LangMart: Qwen: Qwen3 Coder 480B A35B
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/qwen/qwen3-coder |
| Name | Qwen: Qwen3 Coder 480B A35B |
| Provider | qwen |
| Released | 2025-07-23 |
Description
Qwen3-Coder-480B-A35B-Instruct is a Mixture-of-Experts (MoE) code generation model developed by the Qwen team. It is optimized for agentic coding tasks such as function calling, tool use, and long-context reasoning over repositories. The model features 480 billion total parameters, with 35 billion active per forward pass (8 out of 160 experts).
Pricing for the Alibaba endpoints varies by context length. Once a request is greater than 128k input tokens, the higher pricing is used.
Description
LangMart: Qwen: Qwen3 Coder 480B A35B is a language model provided by qwen. This model offers advanced capabilities for natural language processing tasks.
Provider
qwen
Specifications
| Spec | Value |
|---|---|
| Context Window | 262,144 tokens |
| Modalities | text->text |
| Input Modalities | text |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.22 per 1M tokens |
| Output | $0.95 per 1M tokens |
Capabilities
- Frequency penalty
- Logit bias
- Logprobs
- Max tokens
- Min p
- Presence penalty
- Reasoning
- Repetition penalty
- Response format
- Seed
- Stop
- Structured outputs
- Temperature
- Tool choice
- Tools
- Top k
- Top logprobs
- Top p
Detailed Analysis
Qwen3-Coder is the standard specialized coding model in the Qwen 3 series, optimized for code generation, completion, and understanding across 40+ programming languages. Released May 2025. Key characteristics: (1) Architecture: Specialized transformer (likely 14B-32B scale) fine-tuned on massive code datasets building upon Qwen2.5-Coder improvements; trained on Qwen 3 architecture with enhanced code understanding capabilities; (2) Performance: Leading open-source coding model breaking benchmarks on SWE-Bench Verified, CodeForces ELO, and LiveCodeBench v5; excels at competitive programming tasks, real-world code completion, code editing, and multi-language translation; (3) Language Support: Proficient in Python, JavaScript, TypeScript, Java, C++, Go, Rust, and 30+ additional languages with strong cross-language understanding; (4) Use Cases: Professional IDE integration, code completion and generation, bug fixing and code repair, code explanation and documentation, refactoring assistance, competitive programming, educational coding tools; (5) Context Window: 131K tokens supporting repository-level code understanding; (6) Trade-offs: More capable than Qwen2.5-Coder through Qwen 3 improvements. Best for professional development workflows requiring state-of-the-art code generation and understanding capabilities across diverse programming languages.