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DeepSeek-V3 vs Grok-1.5V

DeepSeek-V3 leads the LLM Stats Score 16.0 to -0.3.

DeepSeek · xAI · Updated for 2026

Which is better?

DeepSeek-V3 leads the overall LLM Stats Score 16.0 to -0.3, ranking #208 overall.

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

Choose DeepSeek-V3

  • overall performance matters — it scores 16.0 and ranks #208 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • 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

  • you are already invested in the xAI ecosystem

At a glance

The differences that matter most.

Core performance indexes
16.0
#208
-0.3
#310
15.0
#207
0.3
#298
Cost, coverage & limits
Benchmark wins
Input price
$0.27 / M
— / M
Output price
$1.10 / M
— / M
Context window
131,072

Individual benchmarks

20 reported for DeepSeek-V3 · 7 for Grok-1.5V

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.

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-1.5V
Input- tokens
Output- tokens
Sun Aug 30 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

1.7 years ago

8mo newer
Grok-1.5V

Apr 12, 2024

2.4 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-1.5V side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
Grok-1.5V
Open in Playground

FAQ

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

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

DeepSeek-V3 leads the LLM Stats Score 16.0 to -0.3. DeepSeek-V3 is made by DeepSeek and Grok-1.5V 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-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 LLM Stats Score (16.0 vs -0.3), 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.