Model Comparison

DeepSeek-V3 vs Grok-1.5VWhich is better in 2026?

Comparing DeepSeek-V3 and Grok-1.5V across benchmarks, pricing, and capabilities.

Verdict: DeepSeek-V3 vs Grok-1.5V — which is better?

DeepSeek-V3 (by DeepSeek) and Grok-1.5V (by xAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose DeepSeek-V3 if…

  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose Grok-1.5V if…

  • you are already invested in the xAI ecosystem
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V3 and Grok-1.5Vdon'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-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-1.5V
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Grok-1.5V supports multimodal inputs, whereas DeepSeek-V3 does not.

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

DeepSeek-V3

Text
Images
Audio
Video

Grok-1.5V

Text
Images
Audio
Video

License

Usage and distribution terms

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

MIT + Model License (Commercial use allowed)

Open weights

Grok-1.5V

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while Grok-1.5V was released on 2024-04-12.

DeepSeek-V3 is 9 months newer than Grok-1.5V.

DeepSeek-V3

Dec 25, 2024

1.5 years ago

8mo newer
Grok-1.5V

Apr 12, 2024

2.2 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-V3
xAI
Grok-1.5V

FAQ

Common questions about DeepSeek-V3 vs Grok-1.5V.

Which is better, DeepSeek-V3 or Grok-1.5V?

DeepSeek-V3 (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-V3 compare to Grok-1.5V in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. 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-V3 and Grok-1.5V?

DeepSeek-V3 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-V3 and Grok-1.5V?

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.

Who makes DeepSeek-V3 and Grok-1.5V?

DeepSeek-V3 is developed by DeepSeek and Grok-1.5V is developed by xAI.

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