Qwen3.5-397B-A17B

Name: Qwen3.5-397B-A17B
Price: 0.5 USD
Availability: InStock
Author: Alibaba

Multimodal modelQwen3.5

Qwen3.5-397B-A17B

Release date: 2026-02-16Updated: 2026-07-17 21:57:56.1312,801

Live demo GitHub Hugging Face Compare

Parameters

39.7B

Context length

256K

Chinese support

Supported

Reasoning ability

Qwen3.5-397B-A17B is a multimodal model from Alibaba, released on 2026-02-16. It accepts text, image, and video input and returns text output. The cataloged parameter count is 39.7B, with 1.7B active parameters per inference. The recorded context window is 256K. Cataloged capabilities include Reasoning model and Multilingual. The checkpoint is listed under the Apache 2.0 license, with the license link included in the model references. Use the linked references to confirm current access, licensing, and provider-specific limits.

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Qwen3.5-397B-A17B

Model basics

Reasoning traces

Supported

Thinking modes

Thinking Mode (Default)Standard Mode

Context length

256K tokens

Max output length

No data

Model type

Multimodal model

Modality (in / out)

Text, Image, Video → Text

Release date

2026-02-16

Model file size

No data

MoE architecture

Yes

Total params / Active params

39.7B / 1.7B

Knowledge cutoff

No data

Qwen3.5-397B-A17B

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- Commercial use permitted

GitHub repo

https://github.com/QwenLM/Qwen3.5

Hugging Face

https://huggingface.co/Qwen/Qwen3.5-397B-A17B

Live demo

https://chat.qwen.ai

Qwen3.5-397B-A17B

Official resources

Paper

DataLearnerAI blog

No blog post yet

Qwen3.5-397B-A17B

API details

API speed

3/5

💡Default unit: $/1M tokens. If vendors use other units, follow their published pricing.

Learn about pricing modes

Standard

Type	Condition	Input	Output
Text	-	$0.500/ 1M	$3.00/ 1M

Cache PricingPrompt Cache

Type	TTL	Write	Read
Text	5m	$0.625/ 1M	$0.050/ 1M

Qwen3.5-397B-A17B

Benchmark Results

Qwen3.5-397B-A17B currently shows benchmark results led by MMLU Pro (10 / 132, score 87.80), Pinch Bench (3 / 37, score 89.10), IF Bench (4 / 30, score 76.50). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.

General Knowledge

5 evaluations

Benchmark / mode

Score

Rank/total

C-Eval

Thinking Mode

3 / 10

GPQA Diamond

Thinking Mode

88.40

29 / 187

MMLU Pro

Thinking Mode

87.80

10 / 132

HLE

Thinking Mode

28.70

94 / 172

HLE

Thinking ModeToolsInternet

48.30

35 / 172

Coding and Software Engineer

4 evaluations

Benchmark / mode

Score

Rank/total

LiveCodeBench

Thinking Mode

83.60

20 / 123

SWE-bench Verified

Thinking ModeTools

76.40

33 / 112

SWE-bench Multilingual

Thinking Mode

69.30

20 / 23

SWE-Bench Pro - Public

Thinking Mode

50.90

39 / 54

Multimodal Understanding

1 evaluations

Benchmark / mode

Score

Rank/total

MMMU

Thinking Mode

5 / 29

Agent Level Benchmark

1 evaluations

Benchmark / mode

Score

Rank/total

τ²-Bench

Thinking ModeTools

86.70

7 / 43

Instruction Following

1 evaluations

Benchmark / mode

Score

Rank/total

IF Bench

Thinking Mode

76.50

4 / 30

AI Agent - Information Search

2 evaluations

Benchmark / mode

Score

Rank/total

BrowseComp

Thinking ModeToolsInternet

78.60

19 / 53

BrowseComp

Thinking ModeTools

29 / 53

AI Agent - Tool Usage

3 evaluations

Benchmark / mode

Score

Rank/total

OSWorld-Verified

Thinking ModeTools

62.20

19 / 24

Terminal Bench 2.0

Thinking ModeTools

52.50

30 / 47

Tool Decathlon

Thinking ModeTools

38.30

7 / 9

Math and Reasoning

2 evaluations

Benchmark / mode

Score

Rank/total

AIME 2026

Thinking Mode

91.30

13 / 18

IMO-AnswerBench

Thinking Mode

80.90

17 / 21

Long Context

2 evaluations

Benchmark / mode

Score

Rank/total

AA-LCR

Thinking Mode

68.70

7 / 15

LongBench v2

Standard Mode

63.20

2 / 11

Claw-style Agent Evaluation

1 evaluations

Benchmark / mode

Score

Rank/total

Pinch Bench

Thinking ModeTools

89.10

3 / 37

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Qwen3.5-397B-A17B

Publisher

Alibaba

View publisher details

Qwen3.5-397B-A17B

Model Overview

Qwen3.5-397B-A17B is a multimodal model from Alibaba, released on 2026-02-16.

It accepts text, image, and video input and produces text output. Its cataloged capabilities include Reasoning model and Multilingual. The cataloged parameter count is 39.7B, with 1.7B active parameters per inference. The recorded context window is 256K.

The checkpoint is listed under the Apache 2.0 license, with the license link included in the model references. The page records 4 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment. The evaluation section contains 22 cataloged benchmark results with their recorded modes and scores. The page links 4 release, model-card, repository, or provider references for checking the underlying claims. Specifications, availability, and prices can change; undisclosed values are intentionally left unstated.

Qwen3.5-397B-A17B

FAQ

What is Qwen3.5-397B-A17B?

What input and output modalities does Qwen3.5-397B-A17B support?

The current model record lists text, image, and video as input and text as output.

What are the main recorded specifications for Qwen3.5-397B-A17B?

The cataloged parameter count is 39.7B, with 1.7B active parameters per inference. The recorded context window is 256K. Fields without a source-backed value remain undisclosed.

Does Qwen3.5-397B-A17B have API pricing?

The page records 4 API pricing rules from the listed provider; current provider pricing and conditions should be checked before deployment.

Are benchmark results available for Qwen3.5-397B-A17B?

The evaluation section contains 22 cataloged benchmark results with their recorded modes and scores. Compare only results that use the same benchmark version and evaluation mode.

Is Qwen3.5-397B-A17B open source?

The checkpoint is listed under the Apache 2.0 license, with the license link included in the model references. Review the linked license text before commercial or derivative use.

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