Qwen2.5-Coder-32B
Code
Best open-weights code model in its class. A strong Codestral / GPT-4 alternative for self-hosted IDE backends.
Qwen2.5-Coder-32B is a efficient AI model from Qwen. It costs $0.700 per million input tokens and $0.700 per million output tokens (blended $0.700/M), with a 128,000-token context window.
INPUT
$0.700/M
per million input tokens
OUTPUT
$0.700/M
per million output tokens
CONTEXT
128,000
tokens
What it is good at
- Best open-weights code at 32B
- 128K context
- Permissive license
Typical use cases
- Self-hosted IDE backends
- Code review bots
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-Max
Flagship · 32,000 ctx
in $1.600/Mout $6.400/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
Frequently asked questions
How much does Qwen2.5-Coder-32B cost?
Qwen2.5-Coder-32B costs $0.700 per million input tokens and $0.700 per million output tokens, for a blended reference rate of $0.700 per million tokens.
What is Qwen2.5-Coder-32B's context window?
Qwen2.5-Coder-32B supports up to 128,000 tokens of context in a single request.
What is Qwen2.5-Coder-32B best for?
Qwen2.5-Coder-32B is well suited to Best open-weights code at 32B, 128K context and Permissive license.
Who makes Qwen2.5-Coder-32B?
Qwen2.5-Coder-32B is developed and served by Qwen.