Qwen3.6 27B
Qwen3.6 27BAlternatives?
CheaperGPT-6.1 Solxhigh+14%-37%$0.39Remove unsupported parameters+5BetterGPT-6 Lunamedium+4%-97%$0.017Function calling only with none · Chat Completions+3OpenQwen3.8 27Bxhigh+2%+62%$1.01max_tokens range · QwenCloud+4
CheaperClaude Opus 5.5low+13%-11%$0.55No forced tool use+5CheaperGPT-6 Solxhigh+11%-16%$0.52GPT-6.1 Solxhigh+14%-37%$0.39Remove unsupported parameters+5Claude Opus 5.5low+13%-11%$0.55No forced tool use+5GPT-6 Solxhigh+11%-16%$0.52GPT-5.6 Solmedium+9%-19%$0.50
DeepSeek V4.1 Flash 1017maxOpen+8%-58%$0.26Memory (4-bit): 17 GB → 458 GB+5GPT-6 Lunamedium+4%-97%$0.017Function calling only with none · Chat Completions+3GPT-5.6 Lunahigh+4%-93%$0.044GPT-6.1 Sollow+11%-79%$0.13Remove unsupported parameters+5GPT-6 Sollow+7%-79%$0.13GPT-5.6 Terramedium+3%-70%$0.18Prompts with >272K input tokensQwen3.8 27BxhighOpen+2%+62%$1.01max_tokens range · QwenCloud+4Qwen 3.5 27BthinkingOpensame-39%$0.30 / $2.40Qwen3.6 35B A3BthinkingOpensame-24%$0.48Memory (4-bit): 17 GB → 22 GB
Muse Glimmer 30BhighOpensame-91%$0.058Context: 262K → 131K+1
Gemma 4 31BthinkingOpen-2%-88%$0.10 / $0.34Context: 262K → 256K+1Qwen3.8 Max (0902)thinking+11%+771%$5.41Qwen3.7 Plusthinking+8%-65%$0.22Qwen3.8 FlashthinkingOpen+7%-40%$0.37Memory (4-bit): 17 GB → 108 GB+6Qwen3.6 Plusthinking+4%—$0.50 / $3Qwen3.5 397B A17BthinkingOpen+4%-24%$0.47Memory (4-bit): 17 GB → 242 GBQwen3.6 35B A3BthinkingOpensame-24%$0.48Memory (4-bit): 17 GB → 22 GBQwen 3.5 27BthinkingOpensame—$0.30 / $2.40Qwen 3.5 122B A10BthinkingOpensame-48%$0.32Memory (4-bit): 17 GB → 75 GBAll Alibaba (Qwen) models →Run it yourself
estimateHistory
3 versionsFAQ
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 MMMU-Pro (vision), Qwen3.6 27B scores 74.6 vs 75 — 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-6 Luna (better), Qwen3.8 27B (open weights).