Qwen3.5-Flash
The low-cost tier of Alibaba's Qwen3.5 family, using a Gated DeltaNet plus MoE architecture for efficient multimodal processing.
- Context
- 1M tokens
- Max output
- 66K
Hosted API price
List price via Alibaba Cloud · per 1M tokens
- Input
- $0.10 /1M
- Output
- $0.40 /1M
- Cheapest
- $0.09 / $0.368 via EmpirioLabs AI
- Hosted by
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2 providers
Hosted API pricing
How we price
Order
Providers are listed cheapest input rate first, then by output rate, a tie going to the creator's own listing. A provider that lists the model without a published rate sits at the end.
Prices
Base-tier, on-demand rates in USD per 1M tokens, converted at ECB reference rates where a provider publishes in another currency. Cached-input and batch rates show only where a provider publishes them. "Cheapest" marks the one provider with the lowest input and output pair; a tie wears no badge.
Cost
Input rate times the input tokens plus output rate times the output tokens, at the monthly volume set above the table. Cached-input, batch, long-context and reasoning-token billing are not modelled.
Transparency and funding
- Affiliates: Affiliate links are marked. We may earn a commission if you click them, but commissions never affect the order.
Every provider serving Qwen3.5-Flash, cheapest input first. Set your monthly volume to see what each would bill.
| Provider | Input /1M | Output /1M | Cached input /1M | Cost at 10M in + 2M out | Link |
|---|---|---|---|---|---|
|
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$0.09 | $0.368 | $1.64 | Visit website | |
|
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$0.10 | $0.40 | $0.01 | $1.80 | Visit website |
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 |
|---|---|---|---|---|---|---|
|
|
$0.1042 | $0.075 | $0.25 | 1M | −24% | |
|
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$0.1083 | $0.05 | $0.40 | 400K | May 2024 | −21% |
|
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$0.124 | $0.057 | $0.459 | 262K | −9% | |
|
|
$0.1283 | $0.07 | $0.42 | 262K | −6% | |
|
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$0.1333 | $0.10 | $0.30 | 128K | Aug 2024 | −2% |
|
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$0.1363 | $0.09 | $0.368 | 1M | ||
|
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$0.1403 | $0.0935 | $0.374 | 1M | +3% | |
|
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$0.15 | $0.10 | $0.40 | 1M | Jan 2025 | +10% |
|
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$0.15 | $0.15 | $0.15 | 256K | +10% | |
|
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$0.1535 | $0.049 | $0.676 | 128K | Dec 2023 | +13% |
|
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$0.1633 | $0.14 | $0.28 | 1M | +20% |
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.
Capabilities
What Qwen3.5-Flash accepts and can do, as published by Alibaba Cloud.
- Text Accepts and generates natural-language text.
- Image Accepts images as input alongside text.
- Video Accepts video as input.
- 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.
Common 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 $0.09 / $0.368 per 1M tokens via EmpirioLabs AI; the creator's list price is $0.10 / $0.40.
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.
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