Qwen2.5 14B Instruct vs Qwen2.5-Coder 32B Instruct
Qwen2.5 14B Instruct and Qwen2.5-Coder 32B Instruct are closely matched at 3.8 and 2.0 on the LLM Stats Score.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 14B Instruct and Qwen2.5-Coder 32B Instruct are closely matched on the overall LLM Stats Score at 3.8 and 2.0.
In the 10 individual benchmarks reported for both models, Qwen2.5 14B Instruct wins 6; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen2.5 14B Instruct
- you value its reported benchmark strengths — it wins 6 of 10 exact shared results
Choose Qwen2.5-Coder 32B Instruct
- you want predictable pricing at $0.09/M input and $0.09/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
16 reported for Qwen2.5 14B Instruct · 15 for Qwen2.5-Coder 32B Instruct
Qwen2.5 14B Instruct outperforms in 6 benchmarks (GSM8k, MATH, MMLU, MMLU-Pro, MMLU-Redux, TruthfulQA), while Qwen2.5-Coder 32B Instruct is better at 4 benchmarks (ARC-C, HumanEval, MBPP, TheoremQA).
Qwen2.5 14B Instruct has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5-Coder 32B Instruct has 17.3B more parameters than Qwen2.5 14B Instruct, making it 117.7% larger.
Context Window
Maximum input and output token capacity
Only Qwen2.5-Coder 32B Instruct specifies input context (128,000 tokens). Only Qwen2.5-Coder 32B Instruct specifies output context (128,000 tokens).
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Both models were released on 2024-09-19.
They likely represent similar generations of model development.
Sep 19, 2024
2.1 years ago
Sep 19, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen2.5 14B Instruct and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5 14B Instruct vs Qwen2.5-Coder 32B Instruct.