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qwen3.8-max-0902 Cost Calculator - OpenRouter

Calculate the cost of using qwen3.8-max-0902 from OpenRouter for your AI applications

Pricing data last updated:

qwen3.8-max-0902 Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Max: 131,072 tokens

Cost Breakdown

Input Cost$0.002000
Output Cost$0.006000
Total Cost$0.008000

Pricing Details

Input: $0.00000200 per token
Output: $0.00000600 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens1,000,000
Max Output Tokens131,072
Max Tokens131,072

About qwen3.8-max-0902

qwen3.8-max-0902 is a chat model from OpenRouter, one of 463 chat models they offer. It is priced at $2.00 per 1M input tokens and $6.00 per 1M output tokens, ranking 2878 out of 3639 chat models by cost and cheaper than 20% of models in this category. qwen3.8-max-0902 supports vision, function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 23% among chat models.

Pricing Information

Input Cost$2.00 per 1M tokens
Output Cost$6.00 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,000,000
Maximum Output Tokens131,072
Maximum Total Tokens131,072

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,000,000 input tokens. The maximum output length is 131,072 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 qwen3.8-max-0902 Pricing Compares

At $2.00 per 1M input tokens and $6.00 per 1M output tokens, qwen3.8-max-0902 ranks 2878 out of 3639 chat models by input cost. It is more expensive compared to the median of $0.58 for chat models, and is cheaper than 20% of models in this category.

qwen3.8-max-0902 is one of 463 OpenRouter chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 23% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs qwen3.8-max-0902
amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50+9%
apac.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50+9%
eu.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50+9%

Alternatives to qwen3.8-max-0902

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+9% vs qwen3.8-max-0902
AWS Bedrock
apac.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+9% vs qwen3.8-max-0902
AWS Bedrock
eu.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+9% vs qwen3.8-max-0902
AWS Bedrock
us.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+9% vs qwen3.8-max-0902
AWS Bedrock
anthropic.claude-sonnet-5
$2.00/1M input
0% vs qwen3.8-max-0902

Frequently Asked Questions

Is qwen3.8-max-0902 cheaper than amazon.nova-2-pro-preview-20251202-v1:0?

Yes. qwen3.8-max-0902 costs $2.00 per 1M input tokens compared to amazon.nova-2-pro-preview-20251202-v1:0's $2.19 per 1M input tokens, making it 9% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

How does qwen3.8-max-0902 pricing compare to the average chat model?

qwen3.8-max-0902 input pricing is $2.00 per 1M tokens, which is 245% above the median of $0.58 for chat models. It ranks 2878 out of 3639 chat models by input cost, making it cheaper than 20% of models in this category. For output, it costs $6.00 per 1M tokens compared to the median of $1.66.

What makes qwen3.8-max-0902 different from other OpenRouter models?

Among OpenRouter's 463 chat models, qwen3.8-max-0902 ranks 353 by input cost.

What are the best alternatives to qwen3.8-max-0902?

The most comparable chat models to qwen3.8-max-0902 are: amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); eu.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); us.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M 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 qwen3.8-max-0902's context window?

qwen3.8-max-0902 supports up to 1,000,000 input tokens, placing it in the top 23% of chat models by context window size (rank 682 of 3346). 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 qwen3.8-max-0902 costs?

qwen3.8-max-0902 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 $2.00 and generating 1M output tokens costs $6.00.