Qwen3 235B A22B Instruct 2507
Qwen3 235B A22B Instruct 2507Rankingin non-thinking mode?
Alternatives?
CheaperMiMo v2.6 FlashunstatedOpenwins 57%-15%$0.14 / $0.28Memory (4-bit): 141 GB → 186 GB+4
BetterGPT-5.6 Terraxhighwins 57%+2,095%$0.63Prompts with >272K input tokens
OpenGLM 5.3 Flashunstatedwins 59%+16%$0.15 / $0.50Memory (4-bit): 141 GB → 193 GB+5
CheaperGemma 4 31BunstatedOpensame-22%$0.10 / $0.34Context: 262K → 256KCheaperMiMo v2.5unstatedOpensame-15%$0.14 / $0.28Memory (4-bit): 141 GB → 186 GBMiMo v2.6 FlashunstatedOpenwins 57%-15%$0.14 / $0.28Memory (4-bit): 141 GB → 186 GB+4Gemma 4 31BunstatedOpensame-22%$0.10 / $0.34Context: 262K → 256KMiMo v2.5unstatedOpensame-15%$0.14 / $0.28Memory (4-bit): 141 GB → 186 GBMiMo v2 Omniunstatedsame-15%$0.14 / $0.28
NVIDIA Nemotron 3.5 Super VL 120B A12B NVFP4Opensame-16%$0.08 / $0.45Memory (4-bit): not verifiedGPT-5.6 Terraxhighwins 57%+2,095%$0.63Prompts with >272K input tokensGPT-6.1 Solmaxwins 54%+1,851%$0.72Remove unsupported parameters+5
Muse Spark 1.2xhighwins 56%+876%$0.97Only auto tool_choice is supported+1GPT-5.6 Solxhighwins 59%+3,802%$1.18Gemini 3.8 Flashhighwins 62%+632%*$1.24Sampling parameters are ignored+1GLM 5.3 FlashunstatedOpenwins 59%+16%$0.15 / $0.50Memory (4-bit): 141 GB → 193 GB+5MiMo v2.6 FlashunstatedOpenwins 57%-15%$0.14 / $0.28Memory (4-bit): 141 GB → 186 GB+4Qwen3.8 27BunstatedOpenwins 55%+366%$0.42 / $2.55max_tokens range · QwenCloud+4Qwen3.5 397B A17BunstatedOpenwins 55%+559%$0.60 / $3.60Memory (4-bit): 141 GB → 242 GBNVIDIA Nemotron 3 Ultra 550B A55B NVFP4Openwins 55%——Memory (4-bit): 141 GB → 182 GBQwen 3.7 Max Previewwins 59%—$2.50 / $7.50Context: not verifiedQwen3.7 Plusunstatedwins 56%—$0.32 / $1.28Qwen3.8 27BunstatedOpenwins 55%—$0.42 / $2.55max_tokens range · QwenCloud+4Qwen3.5 397B A17BunstatedOpenwins 55%—$0.60 / $3.60Memory (4-bit): 141 GB → 242 GBQwen3.6 Max Previewunstatedwins 53%—$1.30 / $7.80Include the word JSON · QwenCloudQwen3 235B A22B Thinking 2507unstatedOpenwins 52%—$0.23 / $2.30No strict JSONQwen3 Max (Preview)unstatedsame—$0.87 / $3.48Qwen 3.5 27BunstatedOpensame—$0.30 / $2.40All Alibaba (Qwen) models →Run it yourself
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all categoriesFAQ
How much does Qwen3 235B A22B Instruct 2507 cost?›
$0.09 per 1M input tokens and $0.55 per 1M output tokens (cheapest host: DeepInfra).
Is Qwen3 235B A22B Instruct 2507 free to use?›
There is no free API; the cheapest paid price is $0.09 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen3 235B A22B Instruct 2507, and what is it best at?›
#170 of 334 in Chat & Knowledge, #108 of 239 in Coding, #140 of 242 in Agents & Tool Use, #80 of 187 in Writing & Language.
Is Qwen3 235B A22B Instruct 2507 better than GLM 4.5?›
On Arena Text · Chinese, Qwen3 235B A22B Instruct 2507 scores 1,464.6 vs 1,464.8 — about the same.
How can I use Qwen3 235B A22B Instruct 2507?›
Through the API of AWS Bedrock, DeepInfra, Google, Nebius, Parasail and 1 more.
What is the context window of Qwen3 235B A22B Instruct 2507?›
262K tokens, with up to 16K output tokens.
When was Qwen3 235B A22B Instruct 2507 released? Is there a newer version?›
Released 2025-07-21. It has been superseded by Qwen3.5 397B A17B.
Is Qwen3 235B A22B Instruct 2507 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3 235B A22B Instruct 2507 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3 235B A22B Instruct 2507 read images?›
No, it accepts text only.
What is Qwen3 235B A22B Instruct 2507?›
Qwen3 235B A22B Instruct 2507 is an open-weights language model from Alibaba (Qwen), released Jul 2025.
What are the best alternatives to Qwen3 235B A22B Instruct 2507?›
MiMo v2.6 Flash (cheaper), GPT-5.6 Terra (better), GLM 5.3 Flash (open weights).