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Qwen 3.8 Max API Pricing & Cost Calculator

Qwen 3.8 Max at $2.00/$6.00 with 90% caching is Alibaba's answer to the GPT-5.6 tier - cheaper than OpenAI on output ($6 vs $30) at the cost of a mid-tier ceiling on the hardest reasoning. The cache-not-batch restriction shapes the real bill.

Qwen 3.8 Max is Alibaba's 2026 flagship reasoning model, moving from Qwen 3.7 Max's $1.475/$4.425 to a flatter $2/$6 rate card with a deeper 90% cache discount and a published 50% batch tier.

By TechCompare · Updated

Input tokens
100,000
per request
Output tokens
5,000
per request
Volume
100 / monthly
Standard API

Calculator

Cost Comparison

Based on 100,000 input tokens (50% cached), 5,000 output tokens, and 100 requests.

Open full calculator to adjust tokens, caching, or add other models

How this is calculated

Qwen 3.8 Max is priced at $2.00 per million input tokens and $6.00 per million output tokens on Alibaba Cloud Model Studio, with a 90% prompt caching discount ($0.20 per million cached reads) and a 50% batch discount ($1.00/$3.00). One restriction to note: Alibaba's docs say cache discounts and batch discounts cannot apply simultaneously, so you optimize for one lever per workload. The context window is 1M tokens.

Verdict

At $2/M input and $6/M output a 100K + 5K call runs $0.23, about a third of GPT-5.6 Sol's $0.65. The 90% cache discount drops cached input to $0.20/M, which is where agentic loops with stable system prompts land. The batch 50% discount is real but mutually exclusive with caching on Alibaba's rules, so a cache-heavy loop stays on standard pricing while overnight bulk jobs take the batch row. Against GLM-5.3 ($1.40/$4.40) Qwen costs about 40% more per side, and the pick comes down to Qwen's stronger multilingual training versus GLM's lower base rate.

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Frequently asked questions

Can Qwen 3.8 Max use cache discounts and batch discounts together?
No. Alibaba's Model Studio billing docs state that context cache discounts and batch discounts cannot apply simultaneously. A cache-heavy agent loop takes the 90% cache rate, and an overnight bulk job takes the 50% batch rate, but never both on the same call.
How much does Qwen 3.8 Max cost per million output tokens?
$6.00 per million at standard pricing, $3.00 per million on the 50% batch tier. Cached input lands at $0.20 per million under the 90% discount, which is the lever for agent loops that reuse a stable system prompt.
How does Qwen 3.8 Max compare to GLM-5.3?
Qwen 3.8 Max is $2.00/$6.00 versus GLM-5.3's $1.40/$4.40, roughly 40% more per side. Qwen has the deeper cache discount (90% vs 81%) and a published 50% batch tier GLM lacks. Pick GLM-5.3 on raw rate, Qwen for multilingual depth and Alibaba Cloud integration.

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