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qwen3.6-max-preview Cost Calculator - OpenRouter

Calculate the cost of using qwen3.6-max-preview from OpenRouter for your AI applications

Pricing data last updated:

qwen3.6-max-preview Cost Calculator

Mode: Chat

Max: 262,144 tokens

Max: 65,536 tokens

Cost Breakdown

Input Cost$0.001040
Output Cost$0.006240
Total Cost$0.007280

Pricing Details

Input: $0.00000104 per token
Output: $0.00000624 per token
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Model Specifications

Capabilities

Function Calling
Reasoning

Limits

Max Input Tokens262,144
Max Output Tokens65,536
Max Tokens65,536

About qwen3.6-max-preview

qwen3.6-max-preview is a chat model from OpenRouter, one of 355 chat models they offer. It is priced at $1.04 per 1M input tokens and $6.24 per 1M output tokens, ranking 1809 out of 2661 chat models by cost and cheaper than 32% of models in this category. qwen3.6-max-preview supports function calling, reasoning, prompt caching, structured output. Its 262K-token context window is in the top 29% among chat models.

Pricing Information

Input Cost$1.04 per 1M tokens
Output Cost$6.24 per 1M tokens

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

Technical Specifications

Maximum Input Tokens262,144
Maximum Output Tokens65,536
Maximum Total Tokens65,536

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 262,144 input tokens. The maximum output length is 65,536 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 qwen3.6-max-preview Pricing Compares

At $1.04 per 1M input tokens and $6.24 per 1M output tokens, qwen3.6-max-preview ranks 1809 out of 2661 chat models by input cost. It is more expensive compared to the median of $0.50 for chat models, and is cheaper than 32% of models in this category.

qwen3.6-max-preview is one of 355 OpenRouter chat models, with support for function calling, reasoning, prompt caching, structured output. its 262K-token context window places it in the top 29% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3.6-max-preview
anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.00$5.00-4%
anthropic.claude-haiku-4-5@20251001AWS Bedrock$1.00$5.00-4%
apac.anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.10$5.50+6%

Alternatives to qwen3.6-max-preview

Similar chat models from other providers

AWS Bedrock
anthropic.claude-haiku-4-5-20251001-v1:0
$1.00/1M input
-4% vs qwen3.6-max-preview
AWS Bedrock
anthropic.claude-haiku-4-5@20251001
$1.00/1M input
-4% vs qwen3.6-max-preview
AWS Bedrock
apac.anthropic.claude-haiku-4-5-20251001-v1:0
$1.10/1M input
+6% vs qwen3.6-max-preview
Azure
claude-haiku-4-5
$1.00/1M input
-4% vs qwen3.6-max-preview
Azure
gpt-5.1
$1.25/1M input
+20% vs qwen3.6-max-preview

Frequently Asked Questions

Is qwen3.6-max-preview cheaper than anthropic.claude-haiku-4-5-20251001-v1:0?

No. qwen3.6-max-preview costs $1.04 per 1M input tokens while anthropic.claude-haiku-4-5-20251001-v1:0 costs $1.00 per 1M input tokens, making anthropic.claude-haiku-4-5-20251001-v1:0 4% more affordable for input. However, qwen3.6-max-preview may offer different capabilities or performance characteristics that justify the price difference.

How does qwen3.6-max-preview pricing compare to the average chat model?

qwen3.6-max-preview input pricing is $1.04 per 1M tokens, which is 108% above the median of $0.50 for chat models. It ranks 1809 out of 2661 chat models by input cost, making it cheaper than 32% of models in this category. For output, it costs $6.24 per 1M tokens compared to the median of $1.44.

What makes qwen3.6-max-preview different from other OpenRouter models?

Among OpenRouter's 355 chat models, qwen3.6-max-preview ranks 228 by input cost.

What are the best alternatives to qwen3.6-max-preview?

The most comparable chat models to qwen3.6-max-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); apac.anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.10/1M input tokens); claude-haiku-4-5 from Azure ($1.00/1M 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 qwen3.6-max-preview's context window?

qwen3.6-max-preview supports up to 262,144 input tokens, placing it in the top 29% of chat models by context window size (rank 638 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 qwen3.6-max-preview costs?

qwen3.6-max-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 $1.04 and generating 1M output tokens costs $6.24.