Qwen3-Coder: The Most Capable Agentic Coding Model Now Available on Together AI

Qwen3-Coder: The Most Capable Agentic Coding Model Now Available on Together AI

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Published 7/25/2025

Qwen3-Coder: The Most Capable Agentic Coding Model Now Available on Together AI

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Together AI

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40+ Models Chosen for Production...40+ Models Chosen for Production...40+ Models Chosen for Production...

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Qwen 3 Coder ‍ Try now in Playground Contact us for Enterprise ‍ Get notified

Code Smarter with Qwen3-Coder on Together AI's frontier AI cloud Starting today on Together AI, you can access Qwen3-Coder-480B-A35B-Instruct from the Qwen herd — the most capable agentic coding model available. Unlike traditional coding assistants that excel at individual functions but struggle with complex workflows, Qwen3-Coder delivers frontier-level performance on the messy, interconnected work that defines real software engineering. Summary Most capable agentic coding model : 480B parameters with 256K context natively (1M with extrapolation) Frontier performance : State-of-the-art SWE-bench Verified results, comparable to Claude Sonnet 4 Production-ready deployment : Together AI's optimized infrastructure makes massive models instantly accessible Real engineering workflows : Handles entire codebases, not just isolated code snippets

Performance That Actually Matters 📊 Benchmark 🤖 Qwen3-Coder 🏛️ Claude Sonnet 4 📈 Other Open Models 🔧 SWE-bench Verified 69.6% 70.4% ~40-50% 🎯 Agentic Coding 37.5 39.0 ~25-30 🌐 Agentic Browser Use 49.9 47.4 ~35-40 🛠️ Agentic Tool Use 68.7 65.2 ~45-55

🚀 Qwen3-Coder achieves frontier-level performance on complex autonomous workflows. These aren't toy benchmarks — they represent the messy, interconnected engineering work that traditional coding models can't handle. Together AI's continuous optimizations mean these capabilities improve over time without requiring any migration work on your end. Why This Changes Everything for Development Teams Most coding models hit the same wall when faced with real engineering work. They can write clean functions in isolation, but ask them to refactor a legacy system or implement a feature spanning multiple services, and they fall apart. The breakthrough: Qwen3-Coder can hold your entire codebase in working memory while autonomously executing complex engineering workflows. Need to modernize authentication across a microservices architecture? It understands the database schema, API contracts, frontend implications, test requirements, and deployment considerations — all simultaneously. What makes this possible on Together AI is our infrastructure built ground-up for AI workloads, not retrofitted from general cloud services. This architectural advantage means deploying a 480B parameter model becomes as simple as calling a standard API. ⚡ Massive Scale 480B total 35B active parameters MoE efficiency

🧠 Advanced Training 7.5T tokens 70% code ratio Complex RL workflows

🚀 Production Ready Zero setup Instant deployment 4x faster inference

Real Engineering Applications Qwen3-Coder excels at the complex tasks that define modern software development: 🔄 Legacy System Modernization Comprehensive analysis, security vulnerability identification, migration planning, and implementation across multiple services while maintaining backward compatibility. Perfect for OAuth migrations, framework upgrades, and architectural refactoring.

⚙️ Cross-System Feature Development End-to-end implementation spanning backend APIs, frontend components, database changes, and deployment pipelines with proper error handling. Handles rate limiting, payment integrations, and multi-tenant features that touch every part of your stack.

🔍 Complex Debugging & Root Cause Analysis Distributed system issue investigation, understanding failure propagation, and implementing systematic fixes that address underlying problems. Traces issues across microservices, identifies performance bottlenecks, and suggests architectural improvements.

Deploy on Together AI's Optimized Infrastructure Deploying a 480-billion parameter model for production development workflows presents real challenges. Most cloud providers force impossible tradeoffs between performance, reliability, and cost. Together AI's infrastructure eliminates these compromises entirely. 🚀 Performance Research-driven optimizations Custom kernels & scaling

⚡ Reliability 99.9% uptime SLA Multi-region deployment

🔒 Security SOC 2 compliant North American infrastructure

Our platform delivers native AI performance through custom optimizations specifically designed for large language models. Automatic scaling handles unpredictable AI traffic patterns without throttling, while continuous infrastructure improvements benefit all users automatically — no migration required. Getting Started Deploy Qwen3-Coder immediately through Together AI's production APIs: Use our Python SDK to quickly integrate Qwen3-Coder into your applications:

from together import Together

client = Together()

response = client.chat.completions.create( model="Qwen/Qwen3-Coder-480B-A35B-Instruct-FP8", messages=[], stream=True ) for token in response: if hasattr(token, 'choices'): print(token.choices[0].delta.content, end='', flush=True)

Start building today: Interactive Playground — Test complex workflows before production API Documentation — Integration guides and examples Batch API — Cost-effective processing for large refactoring tasks Fine-tuning access — Customize for your specific engineering practices