qwen3.8-max
Input price$2
Output price$6
AlibabaTextVision
qwen3.5-plus
qwen3.5-plus is Alibaba's model at $0.40 input and $2.40 output per million tokens, with a 1000K context window. On a typical 3:1 input-to-output mix that blends to roughly $0.90 per million tokens, placing it in the mid-range band of the 68 models tracked here — cheaper than 57% of them.
Context window1000K
Input price$0.4 / 1M
Output price$2.4 / 1M
Output speed100 tok/s
Quality score89
Data updatedUpdated Aug 2026
Price verified2026-08-06 · Official
Price noteRises to $0.50 / $3.00 above 256K input tokens
By price, qwen3.5-plus ranks 24th cheapest of 68 on input and 34th on output. Its quality score of 89 ranks 26th of 68, and on value (quality score ÷ output price) it ranks 34th of 68. Its blended rate sits 67% below the catalog average.
In real billing terms: a support chatbot handling 50,000 turns a month (2,000 input / 500 output tokens each) costs about $100 per month on qwen3.5-plus, while a RAG workload of 20,000 queries (8,000 input / 800 output tokens each) runs about $102. Because output is priced 6.0× input here, long-generation tasks scale cost fastest — cap output length before you optimise anything else.
A 1000K context window holds roughly 1,333 pages of A4 text (at ~750 tokens per page), ranking 22nd of 68 here. That is enough to drop in an entire technical manual or several source files at once, which suits long-document summarization and codebase-wide analysis. Output runs at about 100 tok/s (29th fastest of 68), acceptable interactively, though long responses will feel slow.
We track 6 Alibaba models, and qwen3.5-plus's blended rate sits 19% above that provider's average. If your task tolerates a little less headroom, Hunyuan HY3 (Tencent) blends about 89% cheaper at a quality score of 87, and is worth benchmarking first. Going the other way, qwen3.5 scores 91 on quality for about 88% less.
The closest model in Alibaba's line-up is qwen-plus ($0.26 input / $0.78 output, quality 84). Against it, qwen3.5-plus scores 5 points higher on quality, runs 10 tok/s slower (about 9%), has a 869K larger context window, costs 57% more blended. When two models sit this close on price, the deciding factor is usually the quality ceiling — run both against your real prompts before picking.
Estimated monthly cost
Monthly API spend across four common workloads, next to the cheapest model we track.
| Workload | Usage assumption | This model | Cheapest model |
|---|---|---|---|
| Support chatbot | 2,000 input / 500 output tokens per turn, 50,000 turns per month | $100 | $3.00 |
| RAG document Q&A | 8,000 input / 800 output tokens per query, 20,000 queries per month | $102 | $3.84 |
| Coding assistant | 12,000 input / 2,000 output tokens per request, 10,000 requests per month | $96 | $3.20 |
| Batch summarization | 4,000 input / 400 output tokens per item, 200,000 items per month | $512 | $19 |
Derived directly from the rates on this page. Excludes prompt caching, batch discounts and free tiers.
How it compares
The alternatives worth benchmarking alongside it, from the same dataset.
| Model | Provider | Blended /1M | Quality | Price delta |
|---|---|---|---|---|
| qwen3.5-plus | Alibaba | $0.90 | 89 | — |
| Hunyuan HY3Cheaper option | Tencent | $0.10 | 87 | -89% |
| qwen3.5Higher quality | Alibaba | $0.11 | 91 | -87% |
| qwen-plusSame provider | Alibaba | $0.39 | 84 | -57% |
| qwen3.5-flashBest value overall | Alibaba | $0.055 | 82 | -94% |
Best for
ChatbotCodingLong Context
Modalities
TextVision
Where it fits — and where it doesn't
Good fit
- Coding: writing, refactoring and debugging across multi-file project context.
- Chat and support: natural multi-turn conversation for user-facing products.
- Long documents: a 1000K window ingests a full contract, paper or large codebase in one pass.
- Multimodal input: handles images, screenshots and scanned documents directly.
Poor fit
- No obvious disqualifiers — still benchmark on your own data before committing.
Frequently asked questions
How much does the qwen3.5-plus API cost?
qwen3.5-plus costs $0.40 per million input tokens and $2.40 per million output tokens. On a 3:1 input-to-output mix that blends to about $0.90 per million tokens.
What does qwen3.5-plus cost per month?
It depends on volume. Using the four worked scenarios on this page: a support chatbot runs about $100/month, RAG document Q&A about $102/month, a coding assistant about $96/month, and batch summarization about $512/month. Plug your own token counts into the cost calculator for a tailored figure.
How large is the qwen3.5-plus context window?
1000K tokens — roughly 1,333 pages of A4 text at ~750 tokens per page, ranking 22nd of the 68 models tracked here.
qwen3.5-plus or Hunyuan HY3 — which is better value?
Hunyuan HY3 blends to about $0.10 per million tokens versus $0.90 for qwen3.5-plus — roughly 89% cheaper — at a quality score of 87 against 89. If that quality gap does not show up on your task, take the cheaper one; if it does, stay with qwen3.5-plus. Benchmark both on your own data before deciding.
What is qwen3.5-plus best suited for?
Tagged use cases: chatbot, coding, long-context. Coding: writing, refactoring and debugging across multi-file project context. Less suitable: No obvious disqualifiers — still benchmark on your own data before committing.
How current is this qwen3.5-plus pricing?
Pricing here was last verified on 2026-08-06 against official documentation. llmprice.app runs a daily collection job, but providers can change rates between runs — confirm against Alibaba's official pricing page before you commit.
Estimate the real cost of this model
Bring tokens per request and monthly volume into the calculator to compare total model costs.
Related models
Continue by provider and use case.
View model
qwen3.5
Input price$0.1
Output price$0.15
qwen3.5-flash
Input price$0.03
Output price$0.13
Pricing, speed and quality scores change over time. Confirm official documentation before production use.