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DeepSeek VL2 vs Grok 4.7

Grok 4.7 leads the LLM Stats Score 48.5 to 2.9.

DeepSeek · xAI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 2.9, ranking #23 overall.

Grok 4.7 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek VL2

  • you need open weights you can self-host or fine-tune

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 500,000 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek VL2
DeepSeek
Grok 4.7
xAI
Core performance indexes
LLM Stats Score
2.9
#314
48.5
#23
Reasoning
-1.9
#332
37.4
#69
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
129,280
500,000

Individual benchmarks

14 reported for DeepSeek VL2 · 23 for Grok 4.7

No common benchmarks found

DeepSeek VL2 and Grok 4.7don'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

Grok 4.7 accepts 500,000 input tokens compared to DeepSeek VL2's 129,280 tokens. Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek VL2 and Grok 4.7 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek VL2

Text
Images
Audio
Video

Grok 4.7

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while Grok 4.7 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek VL2

deepseek

Open weights

Grok 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 22 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.8 years ago

Grok 4.7

Sep 21, 2026

1 days ago

1.8yr newer

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while DeepSeek VL2's cutoff date is not specified.

We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without DeepSeek VL2's cutoff date.

DeepSeek VL2

—

Grok 4.7

Jun 2026

Provider Availability

DeepSeek VL2 is available from Replicate. Grok 4.7 is available from xAI.

DeepSeek VL2

replicate logo
Replicate

Grok 4.7

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek VL2 and Grok 4.7 side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs Grok 4.7.

Which is better, DeepSeek VL2 or Grok 4.7?

Grok 4.7 leads the LLM Stats Score 48.5 to 2.9. DeepSeek VL2 is made by DeepSeek and Grok 4.7 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 VL2 compare to Grok 4.7 in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%.

What are the context window sizes for DeepSeek VL2 and Grok 4.7?

DeepSeek VL2 supports 129K tokens and Grok 4.7 supports 500K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 and Grok 4.7?

Key differences include LLM Stats Score (2.9 vs 48.5), context window (129K vs 500K), licensing (deepseek vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and Grok 4.7?

DeepSeek VL2 is developed by DeepSeek and Grok 4.7 is developed by xAI.

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