Qwen3 30B A3B Instruct 2507
Qwen3 30B A3B Instruct 2507Rankingin non-thinking mode?
Alternatives?
CheaperQwen 3.5 Flashunstatedsame-20%$0.065 / $0.26
BetterGPT-5.6 Lunaxhighwins 55%+216%$0.085OpenQwen3.8 27Bunstatedwins 60%+571%$0.42 / $2.55max_tokens range · QwenCloud+4CheaperGPT OSS 120BunstatedOpenwins 43%-58%$0.03 / $0.15Context: 262K → 131K+1
CheaperNemotron 3 Nano 30B A3BunstatedOpenwins 43%-26%$0.06 / $0.24Context: 262K → 131K+1Qwen 3.5 Flashunstatedsame-20%$0.065 / $0.26GPT OSS 120BunstatedOpenwins 43%-58%$0.03 / $0.15Context: 262K → 131K+1Nemotron 3 Nano 30B A3BunstatedOpenwins 43%-26%$0.06 / $0.24Context: 262K → 131K+1GPT-5.6 Lunaxhighwins 55%+216%$0.085GPT-5.6 Terraxhighwins 62%+3,058%$0.63Prompts with >272K input tokensGPT-6.1 Solmaxwins 59%+2,707%$0.72Remove unsupported parameters+5
Muse Spark 1.2xhighwins 61%+1,304%$0.97Only auto tool_choice is supported+1GPT-5.6 Solxhighwins 63%+5,514%$1.18Qwen3.8 27BunstatedOpenwins 60%+571%$0.42 / $2.55max_tokens range · QwenCloud+4
Gemma 4 26B A4BunstatedOpenwins 59%+84%$0.15 / $0.60Context: 262K → 256KQwen 3.5 27BunstatedOpenwins 56%+479%$0.30 / $2.40Gemma 4 31BunstatedOpenwins 56%+12%$0.10 / $0.34Context: 262K → 256K+1Qwen 3.5 35B A3BunstatedOpenwins 53%+382%$0.25 / $2Memory (4-bit): 18 GB → 22 GBQwen 3.7 Max Previewwins 64%—$2.50 / $7.50Context: not verifiedQwen3.7 Plusunstatedwins 61%—$0.32 / $1.28Qwen3.8 27BunstatedOpenwins 60%—$0.42 / $2.55max_tokens range · QwenCloud+4Qwen3.5 397B A17BunstatedOpenwins 59%—$0.60 / $3.60Memory (4-bit): 18 GB → 242 GBQwen3.6 Max Previewunstatedwins 58%—$1.30 / $7.80Include the word JSON · QwenCloudQwen3 235B A22B Thinking 2507unstatedOpenwins 57%—$0.23 / $2.30Memory (4-bit): 18 GB → 141 GB+1Qwen3 Max (Preview)unstatedwins 57%—$0.87 / $3.48Qwen 3.5 27BunstatedOpenwins 56%—$0.30 / $2.40All Alibaba (Qwen) models →Run it yourself
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How much does Qwen3 30B A3B Instruct 2507 cost?›
$0.09 per 1M input tokens and $0.30 per 1M output tokens (cheapest host: DekaLLM).
Is Qwen3 30B A3B 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 30B A3B Instruct 2507, and what is it best at?›
#224 of 334 in Chat & Knowledge, #152 of 239 in Coding, #225 of 242 in Agents & Tool Use, #111 of 187 in Writing & Language.
Is Qwen3 30B A3B Instruct 2507 better than o3 (2025-04-16)?›
On Arena Text · Chinese, Qwen3 30B A3B Instruct 2507 scores 1,432.7 vs 1,437.1 — about the same.
How can I use Qwen3 30B A3B Instruct 2507?›
Through the API of DekaLLM, Featherless, Nebius, SiliconFlow.
What is the context window of Qwen3 30B A3B Instruct 2507?›
262K tokens, with up to 236K output tokens.
When was Qwen3 30B A3B Instruct 2507 released? Is there a newer version?›
Released 2025-07-29. It is the current version in its line.
Is Qwen3 30B A3B Instruct 2507 open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3 30B A3B Instruct 2507 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3 30B A3B Instruct 2507 read images?›
No, it accepts text only.
What is Qwen3 30B A3B Instruct 2507?›
Qwen3 30B A3B Instruct 2507 is an open-weights language model from Alibaba (Qwen), released Jul 2025.
What are the best alternatives to Qwen3 30B A3B Instruct 2507?›
Qwen 3.5 Flash (cheaper), GPT-5.6 Luna (better), Qwen3.8 27B (open weights).