Qwen3.6 27B
Qwen3.6 27BAlternatives?
CheaperGPT-6.1 Solxhigh×3.4-37%$0.39Remove unsupported parameters+5BetterGPT-6 Lunalow+79%-99%$0.005Function calling only with none · Chat Completions+3OpenQwen3.8 27Bxhigh×2.2+85%$1.15max_tokens range · QwenCloud+4
CheaperClaude Haiku 5.5max×3.3-66%$0.21Remove sampling parameters+5CheaperGPT-6 Solxhigh×3.1-16%$0.52GPT-6.1 Solxhigh×3.4-37%$0.39Remove unsupported parameters+5Claude Haiku 5.5max×3.3-66%$0.21Remove sampling parameters+5GPT-6 Solxhigh×3.1-16%$0.52GPT-5.5 Instant (June 2026)×3-8%$0.57
DeepSeek V4.1 Flash 1017maxOpen×2.5-58%$0.26Memory (4-bit): 17 GB → 458 GB+5GPT-6 Lunalow+79%-99%$0.005Function calling only with none · Chat Completions+3GPT-5.6 Lunalow+47%-98%$0.01Claude Haiku 5.5medium+53%-92%$0.047Remove sampling parameters+5
Muse Glimmer 30BhighOpen+89%-91%$0.058Context: 262K → 131K+1GPT-6.1 Sollow×2.5-79%$0.13Remove unsupported parameters+5Qwen3.8 27BxhighOpen×2.2+85%$1.15max_tokens range · QwenCloud+4Muse Glimmer 30BhighOpen+89%-91%$0.058Context: 262K → 131K+1
Ling 3.0 TinyOpensame——No image inputQwen3.6 35B A3BthinkingOpen-53%-24%$0.48Memory (4-bit): 17 GB → 22 GB
North Mini CodeOpen-58%——Context: 262K → 256K+2Qwen3.8 2.4T A95BthinkingOpen×2.9+247%$2.16Memory (4-bit): 17 GB → 1,468 GB+6Qwen3.8 FlashthinkingOpen+95%-40%$0.37Memory (4-bit): 17 GB → 108 GB+6Qwen3.8 Max (0902)thinking+89%+771%$5.41Qwen3.7 Maxthinking+37%+50%$0.93No image inputQwen3.7 Plusthinking-16%-65%$0.22Qwen3.5 397B A17BthinkingOpen-16%-24%$0.47Memory (4-bit): 17 GB → 242 GBQwen3 235B A22B Thinking 2507thinkingOpen-16%-87%$0.08Memory (4-bit): 17 GB → 141 GB+2Qwen 3.5 122B A10BthinkingOpen-26%-48%$0.32Memory (4-bit): 17 GB → 75 GBAll 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 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 Gemini 3.5 Flash Lite?›
On MLCR-AA, Qwen3.6 27B scores 10.6 vs 10.6 — about the same. It is 260% more expensive per task.
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-6 Luna (better), Qwen3.8 27B (open weights).