qwen3.5-4b (none): benchmark scores, price and ranking

qwen3.5-4b (none) from Alibaba ranks #252 of 743 LLMs on the LLMs Tiger aggregate benchmark score (49.6), based on 1 benchmark results captured up to 2026-10-13.

Organisation: Alibaba
Type: Open-weight / local model
Open weights: Yes
Released: 2026-02-24 (source: epoch)
Aggregate rank: #252 of 743 (score 49.6)

Across the 1 benchmark where at least ten models are scored, qwen3.5-4b (none) is in the top 10% on 0 and in the top half on 0.

qwen3.5-4b (none) benchmark results

qwen3.5-4b (none) benchmark scores, ranked against all models measured on each benchmark
Benchmark	Score	Rank	Source	Captured
OTIS Mock AIME	55.8%	#98 of 189	Epoch AI Benchmarking Hub	2026-10-13

About qwen3.5-4b (none)

qwen3.5-4b (none) is an open-weight model that can run on your own hardware from Alibaba. It was released on 2026-02-24, according to Epoch AI. No API price is listed for it yet. We hold 1 benchmark result for it across 1 area, and none is in the top tenth of its board.

Where qwen3.5-4b (none) stands

On our aggregate score, qwen3.5-4b (none) is #252 of 743 ranked models, around the middle of the table. Its score is 49.6; the scale is centred on 50, so it sits 0.4 points below the typical model. That beats 66% of the ranked field. Among the 74 ranked Alibaba models it is #21. The next one up is ollama/qwen2.5:32b-instruct-q8_0 at 49.6. The next one down is Qwen3.5 Plus at 49.6.

qwen3.5-4b (none), benchmark by benchmark

qwen3.5-4b (none) lands below the middle on OTIS Mock AIME: 55.8%, #98 of 189, with 51% of the field scoring higher. Claude Fable 5.1 (max) leads at 100.0%; the closest result above is qwen3-8b at 56.1%. It covers competition maths (AIME 2024-25 style). The board median is 57.8%, so qwen3.5-4b (none) is 1.9 points below it. Source: Epoch AI Benchmarking Hub, captured 2026-10-13.

Release history

The Alibaba model released before it was qwen3.5-35b-a3b on 2026-02-24, which scores 48.2. The next one was Qwen3.5 9B on 2026-02-24, at 44.9.

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

#249 grok-4.20-0309-reasoning (49.6)
#250 Grok-2 (49.6)
#251 ollama/qwen2.5:32b-instruct-q8_0 (49.6)
#253 Qwen3.5 Plus (49.6)
#254 Mistral-Large-Instruct-2411 (49.6)
#255 DeepSeek v4 Flash (max) (49.6)