OSAIM
Open Source AI Models

Comparison

Qwen2.5 Coder 32B vs DeepSeek Coder V2

Side-by-side specs, benchmarks and hosted-inference pricing.

Side A
Qwen2.5 Coder 32B
Alibaba · Qwen

Coding-specialised Qwen2.5 32B fine-tune. GPT-4o-class on HumanEval and BigCodeBench at the time of release. Trained on additional code-heavy data with extended pre-training. Apache 2.0. Natural pick for self-hosted coding assistants, code-review automation, and any agent loop that primarily writes code.

Side B
DeepSeek Coder V2
DeepSeek · DeepSeek

Coding-focused MoE model with 21B active parameters out of 236B total. Supports 338 programming languages with strong performance across mainstream stacks (Python, TypeScript, Go, Rust, Java, C++) and competent results on niche languages where most open models falter. The DeepSeek licence applies — commercial use permitted with some application restrictions.

Specs

Parameters32B236B
Context length128K128K
Modalitytexttext
Released2024-11-122024-06-17
LicenseApache 2.0DeepSeek License
Commercial useYesYes
VRAM fp1664 GB472 GB
VRAM Q419.2 GB141.6 GB

Benchmarks

HumanEval92.790.2
MATH65.075.7
MMLU75.179.2

Cheapest hosted pricing

Qwen2.5 Coder 32B
together: $0.80 in / $0.80 out per 1M tokens
DeepSeek Coder V2
deepinfra: $0.14 in / $0.28 out per 1M tokens
Highlighted cells indicate the better value for that row (higher score, larger context, lower VRAM).