Model Comparison

DeepSeek-V2.5 vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. DeepSeek-V2.5 is 2.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-V2.5 outperforms in 1 benchmarks (HumanEval), while Qwen2.5 72B Instruct is better at 5 benchmarks (AlignBench, Arena Hard, GSM8k, MATH, MT-Bench).

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

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V2.5 costs less

For input processing, DeepSeek-V2.5 ($0.14/1M tokens) is 2.5x cheaper than Qwen2.5 72B Instruct ($0.35/1M tokens).

For output processing, DeepSeek-V2.5 ($0.28/1M tokens) is 1.4x cheaper than Qwen2.5 72B Instruct ($0.40/1M tokens).

In conclusion, Qwen2.5 72B Instruct is more expensive than DeepSeek-V2.5.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
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

163.3B diff

DeepSeek-V2.5 has 163.3B more parameters than Qwen2.5 72B Instruct, making it 224.6% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
72.7Bparameters
236.0B
DeepSeek-V2.5
72.7B
Qwen2.5 72B Instruct

Context Window

Maximum input and output token capacity

Qwen2.5 72B Instruct accepts 131,072 input tokens compared to DeepSeek-V2.5's 8,192 tokens. Both models can generate responses up to 8,192 tokens.

DeepSeek
DeepSeek-V2.5
Input8,192 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct
Input131,072 tokens
Output8,192 tokens
Tue Apr 07 2026 • llm-stats.com

License

Usage and distribution terms

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

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

DeepSeek-V2.5

deepseek

Open weights

Qwen2.5 72B Instruct

Qwen

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Qwen2.5 72B Instruct was released on 2024-09-19.

Qwen2.5 72B Instruct is 4 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

1.9 years ago

Qwen2.5 72B Instruct

Sep 19, 2024

1.5 years ago

4mo 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

Provider Availability

DeepSeek-V2.5 is available from DeepSeek, DeepInfra, Hyperbolic. Qwen2.5 72B Instruct is available from DeepInfra, Hyperbolic, Fireworks, Together.

DeepSeek-V2.5

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.70/1MOutput Price:Output: $1.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

Qwen2.5 72B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Higher HumanEval score (89.0% vs 86.6%)
Alibaba Cloud / Qwen Team

Qwen2.5 72B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Higher AlignBench score (81.6% vs 80.4%)
Higher Arena Hard score (81.2% vs 76.2%)
Higher GSM8k score (95.8% vs 95.1%)
Higher MATH score (83.1% vs 74.7%)
Higher MT-Bench score (93.5% vs 90.2%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Alibaba Cloud / Qwen Team
Qwen2.5 72B Instruct

FAQ

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

Qwen2.5 72B Instruct significantly outperforms across most benchmarks. DeepSeek-V2.5 is made by DeepSeek 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.
DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Qwen2.5 72B Instruct scores GSM8k: 95.8%, MT-Bench: 93.5%, MBPP: 88.2%, MMLU-Redux: 86.8%, HumanEval: 86.6%.
DeepSeek-V2.5 is 2.5x cheaper for input tokens. DeepSeek-V2.5 costs $0.14/M input and $0.28/M output via deepseek. Qwen2.5 72B Instruct costs $0.35/M input and $0.40/M output via deepinfra.
DeepSeek-V2.5 supports 8K 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 context window (8K vs 131K), input pricing ($0.14 vs $0.35/M), licensing (deepseek vs Qwen). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and Qwen2.5 72B Instruct is developed by Alibaba Cloud / Qwen Team.