qwen-plus-2025-04-28: benchmark scores, price and ranking

qwen-plus-2025-04-28 from Alibaba ranks #313 of 743 LLMs on the LLMs Tiger aggregate benchmark score (48.9), based on 2 benchmark results captured up to 2026-10-13.

Organisation: Alibaba
Type: Frontier model
Open weights: No
Released: 2025-04-28 (source: name)
Cheapest API price: $0.400 in / $1.20 out per million tokens (via dashscope, observed 2026-10-13T20:47Z)
Aggregate rank: #313 of 743 (score 48.9)

Across the 2 benchmarks where at least ten models are scored, qwen-plus-2025-04-28 is in the top 10% on 0 and in the top half on 1.

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-2025-04-28 benchmark results

qwen-plus-2025-04-28 benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
DTBench	81.1%	#49 of 146	Epoch AI Benchmarking Hub	2026-10-13
LMCA	24.0%	#66 of 108	Epoch AI Benchmarking Hub	2026-10-13

About qwen-plus-2025-04-28

qwen-plus-2025-04-28 is a frontier model from Alibaba. It was released on 2025-04-28, 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 2 areas, and none is in the top tenth of its board.

Where qwen-plus-2025-04-28 stands

On our aggregate score, qwen-plus-2025-04-28 is #313 of 743 ranked models, around the middle of the table. Its score is 48.9; the scale is centred on 50, so it sits 1.1 points below the typical model. That beats 58% of the ranked field. Among the 74 ranked Alibaba models it is #32. The next one up is ollama/qwen2.5:32b at 48.9. The next one down is Qwen3.7 Plus at 48.6.

qwen-plus-2025-04-28, benchmark by benchmark

DTBench puts qwen-plus-2025-04-28 at 81.1%, #49 of 146. That beats 66% of the models tested, but 17.9 points short of Claude Opus 5.5 (max) (98.9%). The results either side are DeepSeek-V3.1-Terminus (81.3%) and GPT-5 mini (high) (80.5%). It covers dynamic tool-use benchmark. The board median is 68.8%, so qwen-plus-2025-04-28 is 12.3 points above it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

qwen-plus-2025-04-28 lands below the middle on LMCA: 24.0%, #66 of 108, with 60% of the field scoring higher. Claude Opus 5.5 (max) leads at 68.2%; the closest result above is Qwen3.5 9B at 24.5%. It covers language-model capability assessment. The board median is 29.2%, so qwen-plus-2025-04-28 is 5.3 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Strengths and weaknesses

qwen-plus-2025-04-28 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.

Price and value

The median input price across the 427 priced models is $0.500 per million tokens, so qwen-plus-2025-04-28 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), DeepSeek V4 Flash 0731 (max) ($0.016, 53.1). Similar scores cost more on mimo-v2.5-pro ($0.435) and Inkling Small (xhigh) ($0.450).

Release history

The Alibaba model released before it was qwq-plus on 2025-04-08, which scores 49.3. The next one was qwen3-14b on 2025-04-28, at 45.6.

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

#310 ollama/qwen2.5:32b (48.9)
#311 Yi Coder 9B Chat (48.9)
#312 deepseek-v4-pro-high-20260813 (48.9)
#314 Inkling (xhigh) (48.9)
#315 grok-4.3 (high) (48.9)
#316 claude-opus-4-5-20251101-high-32k (48.9)