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Qwen2.5 14B Instruct vs Qwen2 72B Instruct

Qwen2.5 14B Instruct and Qwen2 72B Instruct are closely matched at 3.8 and 5.8 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 72B Instruct are closely matched on the overall LLM Stats Score at 3.8 and 5.8.

The models split the 12 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Qwen2.5 14B Instruct

  • you want the most recent training data — it shipped Sep 2024

Choose Qwen2 72B Instruct

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

At a glance

The differences that matter most.

Core performance indexes
3.8
#306
5.8
#294
3.3
#301
5.7
#290
3.9
#214
9.8
#168
Cost, coverage & limits
Benchmark wins
6 of 12
6 of 12
Input price
— / M
— / M
Output price
— / M
— / M
Context window

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Qwen2.5 14B Instruct
Qwen2 72B Instruct
10.6#250
11.0#246
5.0#172
7.9#158
5.7#154
6.1#150
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Qwen2.5 14B Instruct · 17 for Qwen2 72B Instruct

12 shared

Qwen2.5 14B Instruct outperforms in 6 benchmarks (GPQA, GSM8k, MATH, MBPP, MultiPL-E, TruthfulQA), while Qwen2 72B Instruct is better at 6 benchmarks (ARC-C, BBH, HumanEval, MMLU, MMLU-Pro, TheoremQA).

Both models are evenly matched across the benchmarks.

Fri Sep 18 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

57.3B diff

Qwen2 72B Instruct has 57.3B more parameters than Qwen2.5 14B Instruct, making it 389.8% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
72.0Bparameters
14.7B
Qwen2.5 14B Instruct
72.0B
Qwen2 72B Instruct

License

Usage and distribution terms

Qwen2.5 14B Instruct is licensed under Apache 2.0, while Qwen2 72B Instruct uses tongyi-qianwen.

License differences may affect how you can use these models in commercial or open-source projects.

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Qwen2.5 14B Instruct was released on 2024-09-19, while Qwen2 72B Instruct was released on 2024-07-23.

Qwen2.5 14B Instruct is 2 months newer than Qwen2 72B Instruct.

Qwen2.5 14B Instruct

Sep 19, 2024

2.0 years ago

1mo newer
Qwen2 72B Instruct

Jul 23, 2024

2.2 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Qwen2.5 14B Instruct and Qwen2 72B Instruct side-by-side, then vote on the output you prefer.

Qwen2.5 14B Instruct
✓ Preferred
Qwen2 72B Instruct
Open in Playground

FAQ

Common questions about Qwen2.5 14B Instruct vs Qwen2 72B Instruct.

Which is better, Qwen2.5 14B Instruct or Qwen2 72B Instruct?

Qwen2.5 14B Instruct and Qwen2 72B Instruct are closely matched on the LLM Stats Score at 3.8 and 5.8. Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team and Qwen2 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen2.5 14B Instruct compare to Qwen2 72B Instruct in benchmarks?

Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%. Qwen2 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%.

What are the main differences between Qwen2.5 14B Instruct and Qwen2 72B Instruct?

Key differences include LLM Stats Score (3.8 vs 5.8), licensing (Apache 2.0 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.