Agent-Capable LLM Comparison
In this table, we compare 2026’s leading open-source LLMs for agent workflows, each with a unique strength. For purpose-built agent applications, GLM-4.5-Air provides optimized tool use and web browsing. For specialized agentic coding, Qwen3-Coder-30B-A3B-Instruct delivers state-of-the-art performance. For complex reasoning agents, Qwen3-30B-A3B-Thinking-2507 offers advanced thinking capabilities. This side-by-side view helps you choose the right model for your specific agent workflow needs.
| Number | Model | Developer | Subtype | SiliconFlow Pricing (Output) | Core Strength |
|---|---|---|---|---|---|
| 1 | GLM-4.5-Air | zai | Reasoning, MoE, 106B | $0.86/M tokens | Purpose-built agent foundation |
| 2 | Qwen3-Coder-30B-A3B-Instruct | Qwen | Coder, MoE, 30B | $0.4/M tokens | State-of-the-art agentic coding |
| 3 | Qwen3-30B-A3B-Thinking-2507 | Qwen | Reasoning, MoE, 30B | $0.4/M tokens | Advanced reasoning for agents |
https://www.siliconflow.com/articles/en/best-open-source-LLM-for-Agent-Workflow