Model Comparison

DeepSeek-V3.1 vs Grok-2 mini

DeepSeek-V3.1 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.1 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Grok-2 mini is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Sat May 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.1 specifies input context (163,840 tokens). Only DeepSeek-V3.1 specifies output context (163,840 tokens).

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
xAI
Grok-2 mini
Input- tokens
Output- tokens
Sat May 09 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-2 mini supports multimodal inputs, whereas DeepSeek-V3.1 does not.

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

DeepSeek-V3.1

Text
Images
Audio
Video

Grok-2 mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.1 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-V3.1

MIT

Open weights

Grok-2 mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Grok-2 mini was released on 2024-08-13.

DeepSeek-V3.1 is 5 months newer than Grok-2 mini.

DeepSeek-V3.1

Jan 10, 2025

1.3 years ago

5mo newer
Grok-2 mini

Aug 13, 2024

1.7 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 (163,840 tokens)
Has open weights
Higher GPQA score (74.9% vs 51.0%)
Higher MMLU-Pro score (83.7% vs 72.0%)
xAI
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
xAI
Grok-2 mini

FAQ

Common questions about DeepSeek-V3.1 vs Grok-2 mini.

Which is better, DeepSeek-V3.1 or Grok-2 mini?

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and Grok-2 mini is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.1 compare to Grok-2 mini in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Grok-2 mini scores DocVQA: 93.2%, MMLU: 86.2%, HumanEval: 85.7%, MATH: 73.0%, MMLU-Pro: 72.0%.

What are the context window sizes for DeepSeek-V3.1 and Grok-2 mini?

DeepSeek-V3.1 supports 164K 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.

What are the main differences between DeepSeek-V3.1 and Grok-2 mini?

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-V3.1 and Grok-2 mini?

DeepSeek-V3.1 is developed by DeepSeek and Grok-2 mini is developed by xAI.