Model Comparison

Qwen2.5 14B Instruct vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Qwen2.5 14B Instruct outperforms in 0 benchmarks, while Qwen2.5 72B Instruct is better at 8 benchmarks (GPQA, GSM8k, HumanEval, MATH, MBPP, MMLU-Pro, MMLU-Redux, MultiPL-E).

Qwen2.5 72B Instruct significantly outperforms across most benchmarks.

Tue Apr 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
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Model Size

Parameter count comparison

58.0B diff

Qwen2.5 72B Instruct has 58.0B more parameters than Qwen2.5 14B Instruct, making it 394.6% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
14.7B
Qwen2.5 14B Instruct
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Only Qwen2.5 72B Instruct specifies input context (131,072 tokens). Only Qwen2.5 72B Instruct specifies output context (8,192 tokens).

Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Apr 14 2026 • llm-stats.com

License

Usage and distribution terms

Qwen2.5 14B Instruct is licensed under Apache 2.0, while Qwen2.5 72B Instruct uses Qwen.

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

Qwen2.5 72B Instruct

Qwen

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.

Qwen2.5 14B Instruct

Sep 19, 2024

1.6 years ago

Qwen2.5 72B Instruct

Sep 19, 2024

1.6 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

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher GPQA score (49.0% vs 45.5%)
Higher GSM8k score (95.8% vs 94.8%)
Higher HumanEval score (86.6% vs 83.5%)
Higher MATH score (83.1% vs 80.0%)
Higher MBPP score (88.2% vs 82.0%)
Higher MMLU-Pro score (71.1% vs 63.7%)
Higher MMLU-Redux score (86.8% vs 80.0%)
Higher MultiPL-E score (75.1% vs 72.8%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

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

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team and Qwen2.5 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.
Qwen2.5 14B Instruct supports an unknown number of tokens and Qwen2.5 72B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Apache 2.0 vs Qwen). See the full comparison above for benchmark-by-benchmark results.