Qwen3.5-Flash
The low-cost tier of Alibaba's Qwen3.5 family, using a Gated DeltaNet plus MoE architecture for efficient multimodal processing.
Key Specifications
- Context window
- 1M tokens
- Max output
- 66K tokens
- Inputs
- Text, image, video
- Capabilities Show details
- Reasoning Thinks before it answers, always on or as a switchable mode. Function calling Connect to external tools, APIs, and systems. Structured output Return responses in structured formats like JSON. Web search Search the web for up-to-date information. Code execution Write and execute code in a sandboxed environment. MCP Connect to services via Model Context Protocol.
Hosted API pricing
| Provider | Input / 1M tokens | Output / 1M tokens | Cost at 10M in + 2M out | |
|---|---|---|---|---|
|
Alibaba Cloud
Creator
|
$0.10 | $0.40 | $1.80 | View |
Heads up: Base-tier, on-demand rates per 1M tokens; cached, batch and long-context tiers excluded. A provider may serve a shorter context or a quantized build than the creator's release. Verify before provisioning. More on how we price.
Similarly priced models
The models nearest Qwen3.5-Flash by blended rate, each at its own cheapest provider.
| Model | Blended / 1M | Input / 1M | Output / 1M | Context | Cutoff | vs Qwen3.5-Flash |
|---|---|---|---|---|---|---|
Gemma 4 26B A4B
Google Cloud
|
$0.1333 | $0.10 | $0.30 | 256K | Jan 2025 | −11% |
|
Qwen3-32B FP8
Alibaba Cloud
|
$0.1333 | $0.10 | $0.30 | 33K | −11% | |
|
Gemini 2.5 Flash-Lite
Google Cloud
|
$0.15 | $0.10 | $0.40 | 1M | Jan 2025 | 0% |
GPT-4.1 Nano
OpenAI
|
$0.15 | $0.10 | $0.40 | 1M | Jun 2024 | 0% |
Ministral 3 8B
Mistral
|
$0.15 | $0.15 | $0.15 | 256K | 0% | |
|
Qwen3.5-Flash
This model
Alibaba Cloud
|
$0.15 | $0.10 | $0.40 | 1M | ||
Llama 3.2 11B Vision
Meta
|
$0.155 | $0.05 | $0.68 | 128K | Dec 2023 | +3% |
Nemotron 3 Super 120B A12B
Nvidia
|
$0.1583 | $0.09 | $0.50 | 1M | Jun 2025 | +6% |
|
Gemma 4 31B
Google Cloud
|
$0.17 | $0.13 | $0.37 | 256K | Jan 2025 | +13% |
|
Qwen3-235B-A22B Instruct (2507)
Alibaba Cloud
|
$0.1717 | $0.09 | $0.58 | 262K | +14% | |
|
Llama 3.3 70B
Meta
|
$0.175 | $0.13 | $0.40 | 128K | Dec 2023 | +17% |
Prices are USD per 1M tokens at each model's cheapest listed provider. Blended is the cost of 10M input plus 2M output tokens, spread over the 12M.
Frequently Asked Questions
What is Qwen3.5-Flash good for?
High-volume text, image and video work with Alibaba's built-in tools. Alibaba built it as the low-cost tier of the Qwen3.5 family.
When is Qwen3.5-Flash not a good fit?
Self-hosting: the weights are closed, though its open backbone Qwen3.5-35B-A3B is available under Apache 2.0. No audio input or image output.
What is the cheapest way to run Qwen3.5-Flash?
The cheapest hosted rate is $0.10 / $0.40 per 1M tokens via Alibaba Cloud.
How does Qwen3.5-Flash compare with Qwen3.6-Flash?
Alibaba says Qwen3.6-Flash beats Qwen3.5-Flash by a wide margin at agentic coding and at math and code reasoning, and is much better at locating and detecting objects in images. Same 1M-token context and text, image and video input. Qwen3.5-Flash lists at 60% less per 1M input tokens and 73% less per 1M output tokens than Qwen3.6-Flash.
Can I self-host Qwen3.5-Flash?
No. Alibaba Cloud does not publish the weights; Qwen3.5-Flash is available only through hosted APIs.
More from Alibaba Cloud
| Model | Context | Input / 1M | Output / 1M |
|---|---|---|---|
|
Qwen3-32B FP8
Open weights
|
33K | $0.10 | $0.30 |
|
Qwen3-235B-A22B Instruct (2507)
Open weights
|
262K | $0.09 | $0.58 |
|
Qwen3.6-35B-A3B
Open weights
|
262K | $0.07 | $0.42 |
|
Qwen3.5-35B-A3B
Open weights
|
262K | $0.06 | $0.46 |
|
Qwen3.5-27B
Open weights
|
262K | $0.09 | $0.69 |
|
Qwen3.8-Flash
|
1M | $0.15 | $0.47 |
|
Qwen3-VL-8B
Open weights
|
262K | $0.15 | $0.50 |
|
Qwen-MT-Turbo
|
16K | $0.16 | $0.49 |