Qwen 3.5 27B
Qwen 3.5 27BRankingin thinking mode?
Alternatives?
CheaperGLM 5.3 FlashunstatedOpenwins 63%-71%$0.15 / $0.50Memory (4-bit): 17 GB → 193 GB+5
BetterGPT-6 Lunamaxwins 53%-76%$0.068Function calling only with none · Chat Completions+3OpenQwen3.8 27Bunstatedwins 56%+16%$0.42 / $2.55max_tokens range · QwenCloud+4CheaperGPT-5.6 Lunaxhighwins 60%-45%$0.085CheaperQwen3.7 Plusunstatedwins 59%-32%$0.32 / $1.28GLM 5.3 FlashunstatedOpenwins 63%-71%$0.15 / $0.50Memory (4-bit): 17 GB → 193 GB+5GPT-5.6 Lunaxhighwins 60%-45%$0.085Qwen3.7 Plusunstatedwins 59%-32%$0.32 / $1.28
MiMo v2.5 ProunstatedOpenwins 59%-34%$0.43 / $0.87Memory (4-bit): 17 GB → 614 GB+1TInkling SmallunstatedOpenwins 58%-23%$0.45 / $1.20Context: 262K → 256K+2GPT-6 Lunamaxwins 53%-76%$0.068Function calling only with none · Chat Completions+3GPT-5.6 Lunaxhighwins 60%-45%$0.085GPT-5.6 Terraxhighwins 65%+445%$0.63Prompts with >272K input tokensGPT-6 Solmaxwins 53%+385%$1.04GPT-5.6 Solxhighwins 67%+870%$1.18Qwen3.8 27BunstatedOpenwins 56%+16%$0.42 / $2.55max_tokens range · QwenCloud+4Qwen3 30B A3B Instruct 2507unstatedOpensame-83%$0.09 / $0.30Memory (4-bit): 17 GB → 18 GB+1Qwen 3.5 35B A3BunstatedOpenwins 47%-17%$0.25 / $2Memory (4-bit): 17 GB → 22 GB
Llama Nemotron Super 49B v1.5unstatedOpenwins 43%-52%$0.40 / $0.40Context: 262K → 128K+2
Gemma 3 27BunstatedOpenwins 42%-88%$0.08 / $0.16Context: 262K → 131KQwen3.5 397B A17BunstatedOpenwins 62%—$0.60 / $3.60Memory (4-bit): 17 GB → 242 GBQwen3.7 Plusunstatedwins 59%—$0.32 / $1.28Qwen3 235B A22B Instruct 2507unstatedOpenwins 58%—$0.09 / $0.55Memory (4-bit): 17 GB → 141 GB+1Qwen3 Max (Preview)unstatedwins 57%—$0.87 / $3.48No image inputQwen3 Next 80B A3B InstructunstatedOpenwins 57%—$0.50 / $2Memory (4-bit): 17 GB → 49 GB+1Qwen3.6 Plusunstatedwins 56%—$0.50 / $3Qwen3.8 27BunstatedOpenwins 56%—$0.42 / $2.55max_tokens range · QwenCloud+4Qwen3 235B A22B Thinking 2507unstatedOpenwins 56%—$0.23 / $2.30Memory (4-bit): 17 GB → 141 GB+2All Alibaba (Qwen) models →Run it yourself
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3 versionsBenchmarks
all categoriesFAQ
How much does Qwen 3.5 27B cost?›
$0.30 per 1M input tokens and $2.40 per 1M output tokens; cheapest via lab-qwen at $0.086 / $0.69.
Is Qwen 3.5 27B free to use?›
There is no free API; the cheapest paid price is $0.086 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen 3.5 27B, and what is it best at?›
#104 of 336 in Chat & Knowledge, #79 of 97 in Coding, #26 of 242 in Agents & Tool Use, #92 of 197 in Writing & Language, #50 of 125 in Vision & Documents. Strongest at: Tool calling, Science, Long context, Instructions.
Is Qwen 3.5 27B better than GLM 4.5 Air?›
On Arena Text · Japanese, Qwen 3.5 27B scores 1,346.1 vs 1,348.1 — about the same.
How can I use Qwen 3.5 27B?›
Through the API of Alibaba, AtlasCloud, DeepInfra, Novita, Phala and 1 more.
What is the context window of Qwen 3.5 27B?›
262K tokens, with up to 66K output tokens.
When was Qwen 3.5 27B released? Is there a newer version?›
Released 2026-02-23. It has been superseded by Qwen3.6 27B.
Is Qwen 3.5 27B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen 3.5 27B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen 3.5 27B read images?›
It accepts text and images, video as input.
What is Qwen 3.5 27B?›
Qwen 3.5 27B is an open-weights language model from Alibaba (Qwen), released Feb 2026, the successor to Qwen3 VL 32B (Reasoning).
What are the best alternatives to Qwen 3.5 27B?›
GLM 5.3 Flash (cheaper), GPT-6 Luna (better), Qwen3.8 27B (open weights).