 by input cost.

What are the best alternatives to hy4-preview?

The most comparable chat models to hy4-preview are: anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.00/1M input tokens); anthropic.claude-haiku-4-5@20251001 from AWS Bedrock ($1.00/1M input tokens); claude-haiku-4-5 from Azure ($1.00/1M input tokens); gpt-5.4-mini from Azure ($0.75/1M 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 hy4-preview's context window?

hy4-preview supports up to 1,048,576 input tokens, placing it in the top 10% of chat models by context window size (rank 219 of 3025). 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 hy4-preview costs?

hy4-preview 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 $0.83 and generating 1M output tokens costs $2.50.