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Qwen: Qwen3 30B A3B Coding Benchmark

Qwen3, the latest generation in the Qwen large language model series, features both dense and mixture-of-experts (MoE) architectures to excel in reasoning, multilingual support, and advanced agent tasks. Its unique...

Context40,960tokens
Max Output16,384tokens
Inputmodality
Price$0.13/1M input

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Coding Performance

Coding benchmarks and performance metrics for development tasks

Security

Enkrypt AI red-team scores for Qwen: Qwen3 30B A3B. Each value is the share of successful attacks on a 0–100 scale — lower is safer.

Overall risk
49.6

Lower is safer

Safety

25.0/ 100

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

NIST

50.0/ 100

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

OWASP

53.0/ 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.

Jailbreak27.1/ 100

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

Bias91.5/ 100

Share of tests that elicited biased responses.

Harmful content61.7/ 100

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

Toxicity2.1/ 100

Share of tests that produced toxic or abusive content.

CBRN55.7/ 100

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

Insecure code37.3/ 100

Share of tests that produced vulnerable or malicious code.

Score
Value
Overall risk
49.6 / 100
Safety
25.0 / 100
NIST
50.0 / 100
OWASP
53.0 / 100
Jailbreak
27.1 / 100
Bias
91.5 / 100
Harmful content
61.7 / 100
Toxicity
2.1 / 100
CBRN
55.7 / 100
Insecure code
37.3 / 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
$0.13
per 1M tokens
Output Tokens
$0.52
per 1M tokens

Example Cost

Analyzing a 10,000 line codebase (≈40k input tokens, 10k output tokens) costs approximately $0.0104

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/qwen3-30b-a3b
Created
April 28, 2025
Tokenizer
Qwen3
Input Modalities
Text
Context Window
40,960 tokens
Max Completion Tokens
16,384 tokens
Input Price
$0.13 per 1M tokens
Output Price
$0.52 per 1M tokens
Content Moderation
Disabled

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