Qwen3.6 27B
Qwen3.6 27BRankingin thinking mode?
Alternatives?
CheaperMiniMax M3thinkingOpen+10%-18%$0.51Memory (4-bit): 17 GB → 256 GB+2
BetterGPT-5.6 Lunahigh+6%-93%$0.044OpenQwen3.8 27Bxhigh+7%+85%$1.15max_tokens range · QwenCloud+4CheaperGPT-5.6 Solmedium+10%-19%$0.50CheaperQwen3.8 FlashthinkingOpen+10%-40%$0.37Memory (4-bit): 17 GB → 108 GB+6MiniMax M3thinkingOpen+10%-18%$0.51Memory (4-bit): 17 GB → 256 GB+2GPT-5.6 Solmedium+10%-19%$0.50Qwen3.8 FlashthinkingOpen+10%-40%$0.37Memory (4-bit): 17 GB → 108 GB+6
GLM 5.3 FlashmaxOpen+8%-54%$0.28Memory (4-bit): 17 GB → 193 GB+5GPT-5.6 Lunamax+8%-71%$0.18GPT-5.6 Lunahigh+6%-93%$0.044
Hy3thinkingOpen+6%-88%$0.072Context: 262K → 256K+2TInkling SmallthinkingOpen+6%-86%$0.089Context: 262K → 256K+2MiniMax M2.7thinkingOpen+4%-83%$0.11Context: 262K → 205K+2
MiMo v2.5 ProthinkingOpen+3%-76%$0.15Memory (4-bit): 17 GB → 614 GB+1Qwen3.8 27BxhighOpen+7%+85%$1.15max_tokens range · QwenCloud+4Qwen 3.5 27BthinkingOpen+2%-39%$0.30 / $2.40
Gemma 4 31BthinkingOpen+2%-88%$0.10 / $0.34Context: 262K → 256K+1NNanbeige4.1 3BOpensame-91%$0.10 / $0.20Context: 262K → 256K+1Qwen 3.5 35B A3BthinkingOpensame-49%$0.25 / $2Memory (4-bit): 17 GB → 22 GBQwen3.8 2.4T A95BthinkingOpen+11%+247%$2.16Memory (4-bit): 17 GB → 1,468 GB+6Qwen3.8 Max (0902)thinking+10%+771%$5.41Qwen3.8 FlashthinkingOpen+10%-40%$0.37Memory (4-bit): 17 GB → 108 GB+6Qwen3.7 Maxthinking+10%+50%$0.93No image inputQwen3.7 Plusthinking+7%-65%$0.22Qwen3.5 397B A17BthinkingOpen+6%-24%$0.47Memory (4-bit): 17 GB → 242 GBQwen3.6 Max Previewthinking+5%—$1.30 / $7.80No image input+1Qwen3.6 Plusthinking+5%—$0.50 / $3All Alibaba (Qwen) models →Run it yourself
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How much does Qwen3.6 27B cost?›
$0.60 per 1M input tokens and $3.60 per 1M output tokens; cheapest via Reka at $0.20 / $2. A typical benchmark task costs about $0.62 at default effort.
Is Qwen3.6 27B free to use?›
There is no free API; the cheapest paid price is $0.20 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen3.6 27B, and what is it best at?›
#110 of 336 in Chat & Knowledge, #77 of 134 in Coding, #76 of 135 in Agents & Tool Use, #60 of 245 in Writing & Language, #54 of 125 in Vision & Documents. Strongest at: Tool calling, Long context, Instructions.
Is Qwen3.6 27B better than Qwen 3.5 27B?›
On GPQA Diamond, Qwen3.6 27B scores 84.2 vs 85.8 — lower.
How can I use Qwen3.6 27B?›
Through the API of Alibaba, Chutes, DeepInfra, Novita, Phala and 3 more.
What is the context window of Qwen3.6 27B?›
262K tokens, with up to 66K output tokens.
When was Qwen3.6 27B released? Is there a newer version?›
Released 2026-04-22. It has been superseded by Qwen3.8 27B.
Is Qwen3.6 27B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3.6 27B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3.6 27B read images?›
It accepts text and images, video as input.
What is Qwen3.6 27B?›
Qwen3.6 27B is an open-weights language model from Alibaba (Qwen), released Apr 2026, the successor to Qwen 3.5 27B.
What are the best alternatives to Qwen3.6 27B?›
MiniMax M3 (cheaper), GPT-5.6 Luna (better), Qwen3.8 27B (open weights).