Qwen3.6 27B
Qwen3.6 27BAlternatives?
CheaperGPT-6.1 Solxhigh×2.3-37%$0.39Remove unsupported parameters+5BetterGPT-5.6 Lunamedium+12%-97%$0.016OpenQwen3.8 27Bxhigh+47%+62%$1.01max_tokens range · QwenCloud+4
CheaperMiMo v2.6 ProthinkingOpen×2.1-79%$0.13Memory (4-bit): 17 GB → 615 GB+4
CheaperClaude Opus 5.5low×2.1-11%$0.55No forced tool use+5GPT-6.1 Solxhigh×2.3-37%$0.39Remove unsupported parameters+5MiMo v2.6 ProthinkingOpen×2.1-79%$0.13Memory (4-bit): 17 GB → 615 GB+4Claude Opus 5.5low×2.1-11%$0.55No forced tool use+5
MiniMax M3.1 Flashthinking×2.1-65%$0.22Complete model response must be appendedGPT-6 Solxhigh×2-16%$0.52GPT-5.6 Lunamedium+12%-97%$0.016GPT-6 Lunamedium+22%-97%$0.017Function calling only with none · Chat Completions+3MiMo v2.5thinkingOpen+18%-97%$0.019Memory (4-bit): 17 GB → 186 GBClaude Haiku 5.5low+17%-96%$0.024Remove sampling parameters+5MiMo v2.5 ProthinkingOpen+55%-91%$0.054Memory (4-bit): 17 GB → 614 GB+1Qwen3.8 27BxhighOpen+47%+62%$1.01max_tokens range · QwenCloud+4Qwen 3.5 27BthinkingOpensame-39%$0.30 / $2.40
Gemma 4 31BthinkingOpensame-88%$0.10 / $0.34Context: 262K → 256K+1IK2 Horizon MoVA 36B A4BthinkingOpensame+30%$1 / $4Memory (4-bit): 17 GB → 22 GB+1Qwen3.6 35B A3BthinkingOpensame-24%$0.48Memory (4-bit): 17 GB → 22 GBQwen3.8 Max (0902)thinking+87%+771%$5.41Qwen3.8 2.4T A95BthinkingOpen+84%+247%$2.16Memory (4-bit): 17 GB → 1,468 GB+6Qwen3.7 Maxthinking+76%+85%$1.15No image inputQwen3.8 FlashthinkingOpen+65%-40%$0.37Memory (4-bit): 17 GB → 108 GB+6Qwen3.7 Plusthinking+54%-65%$0.22Qwen3.6 Max Previewthinking+34%—$1.30 / $7.80No image input+1Qwen3.5 397B A17BthinkingOpen+26%-24%$0.47Memory (4-bit): 17 GB → 242 GBQwen3 Max Thinkingthinking+21%—$1.20 / $6Context: 262K → 256K+1All Alibaba (Qwen) models →Run it yourself
estimateHistory
3 versionsBenchmarks
in Chat & KnowledgeFAQ
How much does Qwen3.6 27B cost?›
$0.60 per 1M input tokens and $3.60 per 1M output tokens; cheapest via Chutes at $0.25 / $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 $0.25 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?›
#108 of 334 in Chat & Knowledge, #75 of 132 in Coding, #74 of 133 in Agents & Tool Use, #60 of 245 in Writing & Language, #53 of 124 in Vision & Documents. Strongest at: Tool calling, Instructions.
Is Qwen3.6 27B better than Qwen 3.5 27B?›
On Humanity's Last Exam, Qwen3.6 27B scores 23.1 vs 23.9 — about the same.
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?›
GPT-6.1 Sol (cheaper), GPT-5.6 Luna (better), Qwen3.8 27B (open weights).