Back to SearchHardware Shootout
Alibaba Cloud (Qwen)
Qwen2.5-Coder 32B
VS
DeepSeek
DeepSeek V2 Lite
Analysis By: The WhichLLMModel Editorial Team|Updated: June 2026
Live Hardware Compatibility Simulator
GPU Dedicated VRAM16 GB
System Host RAM32 GB
Qwen2.5-Coder 32BPartial CPU Offload
VRAM Footprint (Q4):20.81 GB
Active GPU Load:14.34 GB
DeepSeek V2 Lite100% GPU VRAM (Safe)
VRAM Footprint (Q4):10.50 GB
Active GPU Load:10.50 GB
Hardware & Architecture Shootout Matrix
| Metric / Spec | Qwen2.5-Coder 32B | DeepSeek V2 Lite |
|---|---|---|
| Parameter Scale | 32B Parameters | 16B Parameters |
| Attention Architecture | Standard GQA / MHA | MLA Low-Rank Latent |
| Max Context Window | 131.07k | 163.84k |
| Available GGUF Quants | 2 Quant Formats | 0 Quant Formats |
| Full Model Page | Hardware Details | Hardware Details |
Intelligence & Benchmark Head-to-Head
Coding Benchmark (SWE-bench / HumanEval)
Qwen2.5-Coder 32B31.4%
DeepSeek V2 Lite29.9%
Reasoning Benchmark (GPQA / MMLU)
Qwen2.5-Coder 32BN/A%
DeepSeek V2 LiteN/A%
Frequently Asked Questions about Qwen2.5-Coder 32B vs DeepSeek V2 Lite
DeepSeek V2 Lite is cheaper than Qwen2.5-Coder 32B. DeepSeek V2 Lite has a blended cost of $NaN/1M tokens, which is about 1.0x cheaper than Qwen2.5-Coder 32B at $NaN/1M tokens.
For coding tasks, Qwen2.5-Coder 32B scores 31.4% on live-code-bench (scripting single-file apps or clearly defined functions), while DeepSeek V2 Lite scores 29.9% on human-eval (basic standalone code completion and simple functions).
Related Matchups
Explore similar comparisons for Qwen2.5-Coder 32B and DeepSeek V2 Lite.