Qwen3.8-Flash-Next
Alibaba's open-weight preview of the architecture it says will underpin Qwen4: a 125B mixture-of-experts model with 6B active per token, under the Qwen Community 1.0 licence.
- Params
- 125B, 6B active
- Context
- 262K tokens
- Max output
- 131K
- Released
- License
- Qwen Community 1.0
Hosted API price
Cheapest via Lyceum · per 1M tokens
- Input
- $0.20 /1M
- Output
- $0.50 /1M
- 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 Qwen3.8-Flash-Next, 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 |
|---|---|---|---|---|---|
|
|
$0.20 | $0.50 | $0.05 | $3.00 | Visit website |
|
|
Open weights, no hosted price | 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.
Estimated cost to self-host
Qwen3.8-Flash-Next needs about 72 GB of GPU memory at 4-bit with 32K context. The cheapest rental that fits is 4× RTX 3090 at about $864 a month.
That costs the same as roughly 3B tokens a month on Lyceum's API. Self-hosting is more expensive below that volume.
| Precision | Memory | Cheapest fit (32K context) | Cost /mo | Break-even vs API |
|---|---|---|---|---|
| 4-bit INT4 / FP4 | 72 GB |
|
$864 | 3B tokens /mo |
| 8-bit FP8 / INT8 | 128 GB |
|
$1,728 | 7B tokens /mo |
| 16-bit FP16 / BF16 | 253 GB |
|
$3,629 | 15B tokens /mo |
Estimates based on median on-demand rates for Nvidia GPUs. Memory is weights plus KV cache for one request, using FP8 KV cache where supported and FP16/BF16 otherwise. Break-even assumes a 5:1 input-to-output ratio. No guarantee of runtime support, usable performance, or that a matching quantized build exists. Pricing methodology.
Similarly priced models
The models nearest Qwen3.8-Flash-Next by blended rate, each at its own cheapest provider.
| Model | Blended /1M | Input /1M | Output /1M | Context | Cutoff | vs Qwen3.8-Flash-Next |
|---|---|---|---|---|---|---|
|
|
$0.225 | $0.17 | $0.50 | 262K | −10% | |
|
|
$0.2283 | $0.078 | $0.98 | 262K | −9% | |
|
|
$0.24 | $0.16 | $0.64 | 10M | Aug 2024 | −4% |
|
|
$0.24 | $0.16 | $0.64 | 33K | −4% | |
|
|
$0.2487 | $0.115 | $0.917 | 262K | −1% | |
|
|
$0.25 | $0.20 | $0.50 | 262K | ||
|
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$0.2827 | $0.20 | $0.696 | 1M | Aug 2024 | +13% |
|
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$0.2833 | $0.20 | $0.70 | 262K | +13% | |
|
|
$0.30 | $0.20 | $0.80 | 131K | Jan 2026 | +20% |
|
|
$0.30 | $0.30 | $0.30 | 33K | +20% | |
|
|
$0.30 | $0.20 | $0.80 | 33K | +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 Qwen3.8-Flash-Next 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.
Common questions
What is Qwen3.8-Flash-Next good for?
Text, image and video agent and coding work you run yourself, with thinking on by default and a reasoning effort setting. Qwen Community 1.0 weights, on a multi-GPU node.
When is Qwen3.8-Flash-Next not a good fit?
Audio input or image output, and there is no built-in web search, though a host or your own tool loop can add one. It takes a multi-GPU node, and Alibaba calls it an experimental preview, with the hosted Qwen3.8-Flash carrying the production features instead.
What is the cheapest way to run Qwen3.8-Flash-Next?
Can I self-host Qwen3.8-Flash-Next?
Yes. The weights are Qwen Community 1.0 licensed. At 4-bit it needs about 72 GB of GPU memory, which starts at roughly $864 a month on the cheapest rental that fits.
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