Strengths
What it's the best tool for
- 262K context with caching
- Strong math (AIME 80.6%)
- Top-3 on LMArena, ahead of GPT-5-Chat
- Excellent multilingual support
- MoE architecture with stable training
Limitations
When to reach for something else
- Chinese-policy content filters
- No image or video generation
- Smaller tool ecosystem than OpenAI
- Weaker on low-resource languages
Sample output
How Qwen3 Max responds
Prompt
Prove that the sum of two primes greater than 2 is always even. State it formally and check edge cases.
Qwen3 Max
Claim: if p, q > 2 are primes, then p + q is even.
Proof: p, q > 2 ⇒ both p and q are odd.
Sum of two odd numbers is even. ∎
Edge case p=2: excluded by the >2 constraint.
Where teams use it
Four scenarios where it pays for itself
01
Math and olympiads
AIME 80.6%, solid proofs
02
Large documents
262K context + caching
03
Multilingual content
Strong CN + EN + RU
04
Coding and agents
High LiveBench score
About model
More about Qwen3 Max
Qwen3 Max Online — Alibaba's Trillion-Parameter MoE
Qwen3 Max is Alibaba's flagship 1T-parameter MoE model with a 262 144-token context. Access it on NetRoom without VPN or a Chinese account.
Why it matters
Consistently top-3 on LMArena, beating GPT-5-Chat in several tracks. Scores 80.6% on AIME math and 79.3% on LiveBench — ahead of Kimi K2 and DeepSeek.
Strengths
Strong on code, advanced reasoning and multilingual tasks. Context caching sharply reduces the cost of processing large documents.
Who it is for
Dev teams in APAC, analysts with long documents, data engineers — anyone who wants frontier quality at low pricing with very long context.
Try Qwen3 Max
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