Qwen2-1.5B-Instruct: benchmark scores, price and ranking

Qwen2-1.5B-Instruct from Qwen ranks #675 of 743 LLMs on the LLMs Tiger aggregate benchmark score (43.4), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Qwen
Type: Open-weight / local model
Open weights: Yes
Cheapest API price: $0.020 in / $0.020 out per million tokens (via together_ai, observed 2026-10-13T20:47Z)
Aggregate rank: #675 of 743 (score 43.4)

Across the 1 benchmark where at least ten models are scored, Qwen2-1.5B-Instruct is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.020 per million tokens, is lower than that of 97% of the 427 models with a listed price.

Qwen2-1.5B-Instruct benchmark results

Qwen2-1.5B-Instruct benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
MMLU-Pro	22.6%	#125 of 136	HuggingFace MMLU-Pro leaderboard	2026-10-13

About Qwen2-1.5B-Instruct

Qwen2-1.5B-Instruct is an open-weight model that can run on your own hardware from Qwen. The cheapest API listing we track charges $0.020 per million input tokens and $0.020 per million output tokens, through together_ai. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where Qwen2-1.5B-Instruct stands

On our aggregate score, Qwen2-1.5B-Instruct is #675 of 743 ranked models, in the lower half. Its score is 43.4; the scale is centred on 50, so it sits 6.6 points below the typical model. That beats 9% of the ranked field. Among the 23 ranked Qwen models it is #20. The next one up is Qwen2-7B at 43.9. The next one down is Qwen2-1.5B at 43.4.

Qwen2-1.5B-Instruct, benchmark by benchmark

MMLU-Pro is a weak spot. Qwen2-1.5B-Instruct scores 22.6%, #125 of 136, behind 91% 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 Qwen2-1.5B-Instruct is 32.6 points below it. Source: HuggingFace MMLU-Pro leaderboard, captured 2026-10-13.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so Qwen2-1.5B-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 qwen3-8b ($0.040) and Llama-3.2-3B ($0.040).

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

#672 llemma_7b (43.6)
#673 Mixtral-8x22B-Instruct-v0.1 (43.5)
#674 Mistral Medium 3.5 (43.5)
#676 Qwen2-1.5B (43.4)
#677 grok-2-1212 (43.4)
#678 qwen3-8b (43.4)