Qwen3 vs Claude Sonnet vs GPT-4
Which AI Agent Performs Best?

AI agents aren’t just chatbots—they plan tasks, use tools, browse the web, and complete workflows autonomously.

In 2025, three LLMs dominate the agent task arena:

This post compares their performance on:

1. Benchmarks: AgentBench & WebArena

Qwen3-Coder achieves state-of-the-art performance among open and closed models.

Qwen3-Coder excels in:

Task Type	GPT-4	Claude Sonnet	Qwen3-Coder
Call simple tools	✅ Stable	✅ Stable	✅ Stable
Multi-tool chain	⚠️ Occasional drift	✅ Strong	✅ Precise + Structured
Function format (JSON)	✅ Compliant	⚠️ Sometimes verbose	✅ Schema-accurate

Qwen3-Coder outperforms with highly structured JSON outputs and long memory.

Task	GPT-4	Claude Sonnet	Qwen3-Coder
Plan multi-step workflow	✅	✅	✅ + faster
Backtrack + revise strategy	⚠️ Often misses	✅	✅
Reflective decisions	✅ GPT-4 excels	⚠️ Weaker	✅ Matches GPT-4

Qwen3-Coder replicates Claude and GPT-4-like agent behavior using open weights.

Feature	GPT-4	Claude Sonnet	Qwen3-Coder
System prompts	✅ Strong	✅ Strong	✅ Fully supported
JSON output reliability	✅ GPT-4 level	⚠️ Sometimes verbose	✅ Highly structured
Few-shot imitation	✅	✅	✅
Function-like interface	✅ via OpenAI	❌	✅ Open via prompt

Qwen3’s structure-aware architecture shines in prompt engineering & tool use.

Feature	GPT-4	Claude Sonnet	Qwen3-Coder
Cost	$$$ (pay-per-use)	$$$ (API only)	💸 Free (self-host)
API Availability	✅	✅	🧪 vLLM / HF / Local APIs
On-prem Deployment	❌	❌	✅ 100% offline possible
Commercial Use	Limited by OpenAI	Anthropic license	✅ Apache 2.0

✅ Qwen3-Coder gives full control—ideal for researchers, startups, and private apps.

Qwen3-Coder matches or beats Claude Sonnet and GPT-4 in most agent benchmarks—while being fully open-source and free to deploy.

Step into a new era of AI-powered development with Qwen3 Coder the world’s most agentic open-source coding model.