qwen-plus-2025-01-25: benchmark scores, price and ranking

qwen-plus-2025-01-25 from Alibaba ranks #563 of 743 LLMs on the LLMs Tiger aggregate benchmark score (45.7), based on 2 benchmark results captured up to 2026-10-13.

Organisation: Alibaba
Type: Frontier model
Open weights: No
Released: 2025-01-25 (source: name)
Cheapest API price: $0.400 in / $1.20 out per million tokens (via dashscope, observed 2026-10-13T20:47Z)
Aggregate rank: #563 of 743 (score 45.7)

Across the 2 benchmarks where at least ten models are scored, qwen-plus-2025-01-25 is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.400 per million tokens, is lower than that of 53% of the 427 models with a listed price.

qwen-plus-2025-01-25 benchmark results

qwen-plus-2025-01-25 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
OTIS Mock AIME	17.8%	#131 of 189	Epoch AI Benchmarking Hub	2026-10-13
GPQA Diamond	48.1%	#193 of 275	Epoch AI Benchmarking Hub	2026-10-13

About qwen-plus-2025-01-25

qwen-plus-2025-01-25 is a frontier model from Alibaba. It was released on 2025-01-25, according to the model's own name. The cheapest API listing we track charges $0.400 per million input tokens and $1.20 per million output tokens, through dashscope. We hold 2 benchmark results for it across 1 area, and none is in the top tenth of its board.

Where qwen-plus-2025-01-25 stands

On our aggregate score, qwen-plus-2025-01-25 is #563 of 743 ranked models, in the lower half. Its score is 45.7; the scale is centred on 50, so it sits 4.3 points below the typical model. That beats 24% of the ranked field. Among the 74 ranked Alibaba models it is #59. The next one up is qwen1.5-32b-chat at 45.7. The next one down is qwen3-14b at 45.6.

qwen-plus-2025-01-25, benchmark by benchmark

qwen-plus-2025-01-25 lands below the middle on OTIS Mock AIME: 17.8%, #131 of 189, with 69% of the field scoring higher. Claude Fable 5.1 (max) leads at 100.0%; the closest result above is Llama 4 Maverick (FP8) at 20.6%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so qwen-plus-2025-01-25 is 40.0 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

qwen-plus-2025-01-25 lands below the middle on GPQA Diamond: 48.1%, #193 of 275, with 70% of the field scoring higher. GPT-6 Astra (max) leads at 95.8%; the closest result above is GPT-4o (May 2024) at 48.9%. It covers expert-level science questions. The board median is 71.7%, so qwen-plus-2025-01-25 is 23.6 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

Reasoning, maths and science: uneven, ahead of 30% of the field on average across 2 benchmarks. Its best board here is OTIS Mock AIME (#131 of 189) and its weakest is GPQA Diamond (#193 of 275).

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so qwen-plus-2025-01-25 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 GLM-4.6 ($0.450) and WizardLM-2-8x22B ($0.480).

Release history

The Alibaba model released before it was qwen-max-2025-01-25 on 2025-01-25, which scores 46.4. The next one was QwQ-32B on 2025-03-06, at 49.7.

Reading these numbers

The 2 scores on this page come from 1 source: Epoch AI Benchmarking Hub (2). 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

#560 qwen1.5-32b-chat (45.7)
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#562 EXAONE-3.5-2.4B-Instruct (45.7)
#564 MiMo-V2-Flash (45.6)
#565 Llama 4 Scout Instruct (45.6)
#566 MiniMax-M3 (45.6)