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Model prices / Alibaba / Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95BOpen weights

Alibaba · released 2026-08-12

No price from the maker itself is on record for Qwen3.8 2.4T A95B. The lowest of 23 providers is IteraCompute: $1.95 per 1M input tokens and $5.7 per 1M output tokens (as of 2026-11-12). Context window: 262K tokens, up to 131K output tokens per request.

Price by providerUSD per 1M tokens

ProviderInputOutputCachedNotes
IIteraComputeLowestqwen/qwen3.8-2.4t-a95b
$1.95$5.7$0.25LowestOfficial docs
AIHubMixqwen3.8-2.4t-a95b
$2$6$0.5Official docs
EEden AIqwen/qwen3.8-2.4t-a95b
$2$6$0.25Official docs
Fireworks AIaccounts/fireworks/models/qwen3p8-2p4t-a95b
$2$6$0.25Official docs
CCharm Hyperqwen3.8-2.4t-a95b
$2$6$0.25Official docs
KKilo Gatewayqwen/qwen3.8-2.4t-a95b
$2$6$0.25Official docs
DevPass (LLM Gateway)qwen3.8-2.4t-a95b
$2$6$0.25Official docs
LLLM Gatewaynovita/qwen3.8-2.4t-a95b
$2$6$0.25Official docs
MModalQwen/Qwen3.8-2.4T-A95B
$2$6$0.25Official docs
Novita AIqwen/qwen3.8-2.4t-a95b
$2$6$0.25Official docs
OpenRouterqwen/qwen3.8-2.4t-a95b
$2$6$0.25Official docs
RRequestyqwen3.8-2.4T-A95B
$2$6$0.2Official docs
12 more listings
ProviderInputOutputCachedNotes
SiliconFlowQwen/Qwen3.8-2.4T-A95B
$2$6$0.25Official docs
Vercel AI Gatewayalibaba/qwen3.8-2.4t-a95b
$2$6$0.25Official docs
CCortecsqwen3.8-2.4t-a95b
$2.5$6$0.625Official docs
OOpperqwen3.8-2.4t-a95b
$2.5$6$0.63Official docs
RRequestyqwen3.8-2.4T-A95B@eu
$2.5$6$0.63Official docs
TTensorXqwen/qwen3.8-2.4t-a95b
$2.5$6$0.63Official docs
Hugging FaceQwen/Qwen3.8-2.4T-A95B
$2.5$6.25—Official docs
MMerge Gatewayqwen/qwen3.8-2.4t-a95b
$2.5$6.25$0.5Official docs
AI/ML APIalibaba/qwen3.8-2.4t-a95b
$2.645$6.6125$0.529Official docs
Venice AIqwen-3-8-2-4t-a95b
$2.5$7.5$0.3125Official docs
Deep InfraDeprecatedQwen/Qwen3.8-2.4T-A95B
$2$6$0.2DeprecatedOfficial docs
RRunInfraDeprecatedInferact/Qwen3.8-2.4T-A95B-NVFP4
$2$6$0.2DeprecatedOfficial docs

Providers are those listed by models.dev. This site has not vetted them one by one; each provider's own page has the binding price.

About

Open-weight sparse MoE (2.4T total, 95B active), the open-weight twin of Qwen3.8 Max for coding, research, complex reasoning, and agentic workflows

Description from models.dev.

Specs

Type
Text
Context
262K
Max output
131K
Input
Text
Output
Text
Reasoning
Yes
Tool calling
Yes
Structured output
Yes
Knowledge cutoff
—
Open weights
Yes
Released
2026-08-12

Source

Prices and specs come from models.dev (MIT licence), updated 2026-11-12. Each provider's name links to its official docs. A provider priced at 0 usually includes the model in a subscription; it is not necessarily a free API.