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Qwen: Qwen3.5-35B-A3B Coding Benchmark

The Qwen3.5 Series 35B-A3B is a native vision-language model designed with a hybrid architecture that integrates linear attention mechanisms and a sparse mixture-of-experts model, achieving higher inference efficiency. Its overall...

Context262,144tokens
Max Output65,536tokens
Inputmodalities
Price$0.16/1M input

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Security

Enkrypt AI red-team scores for Qwen: Qwen3.5-35B-A3B. Each value is the share of successful attacks on a 0–100 scale — lower is safer.

Overall risk
22.3

Lower is safer

Safety

30.6/ 100

Composite safety risk from Enkrypt red-team evaluations. Lower is safer.

NIST

22.0/ 100

Average attack success across NIST-mapped tests: bias, harm, toxicity, CBRN, and insecure code.

OWASP

26.0/ 100

Weighted average of the same tests using OWASP Top 10 for LLMs 2025 risk rankings.

Attack categories

Percentage of successful attacks in each Enkrypt red-team category.

Jailbreak13.4/ 100

Share of jailbreak tests that bypassed the model's safety constraints.

Bias73.4/ 100

Share of tests that elicited biased responses.

Harmful content1.7/ 100

Share of tests that produced dangerous, violent, or hateful content.

Toxicity1.6/ 100

Share of tests that produced toxic or abusive content.

CBRN26.8/ 100

Share of tests that elicited chemical, biological, radiological, or nuclear assistance.

Insecure code8.0/ 100

Share of tests that produced vulnerable or malicious code.

Score
Value
Overall risk
22.3 / 100
Safety
30.6 / 100
NIST
22.0 / 100
OWASP
26.0 / 100
Jailbreak
13.4 / 100
Bias
73.4 / 100
Harmful content
1.7 / 100
Toxicity
1.6 / 100
CBRN
26.8 / 100
Insecure code
8.0 / 100

Security scores from the Enkrypt AI Safety Leaderboard · Last checked Sep 17, 2026

Real-World Usage

Real-world usage statistics from the Kilo Code community

Weekly Token Usage

No ranking data available for this model yet.

Real-world metrics from the Kilo Code Leaderboard

Pricing

Cost per 1 million tokens

Input Tokens
$0.16
per 1M tokens
Output Tokens
$1.30
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0195

Coding Capabilities

Features and parameters relevant to coding tasks

Coding Features

Function Calling
Can call external functions/APIs
Tool Choice
Control over function selection
Structured Outputs
JSON schema validation
Reasoning Tokens
Extended thinking for complex problems

Pricing details from OpenRouter

Technical Details

Architecture and implementation specifications

Specifications
Model ID
qwen/qwen3.5-35b-a3b
Created
February 25, 2026
Tokenizer
Qwen3
Input Modalities
TextImageVideo
Context Window
262,144 tokens
Max Completion Tokens
65,536 tokens
Input Price
$0.16 per 1M tokens
Output Price
$1.30 per 1M tokens
Content Moderation
Disabled

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