Qwen3-Next-80B-A3B-Thinking

CheckpointQwen/Qwen3-Next-80B-A3B-ThinkingModel card indexedModel card

Support summary

Qwen3-Next-80B-A3B-Thinking is a checkpoint published by Qwen, built on the Qwen3NextForCausalLM architecture. TensorRT-LLM 1.2.1, the newest indexed TensorRT-LLM release, documents support. Official recipes or cookbooks cover SGLang, without pinning a stable release. vLLM lists its architecture, but not this exact checkpoint.

TensorRT-LLM documents support in 2 of 2 indexed releases, from 1.2.0 to 1.2.1.

Documented features
Reasoning parsers and Tensor parallelism
Configured context
262,144 tokens
License
apache-2.0

Hardware, quantization and features count only statements about this checkpoint; engine-wide capabilities are listed with each release.

Hugging Face model card
Publisher
Qwen
Task
text generation
License
apache-2.0
Library
transformers
Architecture
Qwen3NextForCausalLM
Weight tensor elements
81.3B
Tensor types
BF16
Configured context
262,144 tokens
Weight access
Public
Repository created
2025-09-09
Source 1: Qwen/Qwen3-Next-80B-A3B-Thinking · publisher model cardSource 2: Qwen/Qwen3-Next-80B-A3B-Thinking · Hugging Face metadataSource 3: Qwen/Qwen3-Next-80B-A3B-Thinking · publisher configurationReviewed
Model notes and sources

Engine support

3 engines

Engine support for Qwen3-Next-80B-A3B-Thinking
EngineReleaseCheckpoint supportEvidence scopeLast known supported
vLLM0.28.0Newest indexedArchitecture listed; exact checkpoint unknownNo supported release indexed
Features, dependencies and evidence for vLLM 0.28.0
SGLangVersion not pinnedRecipe / cookbookDocumented recipe

Official recipe

Source 1: sglang · docs/cookbook/autoregressive/Qwen/Qwen3-Next.mdxSource 2: sglang · docs/src/snippets/autoregressive/qwen3-next-deployment.jsxReviewed
No supported release indexed
Features, dependencies and evidence for SGLang 0.5.19
TensorRT-LLM1.2.1Newest indexedCheckpoint evidenceSource: TensorRT-LLM v1.2.1 · docs/source/models/supported-models.mdReviewed 1.2.1This release
Features, dependencies and evidence for TensorRT-LLM 1.2.1

Recipes and cookbooks