[whatmodel.sh](../../README.md) / Qwen3.6 Flash # Qwen3.6 Flash Alibaba · released 2026-04 · closed weights **score 65.3** ±1.2 · #140 of 732 · from 7 benchmark results across 2 sources Score within the [LMArena (text)](https://whatmodel.sh/?set=lmarena-text&score=set) comparison set only. ## What it's good at ● marks Qwen3.6 Flash among every model on that task or test, worst to best. 
task                vs the others          rank  counts  tests
math                ▁▁▃▅█▆▄●▄▂▁▁   #146 of 431*     60%      2
vision & documents  ▁▁▂▂▁▃▄▂▆▇●▄    #33 of 153*    1.3%      1
math · #146 of 431 · 60% of its score Beats [Claude Sonnet 4.6](claude-sonnet-4-6.md), [MiMo-V2.5 (310B-A15B)](mimo-v2-5.md), [MiniMax-M2.7](minimax-m2-7.md) here, though they rank higher overall. Trails [Olmo 3 32B Think](olmo-3-32b-think.md), [Nemotron-Cascade-8B](nemotron-cascade-8b.md), [Olmo 3.1 32B Think](olmo-3-1-32b-think.md) here, though they rank lower overall. 
test                       result  vs the others in its run    difficulty            counts  why
FrontierMath tiers 1–3 v2   17.2%  ▂··▁▁●▄▄█▆▄▃ beats 9/86     very hard · avg 1.2%     51%  sharp
OTIS mock AIME 2024–2025    84.4%  ▃▃▄▃▃▃▇●█▃▂▅ beats 124/197  very hard · avg 7.2%     10%  sharp · at its level · noisy
vision & documents · #33 of 153 · 1.3% of its score Beats [Claude Sonnet 5.5](claude-sonnet-5-5.md), [GPT-6 Sol](gpt-6-sol.md), [MiMo-V2.6-Pro](mimo-v2-6-pro.md) here, though they rank higher overall. 
test                                result  vs the others in its run  difficulty           counts  why
SpaceCast-Bench predictive spatia…   47.7%  ▃·▅▃▅▃··●··█ beats 8/11   very hard · avg 33%    1.3%  noisy
other tests (4) 
test                          result  vs the others in its run    difficulty            counts  why
GPQA Diamond                   83.3%  ▁▁▁▁▂▄▆▄▅●█▅ beats 136/211  hard · avg 39%           22%  sharp · at its level
Mystery Game Puzzles (Epoch)   12.0%  █··●▃▇▄█▂▄▂▁ beats 18/77    very hard · avg 9.4%    5.5%  sharp · too hard for it · noisy
Chess Puzzles (Epoch)          20.0%  █▁▁▁▁▂●▃▃▂▁▁ beats 79/137   very hard · avg 5.8%    5.5%  sharp · noisy
SimpleQA Verified              15.9%  ▁▁▃●▃▃▆▆█▄▂▅ beats 9/81     very hard · avg 8.0%    4.7%  at its level
## 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                                        6   98% ▇▇▇▇▇▇▇▇▇▇▇▇
SpaceCast-Bench: Evaluating Predictive …        1    1% ▇
prior: pull toward the middle                        1% ▇
weighted average                                   = 65.3
Licences: Epoch AI ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) · SpaceCast-Bench: Evaluating Predictive Spatial Reasoning in Vision-Language Models ([CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)) ## How to run it ### Through an API api (Alibaba Cloud Model Studio) · $0.56/M blended · $0.25 in / $1.5 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), qwen3.6-flash (currently equivalent to qwen3.6-flash-2026-04-16), 0\ [interactive version](https://whatmodel.sh/model/qwen3-6-flash) · [JSON](https://whatmodel.sh/api?format=json&all=1)