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Qwen3.5-397B-A17B

Active Parameters

397B

Context Length

262K

Modality

Multimodal

Auxiliary Parameters

450M

Architecture

Mixture of Experts

KV Cache Rate

120 KB/tok

License

Apache 2.0

Release Date

24 Feb 2026

Knowledge Cutoff

-

API Pricing (per 1M)

Input: $0.50 · Output: $3.60

Hardware Sizing

Precision

Context

Workload Memory: 774.57 GB

FP16 · 8K context

Base Weights: 771.14 GB

KV Cache: 0.94 GB

Runtime & Graphs: 2.50 GB

Minimum Required Hardware

8x NVIDIA H200 141GB

774.6 / 1015.2 GB usable · TP 8

Determine requirements for datacenter hardware:

Upgrade to Pro

Architecture Diagram

Input TokensToken EmbeddingPosition: RoPEHidden: 4.1k · Context: 262K · Vocab: 248.3kx 60 layersRMSNormPre-AttentionGrouped-Query Attention32Q / 2KV headsHead dim: 256+RMSNormPre-FFNSparse MoE FFN (11/512 experts)SwiGLUIntermediate: 1k+Final RMSNormOutput Logits

Evaluation Benchmarks

Rank

#52

BenchmarkScoreRank

Professional Knowledge

MMLU Pro

0.878

4

0.763

16

Graduate-Level QA

GPQA

0.884

29

General Text

Text Arena

1442

73

Web Development

WebDev Arena

1400

81

0.48

91

Agentic Index

Artificial Analysis
auto

0.08

94

Intelligence Index

Artificial Analysis
auto

0.18

Standard

0.21

175

142

Rankings

Overall Rank

#52

Coding Rank

#85

About Qwen3.5-397B-A17B

Qwen3.5-397B-A17B is Alibaba Cloud's largest and most capable multimodal foundation model, released February 2026. With 397B total parameters and 17B activated through a Mixture-of-Experts architecture (512 experts), it achieves state-of-the-art scores on MMLU-Pro (87.8%), GPQA Diamond (88.4%), SWE-bench Verified (80.0%), and Terminal-Bench 2.0 (54.0%). It features unified vision-language capabilities, extended context up to 1M tokens, and excels in coding agents, general agents, multimodal reasoning, and multilingual understanding across 201 languages.

Technical Specifications

Attention

Attention Structure

Grouped-Query Attention

Attention Heads

32

Key-Value Heads

2

Attention Head Dimension

256

Position Embedding

ROPE

RoPE Theta

10,000,000

Linear Attention

Yes

Linear Attention Ratio

75.0%

Normalization

RMS Normalization

Activation Function

SwigLU

Dimensions

Auxiliary Parameters

450M

Hidden Dimension Size

4,096

Number of Layers

60

FFN Intermediate Size (Dense)

1,024

Multi-Token Prediction Heads

1

Tokenizer

Vocabulary Size

248,320

Mixture of Experts

Total Expert Parameters

17.0B

Number of Experts

512

Active Experts

11

FFN Intermediate Size (per Expert)

1,024

About Qwen 3.5

Qwen 3.5 is Alibaba Cloud's latest-generation foundation model family, released February 2026. It represents a significant leap forward, integrating breakthroughs in multimodal learning (unified vision-language foundation), efficient hybrid architecture (Gated Delta Networks with sparse Mixture-of-Experts), scalable reinforcement learning across million-agent environments, and global linguistic coverage spanning 201 languages. Available under Apache 2.0 license with open weights.


Other Qwen 3.5 Models