Qwen2.5-Max
Flagship
Alibaba's closed-weights flagship. Frontier-quality MoE that competes with Claude / GPT on Chinese benchmarks at competitive pricing.
Qwen2.5-Max is a frontier AI model from Qwen. It costs $1.600 per million input tokens and $6.400 per million output tokens (blended $3.040/M), with a 32,000-token context window.
INPUT
$1.600/M
per million input tokens
OUTPUT
$6.400/M
per million output tokens
CONTEXT
32,000
tokens
What it is good at
- Frontier on Chinese benchmarks
- MoE inference economics
- Strong tool use
- Multilingual
Typical use cases
- Chinese-first production chat
- Multilingual agents
- Cost-sensitive frontier traffic
Benchmarks
vs. best public score
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.
More from Qwen
See all 22 →Qwen3.7-Max
Flagship · 1,000,000 ctx
in $2.500/Mout $7.500/M
Qwen3.7-Plus
Balanced · 1,000,000 ctx
in $0.400/Mout $1.600/M
Qwen2.5-72B-Instruct
Large · 128,000 ctx
in $1.200/Mout $1.200/M
Qwen2.5-32B-Instruct
Balanced · 128,000 ctx
in $0.700/Mout $0.700/M
Qwen2.5-14B-Instruct
Small · 128,000 ctx
in $0.350/Mout $0.350/M
Qwen2.5-7B-Instruct
Compact · 128,000 ctx
in $0.100/Mout $0.100/M
Frequently asked questions
How much does Qwen2.5-Max cost?
Qwen2.5-Max costs $1.600 per million input tokens and $6.400 per million output tokens, for a blended reference rate of $3.040 per million tokens.
What is Qwen2.5-Max's context window?
Qwen2.5-Max supports up to 32,000 tokens of context in a single request.
What is Qwen2.5-Max best for?
Qwen2.5-Max is well suited to Frontier on Chinese benchmarks, MoE inference economics and Strong tool use.
Who makes Qwen2.5-Max?
Qwen2.5-Max is developed and served by Qwen. It was released in Jan 2025.