Alibaba

AQwen3.5-27BOPEN

Qwen3.5-27B (Alibaba): live API pricing, context window and the best open-source alternatives, tracked daily by OpenSourceAI.tech.

Context window
262K
tokens
Input price
$0.2
per M tokens
Output price
$1.56
per M tokens
Provider
Alibaba

Prices update automatically — checked hourly against provider list prices.

See model comparisons → Compare all model prices

Benchmarks & performance

Independent benchmark scores for Qwen3.5-27B, measured by Artificial Analysis. Higher is better. Measurement mode: Reasoning.

6.7×
More intelligence per dollar than Claude Opus 5.
For the same budget, Qwen3.5-27B delivers 6.7 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Intelligence index33.8
GPQA85.8%
Humanity's Last Exam22.2%
Long Context Reasoning67.3%
SciCode39.5%
IFBench75.6%
τ²-Bench93.9%
Terminal-Bench Hard32.6%
💰 Blended price$0.825 / 1M tokens
📈 Value41 intelligence points per $
Benchmark data by Artificial Analysis

About this model

Qwen3.5-27B is an open-weight AI model by Alibaba. You can download and self-host it for free; the prices below are hosted-API list prices, tracked hourly, for when you prefer convenience over self-hosting.

Frequently asked questions

What is Qwen3.5-27B?

Qwen3.5-27B is an AI language model from Alibaba. It is open-weight: you can download it and run it on your own hardware, for free. It scores 33.8 on the Artificial Analysis intelligence index.

Is Qwen3.5-27B free?

The weights are free and open — you can self-host Qwen3.5-27B and pay nothing per token. If you prefer a hosted API, list prices are $0.2 per million input tokens and $1.56 per million output tokens.

What is Qwen3.5-27B good at?

Independent benchmarks from Artificial Analysis give it GPQA 85.8%, Humanity's Last Exam 22.2%, Long Context Reasoning 67.3%, SciCode 39.5%, IFBench 75.6%, τ²-Bench 93.9%, Terminal-Bench Hard 32.6%.

Can I self-host Qwen3.5-27B?

Yes. Qwen3.5-27B has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.

Open-source alternatives

Depending on your workload, an open-weight model that you can self-host may cut costs dramatically or remove per-token pricing entirely. Our comparison pages put this model side by side with the strongest open-source contenders.

Qwen3.6 PlusAlibabaQwen3.7 PlusAlibabaQwen3.7 MaxAlibabaQwen3.5-FlashAlibabaQwen3.6 35B A3BAlibabaQwen3 235B A22B Instruct 2507Alibaba