Model Comparison

DeepSeek-V2.5 vs DeepSeek R1 Zero

Comparing DeepSeek-V2.5 and DeepSeek R1 Zero across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V2.5 and DeepSeek R1 Zero don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

435.0B diff

DeepSeek R1 Zero has 435.0B more parameters than DeepSeek-V2.5, making it 184.3% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
DeepSeek
DeepSeek R1 Zero
671.0Bparameters
236.0B
DeepSeek-V2.5
671.0B
DeepSeek R1 Zero

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
DeepSeek
DeepSeek R1 Zero
Input- tokens
Output- tokens
Sat May 30 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while DeepSeek R1 Zero uses MIT.

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

DeepSeek-V2.5

deepseek

Open weights

DeepSeek R1 Zero

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while DeepSeek R1 Zero was released on 2025-01-20.

DeepSeek R1 Zero is 9 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.1 years ago

DeepSeek R1 Zero

Jan 20, 2025

1.4 years ago

8mo 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)
DeepSeek

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
DeepSeek
DeepSeek R1 Zero

FAQ

Common questions about DeepSeek-V2.5 vs DeepSeek R1 Zero.

Which is better, DeepSeek-V2.5 or DeepSeek R1 Zero?

DeepSeek-V2.5 (DeepSeek) and DeepSeek R1 Zero (DeepSeek) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V2.5 compare to DeepSeek R1 Zero in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. DeepSeek R1 Zero scores MATH-500: 95.9%, AIME 2024: 86.7%, GPQA: 73.3%, LiveCodeBench: 50.0%.

What are the context window sizes for DeepSeek-V2.5 and DeepSeek R1 Zero?

DeepSeek-V2.5 supports 8K tokens and DeepSeek R1 Zero 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 DeepSeek R1 Zero?

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