Qwen3.6 35B A3B
Qwen3.6 35B A3BAlternatives?
CheaperGPT-6.1 Solxhigh+54-17%$0.39Remove unsupported parameters+5BetterGPT-6 Lunamedium+2.5-96%$0.017Function calling only with none · Chat Completions+3OpenQwen3.8 27Bxhigh+5.6+112%$1.01max_tokens range · QwenCloud+4
CheaperMiMo v2.6 ProthinkingOpen+34.8-72%$0.13Memory (4-bit): 22 GB → 615 GB+4
CheaperDeepSeek V4.1 Flash 1017maxOpen+33.8-45%$0.26Memory (4-bit): 22 GB → 458 GB+5GPT-6.1 Solxhigh+54-17%$0.39Remove unsupported parameters+5MiMo v2.6 ProthinkingOpen+34.8-72%$0.13Memory (4-bit): 22 GB → 615 GB+4DeepSeek V4.1 Flash 1017maxOpen+33.8-45%$0.26Memory (4-bit): 22 GB → 458 GB+5
Claude Haiku 5.5max+32.8-55%$0.21Remove sampling parameters+5
GLM 5.3 FlashmaxOpen+32.8-40%$0.28Memory (4-bit): 22 GB → 193 GB+5GPT-6 Lunamedium+2.5-96%$0.017Function calling only with none · Chat Completions+3Claude Haiku 5.5low+12.6-95%$0.024Remove sampling parameters+5GPT-5.6 Lunahigh+2.5-91%$0.044MiMo v2.6 FlashthinkingOpen+22.7-87%$0.062Memory (4-bit): 22 GB → 186 GB+4GPT-6.1 Sollow+30.8-72%$0.13Remove unsupported parameters+5Qwen3.8 27BxhighOpen+5.6+112%$1.01max_tokens range · QwenCloud+4IK2 Horizon 7BthinkingOpen+1-6%$0.30 / $1.20No image input
North Mini CodeOpensame——Context: 262K → 256K+1
Muse Glimmer 30BhighOpensame-88%$0.058Context: 262K → 131K
Nemotron 3.5 LightningthinkingOpensame-83%$0.079No image inputQwen3.8 Max (0902)thinking+38.9+1,039%$5.41Qwen3.8 FlashthinkingOpen+25.3-22%$0.37Memory (4-bit): 22 GB → 108 GB+6Qwen3.8 2.4T A95BthinkingOpen+11.1+354%$2.16Memory (4-bit): 22 GB → 1,468 GB+6Qwen3.8 27BmediumOpen+5.1+139%$1.13max_tokens range · QwenCloud+4Qwen3.7 Maxthinking+1.5+142%$1.15No image inputQwen3.7 Plusthinking+1-54%$0.22Qwen 3.5 9BthinkingOpensame-55%$0.21Qwen3.6 27BthinkingOpensame+31%$0.62All Alibaba (Qwen) models →Run it yourself
estimateFAQ
How much does Qwen3.6 35B A3B cost?›
$0.25 per 1M input tokens and $1.49 per 1M output tokens; cheapest via Darkbloom at $0.05 / $0.70. A typical benchmark task costs about $0.48 at default effort.
Is Qwen3.6 35B A3B free to use?›
There is no free API; the cheapest paid price is $0.05 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen3.6 35B A3B, and what is it best at?›
#112 of 334 in Chat & Knowledge, #75 of 132 in Coding, #83 of 133 in Agents & Tool Use, #73 of 245 in Writing & Language, #49 of 124 in Vision & Documents. Strongest at: Tool calling.
Is Qwen3.6 35B A3B better than Qwen3.6 27B?›
On Terminal-Bench 4.0, Qwen3.6 35B A3B scores 0 vs 0 — about the same. It is 24% cheaper per task.
How can I use Qwen3.6 35B A3B?›
Through the API of AkashML, AtlasCloud, CoreWeave, Darkbloom, DeepInfra and 6 more.
What is the context window of Qwen3.6 35B A3B?›
262K tokens, with up to 66K output tokens.
When was Qwen3.6 35B A3B released? Is there a newer version?›
Released 2026-04-17. It is the current version in its line.
Is Qwen3.6 35B A3B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3.6 35B A3B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3.6 35B A3B read images?›
It accepts text and images, video as input.
What is Qwen3.6 35B A3B?›
Qwen3.6 35B A3B is an open-weights language model from Alibaba (Qwen), released Apr 2026, the successor to Qwen 3.5 35B A3B.
What are the best alternatives to Qwen3.6 35B A3B?›
GPT-6.1 Sol (cheaper), GPT-6 Luna (better), Qwen3.8 27B (open weights).