Model Comparison

DeepSeek-V2.5 vs Granite 3.3 8B Base

DeepSeek-V2.5 has a slight edge in benchmark performance.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V2.5 outperforms in 3 benchmarks (Arena Hard, GSM8k, MMLU), while Granite 3.3 8B Base is better at 2 benchmarks (AlpacaEval 2.0, HumanEval).

DeepSeek-V2.5 has a slight edge in benchmark performance.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

227.8B diff

DeepSeek-V2.5 has 227.8B more parameters than Granite 3.3 8B Base, making it 2788.6% larger.

DeepSeek
DeepSeek-V2.5
236.0Bparameters
IBM
Granite 3.3 8B Base
8.2Bparameters
236.0B
DeepSeek-V2.5
8.2B
Granite 3.3 8B Base

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
IBM
Granite 3.3 8B Base
Input- tokens
Output- tokens
Wed May 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Granite 3.3 8B Base supports multimodal inputs, whereas DeepSeek-V2.5 does not.

Granite 3.3 8B Base can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V2.5

Text
Images
Audio
Video

Granite 3.3 8B Base

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V2.5 is licensed under deepseek, while Granite 3.3 8B Base 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

Granite 3.3 8B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V2.5 was released on 2024-05-08, while Granite 3.3 8B Base was released on 2025-04-16.

Granite 3.3 8B Base is 11 months newer than DeepSeek-V2.5.

DeepSeek-V2.5

May 8, 2024

2.0 years ago

Granite 3.3 8B Base

Apr 16, 2025

1.1 years ago

11mo newer

Knowledge Cutoff

When training data ends

Granite 3.3 8B Base has a documented knowledge cutoff of 2024-04-01, while DeepSeek-V2.5's cutoff date is not specified.

We can confirm Granite 3.3 8B Base's training data extends to 2024-04-01, but cannot make a direct comparison without DeepSeek-V2.5's cutoff date.

DeepSeek-V2.5

Granite 3.3 8B Base

Apr 2024

Outputs Comparison

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Key Takeaways

Larger context window (8,192 tokens)
Higher Arena Hard score (76.2% vs 57.6%)
Higher GSM8k score (95.1% vs 59.0%)
Higher MMLU score (80.4% vs 63.9%)
Supports multimodal inputs
Higher AlpacaEval 2.0 score (62.7% vs 50.5%)
Higher HumanEval score (89.7% vs 89.0%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V2.5
IBM
Granite 3.3 8B Base

FAQ

Common questions about DeepSeek-V2.5 vs Granite 3.3 8B Base.

Which is better, DeepSeek-V2.5 or Granite 3.3 8B Base?

DeepSeek-V2.5 has a slight edge in benchmark performance. DeepSeek-V2.5 is made by DeepSeek and Granite 3.3 8B Base is made by IBM. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V2.5 compare to Granite 3.3 8B Base in benchmarks?

DeepSeek-V2.5 scores GSM8k: 95.1%, MT-Bench: 90.2%, HumanEval: 89.0%, BBH: 84.3%, AlignBench: 80.4%. Granite 3.3 8B Base scores HumanEval: 89.7%, AttaQ: 88.5%, HumanEval+: 86.1%, AIME 2024: 81.2%, HellaSwag: 80.1%.

What are the context window sizes for DeepSeek-V2.5 and Granite 3.3 8B Base?

DeepSeek-V2.5 supports 8K tokens and Granite 3.3 8B Base 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 Granite 3.3 8B Base?

Key differences include multimodal support (no vs yes), licensing (deepseek vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V2.5 and Granite 3.3 8B Base?

DeepSeek-V2.5 is developed by DeepSeek and Granite 3.3 8B Base is developed by IBM.