Qwen2.5-Coder Models by Alibaba
Last refreshed 2026-05-19. Next refresh: weekly.
Details
Capabilities
About
The Qwen 2.5 Coder family is a sophisticated language model family designed for programming tasks and general computational reasoning. Developed with scalability in mind, these models range from 0.5 billion to 32 billion parameters, supporting extensive contexts up to 128,000 tokens. They demonstrate proficiency across 92 programming languages and excel in tasks like code generation, repair, and multi-language programming challenges. Remarkably, the 7-billion parameter variant outperforms much larger models like DeepSeek-Coder-V2-Lite on specific benchmarks, illustrating its efficiency and innovation. The family includes both base and instruction-tuned models. The instruction-tuned "Coder-Instruct" models enhance performance on various tasks and showcase superior generalization. These models are rigorously benchmarked on datasets such as McEval for multi-language programming and CRUXEval for reasoning, yielding exceptional results in code inference and mathematical tasks. The integration of diverse datasets maintains strong general capabilities, ensuring these models are versatile across technical and non-technical domains. Qwen 2.5 Coder is open-sourced under the Apache 2.0 license, encouraging community experimentation and deployment.
Decision facts
- Best fit
- codingcodestructured outputs
- Capability starting point
- Qwen2.5-Coder-32B with 128k context and structured outputs
- Lowest tracked input
- Qwen2.5-Coder-1.5B-Instruct · $0.1/1M · Fireworks AI
- Closest related family
- Tongyi DeepResearch
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs code, 128k context, and 14B parameters.
Use when the workload needs code, 128k context, and 14B parameters.
Use when the workload needs code, 128k context, and 32B parameters.
Use when the workload needs code, 128k context, and 32B parameters.
Use when the workload needs code, 32k context, and 3B parameters.
Use when the workload needs code, 32k context, and 3B parameters.
Use when the workload needs code, 32k context, and 500M parameters.
Use when the workload needs code, 32k context, and 500M parameters.
Use when the workload needs code, 32k context, and 1.5B parameters.
Use when the workload needs code, 32k context, and 1.5B parameters.
Use when the workload needs code, 128k context, and 7.6B parameters.
Use when the workload needs code, 128k context, and 7.6B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Qwen2.5-Coder-14B | Use when the workload needs code, 128k context, and 14B parameters. | 2024-11 | code128k context14B parameters | Current |
| Qwen2.5-Coder-14B-Instruct | Use when the workload needs code, 128k context, and 14B parameters. | 2024-11 | code128k context14B parameters | Current |
| Qwen2.5-Coder-32B | Use when the workload needs code, 128k context, and 32B parameters. | 2024-11 | code128k context32B parameters | Current |
| Qwen2.5-Coder-32B-Instruct | Use when the workload needs code, 128k context, and 32B parameters. | 2024-11 | code128k context32B parameters | Current |
| Qwen2.5-Coder-3B | Use when the workload needs code, 32k context, and 3B parameters. | 2024-11 | code32k context3B parameters | Current |
| Qwen2.5-Coder-3B-Instruct | Use when the workload needs code, 32k context, and 3B parameters. | 2024-11 | code32k context3B parameters | Current |
| Qwen2.5-Coder-0.5B | Use when the workload needs code, 32k context, and 500M parameters. | 2024-11 | code32k context500M parameters | Current |
| Qwen2.5-Coder-0.5B-Instruct | Use when the workload needs code, 32k context, and 500M parameters. | 2024-11 | code32k context500M parameters | Current |
| Qwen2.5-Coder-1.5B | Use when the workload needs code, 32k context, and 1.5B parameters. | 2024-09 | code32k context1.5B parameters | Current |
| Qwen2.5-Coder-1.5B-Instruct | Use when the workload needs code, 32k context, and 1.5B parameters. | 2024-09 | code32k context1.5B parameters | Current |
| Qwen2.5-Coder-7B | Use when the workload needs code, 128k context, and 7.6B parameters. | 2024-09 | code128k context7.6B parameters | Current |
| Qwen2.5-Coder-7B-Instruct | Use when the workload needs code, 128k context, and 7.6B parameters. | 2024-09 | code128k context7.6B parameters | Current |
Release Timeline
2 release groupsSpecifications(12 models)
| Model | Released | Context | Parameters | Structured Outputs | Code Exec |
|---|---|---|---|---|---|
| Qwen2.5-Coder-14B | 2024-11 | 128k | 14B | No | No |
| Qwen2.5-Coder-14B-Instruct | 2024-11 | 128k | 14B | No | No |
| Qwen2.5-Coder-32B | 2024-11 | 128k | 32B | Yes | Yes |
| Qwen2.5-Coder-32B-Instruct | 2024-11 | 128k | 32B | Yes | Yes |
| Qwen2.5-Coder-3B | 2024-11 | 32k | 3B | No | No |
| Qwen2.5-Coder-3B-Instruct | 2024-11 | 32k | 3B | No | No |
| Qwen2.5-Coder-0.5B | 2024-11 | 32k | 0.5B | No | No |
| Qwen2.5-Coder-0.5B-Instruct | 2024-11 | 32k | 0.5B | No | No |
| Qwen2.5-Coder-1.5B | 2024-09 | 32k | 1.54B | No | No |
| Qwen2.5-Coder-1.5B-Instruct | 2024-09 | 32k | 1.54B | No | No |
| Qwen2.5-Coder-7B | 2024-09 | 128k | 7.61B | No | No |
| Qwen2.5-Coder-7B-Instruct | 2024-09 | 128k | 7.61B | Yes | No |
Available From(7 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Qwen2.5-Coder-1.5B-Instruct | Fireworks AI | $0.1 | $0.1 | Serverless |
| Qwen2.5-Coder-3B-Instruct | Fireworks AI | $0.1 | $0.1 | Serverless |
| Qwen2.5-Coder-32B-Instruct | SiliconFlow | $0.18 | $0.18 | Serverless |
| Qwen2.5-Coder-32B | DeepInfra | $0.2 | $0.2 | Serverless |
| Qwen2.5-Coder-14B-Instruct | Fireworks AI | $0.2 | $0.2 | Serverless |
| Qwen2.5-Coder-7B-Instruct | Fireworks AI | $0.2 | $0.2 | Serverless |
| Qwen2.5-Coder-32B-Instruct | Arcee AI | $0.4 | $1.2 | Serverless |
| Qwen2.5-Coder-32B-Instruct | Cloudflare Workers AI | $0.66 | $1 | Serverless |
| Qwen2.5-Coder-32B-Instruct | OpenRouter | $0.66 | $1 | Serverless |
| Qwen2.5-Coder-32B-Instruct | Fireworks AI | $0.9 | $0.9 | Serverless |
| Qwen2.5-Coder-32B | Fireworks AI | $0.9 | $0.9 | Serverless |
Popular comparisons in this family
Related Model Families
Models(12)
Qwen2.5-Coder-14B
Qwen2.5-Coder-14B-Instruct
Qwen2.5-Coder-32B
Qwen2.5-Coder-32B-Instruct
Qwen2.5-Coder-3B
Qwen2.5-Coder-3B-Instruct
Qwen2.5-Coder-0.5B
Qwen2.5-Coder-0.5B-Instruct
Qwen2.5-Coder-1.5B
Qwen2.5-Coder-1.5B-Instruct
Qwen2.5-Coder-7B
Qwen2.5-Coder-7B-Instruct