Calculate the cost of using qwen3.8-max from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 131,072 tokens
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qwen3.8-max is a chat model from OpenRouter, one of 358 chat models they offer. It is priced at $2.00 per 1M input tokens and $6.00 per 1M output tokens, ranking 2131 out of 2688 chat models by cost and cheaper than 20% of models in this category. qwen3.8-max supports vision, function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 16% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
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.
At $2.00 per 1M input tokens and $6.00 per 1M output tokens, qwen3.8-max ranks 2131 out of 2688 chat models by input cost. It is more expensive compared to the median of $0.50 for chat models, and is cheaper than 20% of models in this category.
qwen3.8-max is one of 358 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 16% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.8-max |
|---|---|---|---|---|
| amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | +9% |
| apac.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | +9% |
| eu.amazon.nova-2-pro-preview-20251202-v1:0 | AWS Bedrock | $2.19 | $17.50 | +9% |
Similar chat models from other providers
Yes. qwen3.8-max 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.
qwen3.8-max input pricing is $2.00 per 1M tokens, which is 300% above the median of $0.50 for chat models. It ranks 2131 out of 2688 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 $1.44.
Among OpenRouter's 358 chat models, qwen3.8-max ranks 271 by input cost.
The most comparable chat models to qwen3.8-max 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.
qwen3.8-max supports up to 1,000,000 input tokens, placing it in the top 16% of chat models by context window size (rank 360 of 2502). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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.
qwen3.8-max 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.