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Command A+ vs Grok 4.7

Grok 4.7 leads the LLM Stats Score 48.5 to 24.0.

Cohere · xAI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 24.0, ranking #23 overall.

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

Choose Command A+

  • 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 and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Command A+
Cohere
Grok 4.7
xAI
Core performance indexes
LLM Stats Score
24.0
#171
48.5
#23
Reasoning
21.5
#182
37.4
#69
Coding
7.3
#188
40.1
#13
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$2.00 / M
Output price
— / M
$6.00 / M
Context window
—
500,000

Individual benchmarks

15 reported for Command A+ · 23 for Grok 4.7

No common benchmarks found

Command A+ 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

Only Grok 4.7 specifies input context (500,000 tokens).

Cohere
Command A+
Input- tokens
Output- 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 Command A+ and Grok 4.7 support multimodal inputs.

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

Command A+

Text
Images
Audio
Video

Grok 4.7

Text
Images
Audio
Video

License

Usage and distribution terms

Command A+ is licensed under Apache 2.0, while Grok 4.7 uses a proprietary license.

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

Command A+

Apache 2.0

Open weights

Grok 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

Command A+ was released on 2026-05-20, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 4 months newer than Command A+.

Command A+

May 20, 2026

4 months ago

Grok 4.7

Sep 21, 2026

0 days ago

4mo newer

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Command A+'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 Command A+'s cutoff date.

Command A+

—

Grok 4.7

Jun 2026

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

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

Command A+
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about Command A+ vs Grok 4.7.

Which is better, Command A+ or Grok 4.7?

Grok 4.7 leads the LLM Stats Score 48.5 to 24.0. Command A+ is made by Cohere 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 Command A+ compare to Grok 4.7 in benchmarks?

Command A+ scores AIME 2025: 90.0%, CharXiv-D: 88.0%, MT-AIME 2025: 86.0%, Tau2 Telecom: 85.0%, WMT24++: 81.0%. 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 Command A+ and Grok 4.7?

Command A+ supports an unknown number of 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 Command A+ and Grok 4.7?

Key differences include LLM Stats Score (24.0 vs 48.5), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Command A+ and Grok 4.7?

Command A+ is developed by Cohere and Grok 4.7 is developed by xAI.

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