Qwen2.5-0.5B: benchmark scores, price and ranking
Qwen2.5-0.5B from Qwen ranks #706 of 743 LLMs on the LLMs Tiger aggregate benchmark score (42.4), based on 1 benchmark results captured up to 2026-10-13.
- Organisation
- Qwen
- Type
- Open-weight / local model
- Open weights
- Yes
- Aggregate rank
- #706 of 743 (score 42.4)
Across the 1 benchmark where at least ten models are scored, Qwen2.5-0.5B is in the top 10% on 0 and in the top half on 0.
Qwen2.5-0.5B benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| MMLU-Pro | 14.9% | #132 of 136 | HuggingFace MMLU-Pro leaderboard | 2026-10-13 |
About Qwen2.5-0.5B
Qwen2.5-0.5B is an open-weight model that can run on your own hardware from Qwen. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.
Where Qwen2.5-0.5B stands
On our aggregate score, Qwen2.5-0.5B is #706 of 743 ranked models, in the lower half. Its score is 42.4; the scale is centred on 50, so it sits 7.6 points below the typical model. That beats 5% of the ranked field. Among the 23 ranked Qwen models it is #23. The next one up is Qwen2-0.5B at 42.4.
Qwen2.5-0.5B, benchmark by benchmark
MMLU-Pro is a weak spot. Qwen2.5-0.5B scores 14.9%, #132 of 136, behind 96% of the models measured. The leader, Darwin-180B-RSI, reaches 88.1%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Qwen2.5-0.5B is 40.3 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.
Reading these numbers
The 1 score on this page comes from 1 source: HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 1 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #703 ministral-8b-2410 (42.6)
- #704 Meta-Llama-3-70B-Instruct (42.5)
- #705 Qwen2-0.5B (42.4)
- #707 gemma-3-1b-it (42.4)
- #708 GPT-4o (Nov 2024) (42.3)
- #709 GPT-4o (Aug 2024) (42.2)
More from Qwen
- Qwen3.5-122B-A10B (#46, 53.0)
- Qwen3-Coder-30B-A3B-Instruct (#53, 52.7)
- Qwen3.8-2.4T-A95B (#79, 52.1)
- Qwen3.8-Flash-Next (#96, 51.8)
- Qwen3-4B-Thinking-2507 (#276, 49.3)
- TTS(Bo8) (#295, 49.1)
Compare it on the live leaderboard → · How the aggregate score works