Qwen3.8 Max API pricing
Qwen3.8 Max from Alibaba costs $2.00 per 1M input tokens and $6.00 per 1M output tokens. Cached input drops to $0.25 per 1M. Batch processing takes 50% off both rates.
That puts it 41th cheapest of the 60 models tracked here on a blended 3:1 input-to-output rate, or $3.00 per 1M blended tokens. Verified 2026-08-16.
- Input
- $2.00per 1M tokens
- Output
- $6.00per 1M tokens
- Cached input
- $0.25 88% off input
- Batch discount
- 50% off input + output
- Price rank
- #41of 60, cheapest first
- Tokens per $1
- 333,333at a 3:1 mix
What Qwen3.8 Max costs on a real workload
Per-million-token rates are hard to reason about, so here is the same model priced against four concrete monthly workloads. Each row uses this model's own input and output rates against a fixed token mix, with no caching or batch discount applied.
| Workload | Assumption | Monthly cost | Annual |
|---|---|---|---|
| Support chatbot | 50,000 conversations/month at 3K input and 500 output tokens each | $450.00 | $5,400 |
| RAG document search | 200,000 queries/month at 6K retrieved-context input and 400 output tokens | $2,880 | $34,560 |
| Coding agent | 5,000 runs/month at 60K input and 8K output tokens per run | $840.00 | $10,080 |
| Bulk classification | 5,000,000 items/month at 400 input and 20 output tokens each | $4,600 | $55,200 |
Your mix will differ. The API cost calculator takes your own token counts, and the cost per request calculator scales a single call up to per-1,000 and per-month totals.
Cheaper alternatives to Qwen3.8 Max
These are the closest cheaper options from other providers, ordered by how near they sit to Qwen3.8 Max on the blended rate. Closer is usually a more realistic swap: the further down this list you go, the more capability you are likely trading away.
| Model | Provider | Input / 1M | Output / 1M | Cheaper by |
|---|---|---|---|---|
| Magistral Medium | Mistral | $2.00 | $5.00 | 1.1x |
| GLM-5.2 | Zhipu AI | $1.40 | $4.40 | 1.4x |
| Claude Haiku 4.5 | Anthropic | $1.00 | $5.00 | 1.5x |
| Kimi K2.6 | Moonshot AI | $0.95 | $4.00 | 1.8x |
| Doubao Seed 2.1 Pro | ByteDance | $0.85 | $4.23 | 1.8x |
Before switching, price the move properly: the model switching savings calculator puts two models against the same workload and shows the annual difference.
Models priced near Qwen3.8 Max
If cost is roughly fixed and you are choosing on capability instead, these are the models sitting closest to Qwen3.8 Max on price.
| Model | Provider | Input / 1M | Output / 1M | Blended |
|---|---|---|---|---|
| Gemini 3.6 Flash | $1.50 | $7.50 | $3.00 | |
| Mistral Medium 3.5 | Mistral | $1.50 | $7.50 | $3.00 |
| Grok 4.6 | xAI | $2.00 | $6.00 | $3.00 |
| Grok 4.5 | xAI | $2.00 | $6.00 | $3.00 |
How to pay less for Qwen3.8 Max
Prompt caching. Cache-hit input tokens bill at $0.25 instead of $2.00, which is 88% off. This matters most for workloads that resend a large, mostly-static prefix on every call: system prompts, tool definitions, retrieved documents, long conversation histories. The saving scales with your cache hit rate, so the prompt caching savings calculator is the honest way to size it rather than assuming a perfect hit rate.
Batch processing. Alibaba takes 50% off both input and output when the work goes through the async batch API instead of the real-time one. Anything latency-tolerant qualifies: bulk classification, offline summarisation, dataset labelling, nightly enrichment jobs. The batch API savings calculator shows what that is worth against your volume.
About Alibaba
Alibaba's Qwen line spans a flagship Max tier down to a Flash tier that is the cheapest model on this entire site. Rates differ sharply by region.
See every Alibaba model and how the lineup is tiered on the Alibaba pricing page, or put Qwen3.8 Max against all 60 models from all 17 providers on the comparison table.
Qwen3.8 Max pricing FAQ
How much does Qwen3.8 Max cost per 1M tokens?
Qwen3.8 Max costs $2.00 per 1M input tokens and $6.00 per 1M output tokens. Cached input tokens are cheaper again at $0.25 per 1M, a 88% discount on repeated context.
Is Qwen3.8 Max expensive compared to other models?
It ranks 41 of 60 on a blended rate that weights input and output 3:1, so 40 tracked models are cheaper and 19 are more expensive. That works out to 55x the blended rate of Qwen3.7 Flash, the cheapest model tracked here.
What does a real workload cost on Qwen3.8 Max?
A support chatbot handling 50,000 conversations a month at 3K input and 500 output tokens each comes to about $450.00 a month. A coding agent doing 5,000 runs at 60K input and 8K output per run comes to about $840.00. Run your own numbers in the API cost calculator.
Why is Qwen3.8 Max output more expensive than input?
Output on this model is 3.0x the input rate. Every output token needs its own forward pass through the model, while input tokens are processed in parallel, so output costs more to serve across essentially every provider. It also means a workload's input:output mix, not just its total token count, drives the bill.
What is a cheaper alternative to Qwen3.8 Max?
Magistral Medium from Mistral is the closest cheaper option at $2.00 / $5.00, roughly 1.1x cheaper on a blended basis. Whether it is a real substitute depends on whether your task actually needs the extra capability.