Calculate the cost of using qwen3.8-max-prime 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-prime is a chat model from OpenRouter, one of 502 chat models they offer. It is priced at $4.00 per 1M input tokens and $12.00 per 1M output tokens, ranking 3389 out of 3778 chat models by cost and cheaper than 10% of models in this category. qwen3.8-max-prime supports vision, function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 27% 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 $4.00 per 1M input tokens and $12.00 per 1M output tokens, qwen3.8-max-prime ranks 3389 out of 3778 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 10% of models in this category.
qwen3.8-max-prime is one of 502 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 27% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.8-max-prime |
|---|---|---|---|---|
| anthropic.claude-opus-5-5 | AWS Bedrock | $4.00 | $20.00 | 0% |
| global.anthropic.claude-opus-5-5 | AWS Bedrock | $4.00 | $20.00 | 0% |
| us.anthropic.claude-opus-5-5 | Bedrock Mantle | $4.40 | $22.00 | +10% |
Similar chat models from other providers
No. qwen3.8-max-prime costs $4.00 per 1M input tokens while anthropic.claude-opus-5-5 costs $4.00 per 1M input tokens, making anthropic.claude-opus-5-5 0% more affordable for input. However, qwen3.8-max-prime may offer different capabilities or performance characteristics that justify the price difference.
qwen3.8-max-prime input pricing is $4.00 per 1M tokens, which is 567% above the median of $0.60 for chat models. It ranks 3389 out of 3778 chat models by input cost, making it cheaper than 10% of models in this category. For output, it costs $12.00 per 1M tokens compared to the median of $1.75.
Among OpenRouter's 502 chat models, qwen3.8-max-prime ranks 411 by input cost.
The most comparable chat models to qwen3.8-max-prime are: anthropic.claude-opus-5-5 from AWS Bedrock ($4.00/1M input tokens); global.anthropic.claude-opus-5-5 from AWS Bedrock ($4.00/1M input tokens); us.anthropic.claude-opus-5-5 from Bedrock Mantle ($4.40/1M input tokens); eu.anthropic.claude-opus-5-5 from AWS Bedrock ($4.40/1M 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-prime supports up to 1,000,000 input tokens, placing it in the top 27% of chat models by context window size (rank 845 of 3499). 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-prime 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 $4.00 and generating 1M output tokens costs $12.00.