Qwen: Qwen3 8B
Analysis Summary
Qwen: Qwen3 8B sits in the Efficient tier on our leaderboard, ranked #213 of 556 published models on overall intelligence. At $0.050 input and $0.400 output per 1M tokens, it is among the most expensive on the market. It offers a mid-sized context window and supports tool use, function calling, and reasoning.
Editorial notes
Qwen3 8B includes tool use and function calling at $0.05/$0.40 per million tokens with a 40K context; reasoning and agentic scores are modest but it offers reasonable value for lightweight structured tasks.
Assessed May 14, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,..
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 8B stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
qwen/qwen3-8b
|
| Provider | qwen |
| Release Date | April 28, 2025 |
| Context Length | 40,960 tokens |
| Max Completion | 8,192 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.05 | $0.000050 |
| Output | $0.40 | $0.000400 |
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 14, 2026 8:38 pm