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DeepSeek-V3 vs Grok-2 mini

DeepSeek-V3 leads the LLM Stats Score 15.7 to 8.7.

DeepSeek · xAI · Updated for 2026

Which is better?

DeepSeek-V3 leads the overall LLM Stats Score 15.7 to 8.7, ranking #216 overall.

In the 3 individual benchmarks reported for both models, DeepSeek-V3 wins 3; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3

  • overall performance matters — it scores 15.7 and ranks #216 on LLM Stats
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose Grok-2 mini

  • you are already invested in the xAI ecosystem

At a glance

The differences that matter most.

Core performance indexes
15.7
#216
8.7
#263
14.8
#217
8.3
#265
6.5
#184
6.0
#187
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.27 / M
— / M
Output price
$1.10 / M
— / M
Context window
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
DeepSeek-V3
Grok-2 mini
18.2#175
16.0#204
20.1#79
15.8#113
20.1#64
15.8#97
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 8 for Grok-2 mini

3 shared

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.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.7 years ago

4mo newer
Grok-2 mini

Aug 13, 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

Judge for yourself.

Run your own prompts against DeepSeek-V3 and Grok-2 mini side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Grok-2 mini
Open in Playground

FAQ

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

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

DeepSeek-V3 leads the LLM Stats Score 15.7 to 8.7. DeepSeek-V3 is made by DeepSeek and Grok-2 mini is made by xAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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

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%.

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

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.

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

Key differences include LLM Stats Score (15.7 vs 8.7), multimodal support (no vs yes), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 and Grok-2 mini?

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