Qwen3 0.6B
Qwen3 0.6BRankingin non-thinking mode?
Alternatives?
CheaperGemma 4 E4BthinkingOpen×3-20%$0.008Memory (4-bit): 0.4 GB → 4 GB
BetterGPT-6 Lunalow+11%+300%$0.005Function calling only with none · Chat Completions+3OOpenMiniCPM5 1Bnon-thinking×104.2——Memory (4-bit): 0.4 GB → 0.5 GBCheaperQwen3.5 0.8BthinkingOpen+53%-60%$0.01 / $0.05CheaperQwen3.5 2BthinkingOpen+26%-20%$0.02 / $0.10Memory (4-bit): 0.4 GB → 1.1 GBGemma 4 E4BthinkingOpen×3-20%$0.008Memory (4-bit): 0.4 GB → 4 GBQwen3.5 0.8BthinkingOpen+53%-60%$0.01 / $0.05Qwen3.5 2BthinkingOpen+26%-20%$0.02 / $0.10Memory (4-bit): 0.4 GB → 1.1 GBGPT OSS 20BlowOpen+8%-28%$0.018 / $0.09Memory (4-bit): 0.4 GB → 13 GB
Granite 4.0 Micronon-thinkingOpen-2%-19%$0.017 / $0.11Memory (4-bit): 0.4 GB → 1.6 GBGPT-6 Lunalow+11%+300%$0.005Function calling only with none · Chat Completions+3Granite 4.2 3BthinkingOpen×3.6+5%$0.006Memory (4-bit): 0.4 GB → 1.8 GB
Ministral 3 3B 2512Open+17%+100%$0.008Memory (4-bit): 0.4 GB → 1.9 GBGemma 4 E4BthinkingOpen×3-20%$0.008Memory (4-bit): 0.4 GB → 4 GBGPT-5.6 Lunalow+4%+800%$0.01Granite 4.2 3BthinkingOpen×3.6+5%$0.006Memory (4-bit): 0.4 GB → 1.8 GBQwen3 1.7Bnon-thinkingOpen-4%—$0.32 / $1.60Memory (4-bit): 0.4 GB → 1 GBQwen3 VL 4B Instructnon-thinkingOpen-4%—$0.10 / $0.60Memory (4-bit): 0.4 GB → 2.2 GBQwen3 8Bnon-thinkingOpen-2%—$0.18 / $0.70Memory (4-bit): 0.4 GB → 4.1 GBQwen3 30B A3B Instruct 2507non-thinkingOpen-2%—$0.09 / $0.30Memory (4-bit): 0.4 GB → 18 GBQwen3 Max Thinkingthinkingsame—$1.20 / $6Qwen3 Coder Nextnon-thinkingOpensame—$0.47Memory (4-bit): 0.4 GB → 48 GBQwen3 VL 30B A3B Instructnon-thinkingOpensame—$0.15 / $0.50Memory (4-bit): 0.4 GB → 19 GBQwen3 Next 80B A3B Instructnon-thinkingOpen+1%—$0.50 / $2Memory (4-bit): 0.4 GB → 49 GBAll Alibaba (Qwen) models →Run it yourself
estimateBenchmarks
all categoriesFAQ
How much does Qwen3 0.6B cost?›
$0.04 per 1M input tokens and $0.08 per 1M output tokens (cheapest host: Featherless).
Is Qwen3 0.6B free to use?›
There is no free API; the cheapest paid price is $0.04 per 1M input tokens. The weights are open, so you can run it yourself.
How good is Qwen3 0.6B, and what is it best at?›
#276 of 334 in Chat & Knowledge, #210 of 239 in Coding, #209 of 242 in Agents & Tool Use, #237 of 245 in Writing & Language.
Is Qwen3 0.6B better than MiniMax M2?›
On AA Omniscience · Hallucination Rate, Qwen3 0.6B scores 90.9 vs 90.9 — about the same.
How can I use Qwen3 0.6B?›
Through the API of Featherless.
What is the context window of Qwen3 0.6B?›
33K tokens.
When was Qwen3 0.6B released? Is there a newer version?›
Released 2025-04-28. It has been superseded by Qwen3.5 0.8B.
Is Qwen3 0.6B open source?›
Yes, the weights are open (Apache-2.0 licence).
Can I run Qwen3 0.6B locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can Qwen3 0.6B read images?›
No, it accepts text only.
What is Qwen3 0.6B?›
Qwen3 0.6B is an open-weights language model from Alibaba (Qwen), released Apr 2025.
What are the best alternatives to Qwen3 0.6B?›
Gemma 4 E4B (cheaper), GPT-6 Luna (better), MiniCPM5 1B (open weights).