Calculate the cost of using qwen3.8-max from Aihubmix 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 Aihubmix, one of 72 chat models they offer. It is priced at $1.69 per 1M input tokens and $5.07 per 1M output tokens, ranking 2702 out of 3639 chat models by cost and cheaper than 26% of models in this category. qwen3.8-max supports vision, function calling, reasoning, web search, prompt caching, structured output. Its 1,000K-token context window is in the top 23% 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 $1.69 per 1M input tokens and $5.07 per 1M output tokens, qwen3.8-max ranks 2702 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 26% of models in this category.
qwen3.8-max is one of 72 Aihubmix chat models, with support for vision, function calling, reasoning, web search, prompt caching, structured output. its 1,000K-token context window places it in the top 23% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3.8-max |
|---|---|---|---|---|
| gpt-5.6-terra | Azure | $2.00 | $12.00 | +18% |
| gpt-5.6-terra-2026-07-09 | Azure | $2.00 | $12.00 | +18% |
| grok-4.6 | Azure | $2.00 | $6.00 | +18% |
Similar chat models from other providers
Yes. qwen3.8-max costs $1.69 per 1M input tokens compared to gpt-5.6-terra's $2.00 per 1M input tokens, making it 18% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
qwen3.8-max input pricing is $1.69 per 1M tokens, which is 191% above the median of $0.58 for chat models. It ranks 2702 out of 3639 chat models by input cost, making it cheaper than 26% of models in this category. For output, it costs $5.07 per 1M tokens compared to the median of $1.66.
Among Aihubmix's 72 chat models, qwen3.8-max ranks 49 by input cost.
The most comparable chat models to qwen3.8-max are: gpt-5.6-terra from Azure ($2.00/1M input tokens); gpt-5.6-terra-2026-07-09 from Azure ($2.00/1M input tokens); grok-4.6 from Azure ($2.00/1M input tokens); grok-4-20-reasoning from Azure ($2.00/1M 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.
qwen3.8-max supports up to 1,000,000 input tokens, placing it in the top 23% of chat models by context window size (rank 707 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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 $1.69 and generating 1M output tokens costs $5.07.