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Models / Alibaba / Qwen3.8 Flash Next

Alibaba · qwen

Qwen3.8 Flash Next

Open-weight experimental preview of the Qwen4 architecture: hybrid-attention MoE (125B total, 6B active) with vision encoder for coding, agent tasks, and image and video understanding

$0.20 in · $0.50 out

per 1M tokens · provider rate closest to the median. No first-party Alibaba price was listed. The reference price is Requesty's rate, the provider closest to the median.

Provider input prices run from $0.10 to $0.20 per 1M tokens. Output prices run from $0.20 to $0.50.

Context
262,144
Max output
131,072
Cache read
$0.05
Cache write
—
Reasoning
Yes
Tool calls
Yes
Structured output
Yes
Vision
Yes
Open weights
Yes
License
qwen-community-1.0
Released
Aug 27, 2026
Updated in source
Aug 27, 2026
Knowledge
—
Providers
5

Hugging Face weights

What this model costs per month

Prices are USD per 1M tokens. A month is 30 days. Cache hits use the cache-read rate when the model has one; otherwise the cache field is ignored.

monthly = requests/day × 30 × (input tokens × (1 − cache hit) × input price + input tokens × cache hit × cache-read price + output tokens × output price) ÷ 1,000,000

Providers

Base rates from Models.dev. Where a provider lists the model more than once, the row is the listing whose id is closest to the canonical model id.
ProviderInputOutputCache readCache writeStatus
Vultr$0.10$0.20———
AMD$0.15$0.47$0.016——
Requestyreference$0.20$0.50$0.05——
TensorX$0.20$0.50$0.05——
Cortecs$0.20$0.50$0.05——

Jobs this model qualifies for