Qwen2-VL-72B-Instruct: benchmark scores, price and ranking

Qwen2-VL-72B-Instruct from Alibaba ranks #416 of 743 LLMs on the LLMs Tiger aggregate benchmark score (47.6), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Alibaba
Type: Open-weight / local model
Open weights: Yes
Released: 2024-08-29 (source: epoch)
Cheapest API price: $0.130 in / $0.400 out per million tokens (via nebius, observed 2026-10-13T20:47Z)
Aggregate rank: #416 of 743 (score 47.6)

Across the 1 benchmark where at least ten models are scored, Qwen2-VL-72B-Instruct is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.130 per million tokens, is lower than that of 76% of the 427 models with a listed price.

Qwen2-VL-72B-Instruct benchmark results

Qwen2-VL-72B-Instruct benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
BALROG	12.8%	#29 of 34	Epoch AI Benchmarking Hub	2026-10-13

About Qwen2-VL-72B-Instruct

Qwen2-VL-72B-Instruct is an open-weight model that can run on your own hardware from Alibaba. It was released on 2024-08-29, according to Epoch AI. The cheapest API listing we track charges $0.130 per million input tokens and $0.400 per million output tokens, through nebius. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Qwen2-VL-72B-Instruct stands

On our aggregate score, Qwen2-VL-72B-Instruct is #416 of 743 ranked models, around the middle of the table. Its score is 47.6; the scale is centred on 50, so it sits 2.4 points below the typical model. That beats 44% of the ranked field. Among the 74 ranked Alibaba models it is #42. The next one up is qwen3-235b-a22b at 47.9. The next one down is Qwen3-235b-a22b Instruct (25/07) at 47.5.

Qwen2-VL-72B-Instruct, benchmark by benchmark

BALROG is a weak spot. Qwen2-VL-72B-Instruct scores 12.8%, #29 of 34, behind 82% of the models measured. The leader, GPT-6 Astra (max), reaches 68.3%. It covers long-horizon game-playing agents. The board median is 27.6%, so Qwen2-VL-72B-Instruct is 14.8 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so Qwen2-VL-72B-Instruct costs less than the typical listing. Models that score within 1.5 points or better and cost less: Qwen2.5-Coder-7B-Instruct ($0.010, 49.5), DeepSeek V4.1 Flash (high) ($0.010, 48.9), Qwen2.5-Coder-3B-Instruct ($0.010, 46.5). Similar scores cost more on qwen3.5-35b-a3b ($0.140) and mimo-v2.5 ($0.140).

Release history

The Alibaba model released before it was qwen2-72b-instruct on 2024-06-07, which scores 43.9. The next one was Qwen2-VL-7B-Instruct on 2024-08-29, at 46.5.

Reading these numbers

The 1 score on this page comes from 1 source: Epoch AI Benchmarking Hub (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

#413 gemini-3.1-flash-lite (high) (47.7)
#414 ollama/codestral (47.6)
#415 Gemini 2.5 Flash (Preview) (Thinking 24K) (47.6)
#417 GPT-5.5 Instant (47.6)
#418 Qwen2.5-VL-72B-Instruct (47.6)
#419 GPT-5.1 (Thinking, Low) (47.5)