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  4. Qwen3.5 397B A17B
Alibaba
Released February 16, 2026

Qwen3.5 397B A17B

Qwen3.5 397B A17B is Qwen's flagship model that launched the Qwen3.5 series, unifying separate vision, text, and reasoning model lines into one.

Visit AlibabaAnnouncement
Inputs
Text
Image
Video
Outputs
Text

Model Overview

Capabilities, design details, and architectural traits

Qwen3.5 397B A17B - The Flagship Model That Launched the Qwen3.5 Series

Qwen3.5 397B A17B is documented as a multimodal foundation model featuring a Hybrid Mixture-of-Experts architecture with early fusion vision-language training. It is the first model Qwen released in the Qwen3.5 series, built to fold capabilities that used to live in separate model lines into one.

TraitDetail
Defining purposeA multimodal foundation model with early fusion vision-language training, designed for chat, retrieval-augmented generation, vision-language understanding, video understanding, and agentic workflows.
First Qwen3.5 releaseDocumented as the first model released in the Qwen3.5 series, serving as the flagship entry point for the generation rather than a smaller companion size.
Unifies vision and text linesBuilt as one native multimodal model, rather than maintaining separate vision focused and text only model lines as in the prior Qwen3 generation.
One model, two reasoning modesSupports both a thinking mode and a non-thinking mode inside a single model, rather than shipping separate instruct and thinking variants as before.

Built on Gated Delta Networks and Sparse Mixture-of-Experts

Qwen documents the model's efficiency as coming from Gated Delta Networks combined with a sparse Mixture-of-Experts design, aimed at high throughput inference with reduced latency and overhead.

Benchmark Performance

Independent evaluations · Artificial Analysis

34.3%
Intelligence
48.2%
Coding Index
19.8%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science89.3%
Humanity's Last Exam29.0%
SciCode - Scientific Coding42.0%
Instruction Following78.8%
Long Context Reasoning72.7%
τ²-Bench - Agentic Tasks95.6%
TerminalBench - System Control40.9%
Specs
Context window
262Ktokens
Input pricing
$0.60per 1M tokens
Output pricing
$3.60per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Scientific Biology90%
Translation & Lang90%
Advanced Math80%
Legal & E-Discovery80%
Financial Analysis80%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderAlibabaAnthropicAnthropic
Release DateFebruary 16, 2026July 24, 2026June 9, 2026
Knowledge Cutoff-May 2026-
Context & Limits
Context Window262K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.60
Best Input Pricing
$5$10
Output Pricing
$3.60
Best Output Pricing
$25$50
Modalities
Inputs
textimagevideo
textimage
textimagefile
Outputs
text
text
text
Benchmarks (0-100)
Intelligence Index32.7
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
Qwen3.5 397B A17B
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

86%
Qwen3.5 397B A17B
GPQA Benchmark
Score: 86%
Qwen3.5 397B A17B
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

20%
Qwen3.5 397B A17B
Humanity's Last Exam
Score: 20%
Qwen3.5 397B A17B
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

62%
Qwen3.5 397B A17B
Long Context Reasoning
Score: 62%
Qwen3.5 397B A17B
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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