Qwen: Qwen3 30B A3B
Analysis Summary
Qwen: Qwen3 30B A3B sits in the Efficient tier on our leaderboard, ranked #185 of 557 published models on overall intelligence. At $0.090 input and $0.450 output per 1M tokens, it is among the most expensive on the market. It offers a standard large context window and supports tool use, function calling, and reasoning.
Editorial notes
Qwen3 30B A3B is a sparse MoE model with strong instruction following and competitive livecodebench performance at low cost; intelligence and agentic indices are limited relative to larger models.
Assessed May 17, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
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..
Capabilities
Architecture Detail
| Instruct Type | qwen3 |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Qwen: Qwen3 30B A3B stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen3-30b-a3b
|
| Provider | qwen |
| Release Date | April 28, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 20,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.09 | $0.000090 |
| Output | $0.45 | $0.000450 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
Leaderboard Categories
External Resources
Explore Related Models
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: May 20, 2026 8:38 pm