Calculate the cost of using qwen3.8-max from Opencode-zen for your AI applications
Pricing data last updated:
Mode: Chat
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qwen3.8-max is a chat model from Opencode-zen, one of 47 chat models they offer. It is priced at $2.00 per 1M input tokens and $6.00 per 1M output tokens, ranking 2264 out of 2835 chat models by cost and cheaper than 20% of models in this category.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
At $2.00 per 1M input tokens and $6.00 per 1M output tokens, qwen3.8-max ranks 2264 out of 2835 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 20% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.8-max |
|---|---|---|---|---|
| ai21.jamba-1-5-large-v1:0 | AWS Bedrock | $2.00 | $8.00 | 0% |
| 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% |
Similar chat models from other providers
No. qwen3.8-max costs $2.00 per 1M input tokens while ai21.jamba-1-5-large-v1:0 costs $2.00 per 1M input tokens, making ai21.jamba-1-5-large-v1:0 0% more affordable for input. However, qwen3.8-max may offer different capabilities or performance characteristics that justify the price difference.
qwen3.8-max input pricing is $2.00 per 1M tokens, which is 264% above the median of $0.55 for chat models. It ranks 2264 out of 2835 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 $1.50.
Among Opencode-zen's 47 chat models, qwen3.8-max ranks 29 by input cost.
The most comparable chat models to qwen3.8-max are: ai21.jamba-1-5-large-v1:0 from AWS Bedrock ($2.00/1M input tokens); 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). 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 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.