Model Comparison

DeepSeek-V2.5 vs Qwen2 72B InstructWhich is better in 2026?

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Verdict: DeepSeek-V2.5 vs Qwen2 72B Instruct — which is better?

DeepSeek-V2.5 (by DeepSeek) and Qwen2 72B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-V2.5 outperforms in 4 benchmarks (BBH, GSM8k, HumanEval, MATH), while Qwen2 72B Instruct is better at 1 benchmark (MMLU). DeepSeek-V2.5 significantly outperforms across most benchmarks.

Choose DeepSeek-V2.5 if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks

Choose Qwen2 72B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V2.5 outperforms in 4 benchmarks (BBH, GSM8k, HumanEval, MATH), while Qwen2 72B Instruct is better at 1 benchmark (MMLU).

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Sun Jul 26 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

164.0B diff

DeepSeek-V2.5 has 164.0B more parameters than Qwen2 72B Instruct, making it 227.8% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
72.0Bparameters
236.0B
DeepSeek-V2.5
72.0B
Qwen2 72B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V2.5 specifies input context (8,192 tokens). Only DeepSeek-V2.5 specifies output context (8,192 tokens).

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
Input- tokens
Output- tokens
Sun Jul 26 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Qwen2 72B Instruct uses tongyi-qianwen.

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

DeepSeek-V2.5

deepseek

Open weights

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Qwen2 72B Instruct was released on 2024-07-23.

Qwen2 72B Instruct is 3 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.2 years ago

Qwen2 72B Instruct

Jul 23, 2024

2.0 years ago

2mo newer

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

Larger context window (8,192 tokens)
Higher BBH score (84.3% vs 82.4%)
Higher GSM8k score (95.1% vs 91.1%)
Higher HumanEval score (89.0% vs 86.0%)
Higher MATH score (74.7% vs 59.7%)
Alibaba Cloud / Qwen Team

Qwen2 72B Instruct

View details

Alibaba Cloud / Qwen Team

Higher MMLU score (82.3% vs 80.4%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V2.5 and Qwen2 72B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V2.5
✓ Preferred
Qwen2 72B Instruct
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct

FAQ

Common questions about DeepSeek-V2.5 vs Qwen2 72B Instruct.

Which is better, DeepSeek-V2.5 or Qwen2 72B Instruct?

DeepSeek-V2.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 is made by DeepSeek and Qwen2 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.

How does DeepSeek-V2.5 compare to Qwen2 72B Instruct in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Qwen2 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%.

What are the context window sizes for DeepSeek-V2.5 and Qwen2 72B Instruct?

DeepSeek-V2.5 supports 8K tokens and Qwen2 72B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V2.5 and Qwen2 72B Instruct?

Key differences include licensing (deepseek vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and Qwen2 72B Instruct?

DeepSeek-V2.5 is developed by DeepSeek and Qwen2 72B Instruct is developed by Alibaba Cloud / Qwen Team.