Qwen2.5 14B Instruct vs Qwen2.5-Coder 7B Instruct
Qwen2.5 14B Instruct leads the LLM Stats Score 3.8 to -3.2.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 14B Instruct leads the overall LLM Stats Score 3.8 to -3.2, ranking #314 overall.
In the 10 individual benchmarks reported for both models, Qwen2.5 14B Instruct wins 8; 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
- overall performance matters — it scores 3.8 and ranks #314 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 8 of 10 exact shared results
Choose Qwen2.5-Coder 7B Instruct
- you are already invested in the Alibaba Cloud / Qwen Team ecosystem
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 · 19 for Qwen2.5-Coder 7B Instruct
Qwen2.5 14B Instruct outperforms in 8 benchmarks (ARC-C, GSM8k, MATH, MMLU, MMLU-Pro, MMLU-Redux, TheoremQA, TruthfulQA), while Qwen2.5-Coder 7B Instruct is better at 2 benchmarks (HumanEval, MBPP).
Qwen2.5 14B Instruct significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5 14B Instruct has 7.7B more parameters than Qwen2.5-Coder 7B Instruct, making it 110.0% larger.
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
2.0 years ago
Sep 19, 2024
2.0 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 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen2.5 14B Instruct vs Qwen2.5-Coder 7B Instruct.