Groq
Groq
Efficient

Qwen2.5-Coder-32B (Groq)

Fast Code

Best open-weights code model in its class. A strong Codestral / GPT-4 alternative for self-hosted IDE backends.

Qwen2.5-Coder-32B (Groq) is a efficient AI model from Groq. It costs $0.790 per million input tokens and $0.790 per million output tokens (blended $0.790/M), with a 128,000-token context window.

Profile inherited from upstream Qwen2.5-Coder-32B ↗ — this is a hosted variant of the same open-weights model.

INPUT
$0.790/M
per million input tokens
OUTPUT
$0.790/M
per million output tokens
BLENDED 70/30
$0.790/M
unchanged since 3 May
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
Scores inherited from Qwen2.5-Coder-32B — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU75%
Multitask academic knowledge across 57 subjects.
Python function synthesis from docstrings.
LMArena Elo1235 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources, treat as directional rather than authoritative.

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Frequently asked questions

How much does Qwen2.5-Coder-32B (Groq) cost?

Qwen2.5-Coder-32B (Groq) costs $0.790 per million input tokens and $0.790 per million output tokens, for a blended reference rate of $0.790 per million tokens.

What is Qwen2.5-Coder-32B (Groq)'s context window?

Qwen2.5-Coder-32B (Groq) supports up to 128,000 tokens of context in a single request.

What is Qwen2.5-Coder-32B (Groq) best for?

Qwen2.5-Coder-32B (Groq) is well suited to Best open-weights code at 32B, 128K context and Permissive license.

Who makes Qwen2.5-Coder-32B (Groq)?

Qwen2.5-Coder-32B (Groq) is developed and served by Groq.

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