qwq-plus: benchmark scores, price and ranking

qwq-plus from Alibaba ranks #279 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.3), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Alibaba
Type: Frontier model
Open weights: No
Released: 2025-04-08 (source: epoch)
Cheapest API price: $0.800 in / $2.40 out per million tokens (via dashscope, observed 2026-10-13T20:47Z)
Aggregate rank: #279 of 743 (score 49.3)

Across the 1 benchmark where at least ten models are scored, qwq-plus is in the top 10% on 0 and in the top half on 0.

Its cheapest listed input price, $0.800 per million tokens, is lower than that of 38% of the 427 models with a listed price.

qwq-plus benchmark results

qwq-plus benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
GPQA Diamond	65.4%	#158 of 275	Epoch AI Benchmarking Hub	2026-10-13

About qwq-plus

qwq-plus is a frontier model from Alibaba. It was released on 2025-04-08, according to Epoch AI. The cheapest API listing we track charges $0.800 per million input tokens and $2.40 per million output tokens, through dashscope. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where qwq-plus stands

On our aggregate score, qwq-plus is #279 of 743 ranked models, around the middle of the table. Its score is 49.3; the scale is centred on 50, so it sits 0.7 points below the typical model. That beats 62% of the ranked field. Among the 74 ranked Alibaba models it is #27. The next one up is Qwen3-235B-A22B-Instruct-2507 at 49.3. The next one down is parasail-qwen3-235b-a22b-instruct-2507 at 49.0.

qwq-plus, benchmark by benchmark

qwq-plus lands below the middle on GPQA Diamond: 65.4%, #158 of 275, with 57% of the field scoring higher. GPT-6 Astra (max) leads at 95.8%; the closest result above is Gemini 2.0 Pro Exp (Feb 2025) at 65.7%. It covers expert-level science questions. The board median is 71.7%, so qwq-plus is 6.3 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 qwq-plus costs more 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 Llama-3.1-Nemotron-70B-Instruct-HF ($0.880) and Inkling (xhigh) ($0.950).

Release history

The Alibaba model released before it was QwQ-32B on 2025-03-06, which scores 49.7. The next one was qwen-plus-2025-04-28 on 2025-04-28, at 48.9.

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

#276 Qwen3-4B-Thinking-2507 (49.3)
#277 Qwen3.5 27B (49.3)
#278 Qwen3-235B-A22B-Instruct-2507 (49.3)
#280 Mistral-Large-Instruct-2407 (49.3)
#281 gemini-2.5-flash-preview-05-20_16K (49.3)
#282 Claude 3.5 Sonnet (49.2)