Model Comparison

DeepSeek-V3 vs Grok-2 mini

DeepSeek-V3 significantly outperforms across most benchmarks.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 outperforms in 3 benchmarks (GPQA, MMLU, MMLU-Pro), while Grok-2 mini is better at 0 benchmarks.

DeepSeek-V3 significantly outperforms across most benchmarks.

Fri Apr 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Fri Apr 10 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
xAI
Grok-2 mini
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only DeepSeek-V3 specifies input context (131,072 tokens). Only DeepSeek-V3 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
xAI
Grok-2 mini
Input- tokens
Output- tokens
Fri Apr 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

DeepSeek-V3

Text
Images
Audio
Video

Grok-2 mini

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), 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

MIT + Model License (Commercial use allowed)

Open weights

Grok-2 mini

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Grok-2 mini was released on 2024-08-13.

DeepSeek-V3 is 4 months newer than Grok-2 mini.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

4mo 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 (131,072 tokens)
Has open weights
Higher GPQA score (59.1% vs 51.0%)
Higher MMLU score (88.5% vs 86.2%)
Higher MMLU-Pro score (75.9% vs 72.0%)
xAI
Supports multimodal inputs

Detailed Comparison

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

FAQ

Common questions about DeepSeek-V3 vs Grok-2 mini

DeepSeek-V3 significantly outperforms across most benchmarks. DeepSeek-V3 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.
DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. Grok-2 mini scores DocVQA: 93.2%, MMLU: 86.2%, HumanEval: 85.7%, MATH: 73.0%, MMLU-Pro: 72.0%.
DeepSeek-V3 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 + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 is developed by DeepSeek and Grok-2 mini is developed by xAI.