Model Comparison

DeepSeek-R1-0528 vs Grok-1.5V

Comparing DeepSeek-R1-0528 and Grok-1.5V across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1-0528 and Grok-1.5V don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
xAI
Grok-1.5V
Input- tokens
Output- tokens
Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-1.5V supports multimodal inputs, whereas DeepSeek-R1-0528 does not.

Grok-1.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1-0528

Text
Images
Audio
Video

Grok-1.5V

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while Grok-1.5V uses a proprietary license.

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

DeepSeek-R1-0528

MIT

Open weights

Grok-1.5V

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while Grok-1.5V was released on 2024-04-12.

DeepSeek-R1-0528 is 14 months newer than Grok-1.5V.

DeepSeek-R1-0528

May 28, 2025

11 months ago

1.1yr newer
Grok-1.5V

Apr 12, 2024

2.1 years ago

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

DeepSeek
Larger context window (131,072 tokens)
Has open weights
xAI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
xAI
Grok-1.5V

FAQ

Common questions about DeepSeek-R1-0528 vs Grok-1.5V.

Which is better, DeepSeek-R1-0528 or Grok-1.5V?

DeepSeek-R1-0528 (DeepSeek) and Grok-1.5V (xAI) 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-R1-0528 compare to Grok-1.5V in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. Grok-1.5V scores AI2D: 88.3%, DocVQA: 85.6%, TextVQA: 78.1%, ChartQA: 76.1%, RealWorldQA: 68.7%.

What are the context window sizes for DeepSeek-R1-0528 and Grok-1.5V?

DeepSeek-R1-0528 supports 131K tokens and Grok-1.5V 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-R1-0528 and Grok-1.5V?

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

Who makes DeepSeek-R1-0528 and Grok-1.5V?

DeepSeek-R1-0528 is developed by DeepSeek and Grok-1.5V is developed by xAI.