Qwen text generation model. 855K downloads on HuggingFace.
Tested on 6 benchmarks · BenchGecko score 38.5. Top scores: GSM8K (65.8%), HellaSwag (49.1%), MMLU (38.1%).
Code editing benchmark from the Aider project. Measures ability to apply targeted code changes while maintaining correctness and style.
Grade school math word problems. 8,500 problems testing multi-step arithmetic reasoning. A foundational math benchmark.
Sentence completion requiring commonsense reasoning about physical and social situations. Tests real-world understanding.
Massive Multitask Language Understanding. 57 subjects from STEM, humanities, and social sciences. The most widely-cited knowledge benchmark.
AI2 Reasoning Challenge. Grade-school science questions requiring multi-step reasoning. Easy and Challenge sets test different difficulty levels.
- Typetext-generation
- ContextN/A
- ReleasedSep 2024
- LicenseOpen Source
- StatusActive
Frequently Asked Questions
Key facts · as of 2026-04-09
- Qwen2.5 Coder 1.5B Instruct by Alibaba. BenchGecko score 38.5, rank 203 of 312 scored models (normalized average of public benchmark scores).
- List price n/a input · n/a output per 1M tokens (as of 2026-04-09).
How to cite · data as of 2026-04-09
Qwen2.5 Coder 1.5B Instruct · benchmarks, pricing and providers. BenchGecko, data as of 2026-04-09. https://benchgecko.ai/model/qwen-qwen25-coder-15b-instruct
Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP