Model Comparison

DeepSeek-V2.5 vs Qwen2 7B Instruct

DeepSeek-V2.5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

DeepSeek-V2.5 outperforms in 6 benchmarks (AlignBench, GSM8k, HumanEval, MATH, MMLU, MT-Bench), while Qwen2 7B Instruct is better at 0 benchmarks.

DeepSeek-V2.5 significantly outperforms across most benchmarks.

Fri Apr 10 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
Fri Apr 10 2026 • llm-stats.com
DeepSeek
DeepSeek-V2.5
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

228.4B diff

DeepSeek-V2.5 has 228.4B more parameters than Qwen2 7B Instruct, making it 2997.1% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct
7.6Bparameters
236.0B
DeepSeek-V2.5
7.6B
Qwen2 7B 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 7B Instruct
Input- tokens
Output- tokens
Fri Apr 10 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Qwen2 7B Instruct uses Apache 2.0.

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

DeepSeek-V2.5

deepseek

Open weights

Qwen2 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Qwen2 7B Instruct was released on 2024-07-23.

Qwen2 7B Instruct is 3 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

1.9 years ago

Qwen2 7B Instruct

Jul 23, 2024

1.7 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

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Key Takeaways

DeepSeek
Larger context window (8,192 tokens)
Higher AlignBench score (80.4% vs 72.1%)
Higher GSM8k score (95.1% vs 82.3%)
Higher HumanEval score (89.0% vs 79.9%)
Higher MATH score (74.7% vs 49.6%)
Higher MMLU score (80.4% vs 70.5%)
Higher MT-Bench score (90.2% vs 84.1%)
Alibaba Cloud / Qwen Team

Qwen2 7B Instruct

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
Alibaba Cloud / Qwen Team
Qwen2 7B Instruct

FAQ

Common questions about DeepSeek-V2.5 vs Qwen2 7B Instruct

DeepSeek-V2.5 significantly outperforms across most benchmarks. DeepSeek-V2.5 is made by DeepSeek and Qwen2 7B 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 7B Instruct scores MT-Bench: 84.1%, GSM8k: 82.3%, HumanEval: 79.9%, C-Eval: 77.2%, AlignBench: 72.1%.
DeepSeek-V2.5 supports 8K tokens and Qwen2 7B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V2.5 is developed by DeepSeek and Qwen2 7B Instruct is developed by Alibaba Cloud / Qwen Team.