Qwen2.5 7B is the latest series of Qwen large language models. Qwen2.5 brings the following improvements upon Qwen2: - Significantly more knowledge and has greatly improved capabilities in coding and...
Tested on 13 benchmarks · BenchGecko score 34.8. Top scores: IFEval (75.8%), MMLU (63.9%), MATH Level 5 (50.0%).
Gemma 3 27B (free) scores 35.1 (101% as good) at $0.00/1M input · 100% cheaper
HuggingFace MuSR (Multi-Step Reasoning). Tests multi-hop reasoning requiring chaining multiple facts together.
HuggingFace evaluation of MATH Level 5 problems. Competition math requiring advanced reasoning and proof construction.
Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.
Massive Multitask Language Understanding. 57 subjects from STEM, humanities, and social sciences. The most widely-cited knowledge benchmark.
HuggingFace MMLU-Pro. Harder version of MMLU with 10 answer choices instead of 4 and more challenging questions.
Graduate-level science questions written by PhD experts. Diamond subset contains questions where experts disagree, testing deep understanding.
- Typetext
- Context33K tokens (~16 books)
- ReleasedOct 2024
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000
Frequently Asked Questions
Key facts · as of 2026-10-05
- Qwen2.5 7B Instruct by Alibaba Qwen. BenchGecko score 34.8, rank 227 of 312 scored models (normalized average of public benchmark scores).
- List price $0.10 input · $0.20 output per 1M tokens (as of 2026-10-05).
- Sold by 1 provider (as of 2026-10-05): Phala $0.10 in / $0.20 out.
How to cite · data as of 2026-10-05
Qwen2.5 7B Instruct · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/qwen-2-5-7b-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