Model Comparison

DeepSeek-R1 vs Grok-2 mini

Comparing DeepSeek-R1 and Grok-2 mini across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Grok-2 mini don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
xAI
Grok-2 mini
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
xAI
Grok-2 mini
Input- tokens
Output- tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-2 mini supports multimodal inputs, whereas DeepSeek-R1 does not.

Grok-2 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-R1

Text
Images
Audio
Video

Grok-2 mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-R1 is licensed under MIT, while Grok-2 mini uses a proprietary license.

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

DeepSeek-R1

MIT

Open weights

Grok-2 mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Grok-2 mini was released on 2024-08-13.

DeepSeek-R1 is 5 months newer than Grok-2 mini.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

5mo newer
Grok-2 mini

Aug 13, 2024

1.6 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

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Key Takeaways

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

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
xAI
Grok-2 mini

FAQ

Common questions about DeepSeek-R1 vs Grok-2 mini

DeepSeek-R1 (DeepSeek) and Grok-2 mini (xAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Grok-2 mini scores DocVQA: 93.2%, MMLU: 86.2%, HumanEval: 85.7%, MATH: 73.0%, MMLU-Pro: 72.0%.
DeepSeek-R1 supports 131K tokens and Grok-2 mini 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 multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1 is developed by DeepSeek and Grok-2 mini is developed by xAI.