[whatmodel.sh](../../README.md) / Qwen3.5 Plus # Qwen3.5 Plus Alibaba · released 2026-02 · proprietary **score 67.9** ±1.6 · #100 of 732 · from 7 benchmark results across 3 sources Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at _{● marks Qwen3.5 Plus among every model on that task or test, worst to best.}

task         vs the others          rank  counts  tests
agent tasks  ▁▁▃▆█▄●▅▄▄▂▁   #114 of 313*     10%      1
coding       ▁▁▁▃▅▇█●▅▄▃▁   #146 of 469*     10%      1
math         ▁▁▃▅█▆▄●▄▂▁▁    #87 of 431*     13%      1

agent tasks · #114 of 313 · 10% of its score

Beats [Grok 4.20 (0309 reasoning)](grok-4-20.md), [o3-pro](o3-pro.md), [Grok 4.3](grok-4-3.md) here, though they rank higher overall. Trails [SmolLM3 3B](smollm3-3b.md), [Devstral 2 (2512)](devstral-2.md), [Nova 2 Pro (Preview)](nova-2-pro.md) here, though they rank lower overall.

test                                result  vs the others in its run  difficulty            counts  why
Vibe Code Bench (test split, 50 w…   15.7%  ▃··▃·▃●█▃▃▃█ beats 5/14   very hard · avg 2.8%     10%  sharp · noisy

coding · #146 of 469 · 10% of its score

Trails [Llama 3.1 Nemotron Ultra 253B v1](llama-3-1-nemotron-ultra-253b.md), [Devstral Small 2 24B](devstral-small-2.md), [Gemma 4 12B](gemma-4-12b.md) here, though they rank lower overall.

test                                result  vs the others in its run  difficulty            counts  why
Vibe Code Bench (test split, 50 w…   15.7%  ▃··▃·▃●█▃▃▃█ beats 5/14   very hard · avg 2.8%     10%  sharp · noisy

math · #87 of 431 · 13% of its score

Beats [Claude Sonnet 4.6](claude-sonnet-4-6.md), [Claude Opus 4.5](claude-opus-4-5.md), [Qwen3.5 397B-A17B](qwen3-5-397b-a17b.md) here, though they rank higher overall. Trails [Gemini 2.5 Flash](gemini-2-5-flash.md), [Granite 4.2 30B](granite-4-2-30b.md), [Qwen3-Next 80B-A3B Instruct](qwen3-next-80b-a3b-instruct.md) here, though they rank lower overall.

test                      result  vs the others in its run    difficulty            counts  why
OTIS mock AIME 2024–2025   86.7%  ▃▃▄▃▃▃▇▇●▃▂▅ beats 129/197  very hard · avg 7.2%     13%  sharp · noisy

other tests (5)

test                                result  vs the others in its run    difficulty            counts  why
GPQA Diamond                         84.8%  ▁▁▁▁▂▄▆▄▅●█▅ beats 144/211  hard · avg 39%           35%  sharp
Mystery Game Puzzles (Epoch)         16.0%  █··▂●▇▄█▂▄▂▁ beats 23/77    very hard · avg 9.4%     17%  sharp · too hard for it · noisy
Chess Puzzles (Epoch)                22.0%  █▁▁▁▁▂▃●▃▂▁▁ beats 88/137   very hard · avg 5.8%     14%  sharp · noisy
SimpleQA Verified                    25.4%  ▁▁▃▂▃●▆▆█▄▂▅ beats 16/81    very hard · avg 8.0%     10%  at its level
Vectara hallucination leaderboard…   89.3%  ▁▂▁▂▅●▂▃▄▃▁▁ beats 36/98    very easy · avg 90%     0.0%  blunt

## How the score was worked out Each result implies a score on its own, after adjusting for how hard that test is and who ran it. The model's score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its *counts* column above; here it is added up by who ran the tests. [Method](../method.md)

source                             results  share of the score
Epoch AI                                 5   89% ▇▇▇▇▇▇▇▇▇▇▇
Vibe Code Bench                          1   10% ▇
Vectara hallucination leaderboard        1    0% ▇
prior: pull toward the middle                 1% ▇
weighted average                            = 67.9

_{Licences: Epoch AI ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · Vibe Code Bench ([CC-BY-4.0](https://creativecommons.org/licenses/by/4.0/)) · Vectara hallucination leaderboard ([Apache-2.0](https://www.apache.org/licenses/LICENSE-2.0))} ## How to run it ### Through an API api (Alibaba Cloud Model Studio) · $0.90/M blended · $0.4 in / $2.4 out per 1M tokens · [alibabacloud.com](https://www.alibabacloud.com/help/en/model-studio/text-generation-model) _{[price source](https://www.alibabacloud.com/help/en/model-studio/model-pricing): USD per 1M tokens, Singapore (International), qwen3.5-plus (currently equivalent to qwen3.5-plus-2026-02-15), 0\

[interactive version](https://whatmodel.sh/model/qwen3-5-plus) · [JSON](https://whatmodel.sh/api?format=json&all=1)}