Qwen2.5-7B: benchmark scores, price and ranking

Qwen2.5-7B from Alibaba ranks #517 of 743 LLMs on the LLMs Tiger aggregate benchmark score (46.5), based on 2 benchmark results captured up to 2026-10-13.

Organisation: Alibaba
Type: Open-weight / local model
Open weights: Yes
Released: 2024-09-19 (source: epoch)
Aggregate rank: #517 of 743 (score 46.5)

Across the 2 benchmarks where at least ten models are scored, Qwen2.5-7B is in the top 10% on 0 and in the top half on 0.

Qwen2.5-7B benchmark results

Qwen2.5-7B benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MMLU-Pro	45.0%	#88 of 136	HuggingFace MMLU-Pro leaderboard	2026-10-13
Epoch ECI	119	#134 of 204	Epoch AI Benchmarking Hub	2026-10-13

About Qwen2.5-7B

Qwen2.5-7B is an open-weight model that can run on your own hardware from Alibaba. It was released on 2024-09-19, according to Epoch AI. No API price is listed for it yet. We hold 2 benchmark results for it across 2 areas, and none is in the top tenth of its board.

Where Qwen2.5-7B stands

On our aggregate score, Qwen2.5-7B is #517 of 743 ranked models, in the lower half. Its score is 46.5; the scale is centred on 50, so it sits 3.5 points below the typical model. That beats 30% of the ranked field. Among the 74 ranked Alibaba models it is #52. The next one up is Qwen2-VL-7B-Instruct at 46.5. The next one down is qwen3-1.7b at 46.5.

Qwen2.5-7B, benchmark by benchmark

Qwen2.5-7B lands below the middle on MMLU-Pro: 45.0%, #88 of 136, with 64% of the field scoring higher. Darwin-180B-RSI leads at 88.1%; the closest result above is Gemma 2 9B at 45.1%. It covers 57-subject knowledge + reasoning. The board median is 55.3%, so Qwen2.5-7B is 10.3 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.

Qwen2.5-7B lands below the middle on Epoch ECI: 119, #134 of 204, with 65% of the field scoring higher. Qwen 3.8 Max leads at 156; the closest result above is GPT-3.5 Turbo (Nov 2023) at 119. It covers Epoch Capabilities Index: Epoch's own aggregate of ~40 benchmarks. The board median is 127, so Qwen2.5-7B is 9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Qwen2.5-7B has too few results on boards with ten or more models to say where it is strong or weak. Treat any single score as a data point, not a verdict.

Release history

The Alibaba model released before it was qwen2.5-72b-instruct on 2024-09-19, which scores 42.2. The next one was qwen2.5-7b-instruct on 2024-09-19, at 39.9.

Reading these numbers

The 2 scores on this page come from 2 sources: Epoch AI Benchmarking Hub (1), HuggingFace MMLU-Pro leaderboard (1). No official leaderboard supplied any of them, so treat them as third-party measurements. With 2 results the aggregate rank can move a lot when one new score arrives.

Models ranked nearby

#514 Qwen2-VL-7B-Instruct (46.5)
#515 Gemma 2 9B (46.5)
#516 deepseek-chat (46.5)
#518 qwen3-1.7b (46.5)
#519 Qwen3.5 Flash (46.4)
#520 qwen-max-2025-01-25 (46.4)