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Grok 4.7 vs Kimi K2-Instruct-0905

Grok 4.7 leads the LLM Stats Score 48.5 to 21.6.

xAI · Moonshot AI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 21.6, ranking #23 overall.

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

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

Choose Kimi K2-Instruct-0905

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

At a glance

The differences that matter most.

Grok 4.7
xAI
Kimi K2-Instruct-0905
Moonshot AI
Core performance indexes
LLM Stats Score
48.5
#23
21.6
#189
Reasoning
37.4
#69
21.8
#179
Coding
40.1
#13
9.7
#172
Agents
36.1
#19
-4.2
#183
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
500,000
—

Individual benchmarks

23 reported for Grok 4.7 · 29 for Kimi K2-Instruct-0905

No common benchmarks found

Grok 4.7 and Kimi K2-Instruct-0905don'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).

xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Grok 4.7 supports multimodal inputs, whereas Kimi K2-Instruct-0905 does not.

Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok 4.7

Text
Images
Audio
Video

Kimi K2-Instruct-0905

Text
Images
Audio
Video

License

Usage and distribution terms

Grok 4.7 is licensed under a proprietary license, while Kimi K2-Instruct-0905 uses MIT.

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

Grok 4.7

Proprietary

Closed source

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Grok 4.7 was released on 2026-09-21, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Grok 4.7 is 13 months newer than Kimi K2-Instruct-0905.

Grok 4.7

Sep 21, 2026

1 days ago

1.0yr newer
Kimi K2-Instruct-0905

Sep 5, 2025

1.0 years ago

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while Kimi K2-Instruct-0905'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 Kimi K2-Instruct-0905's cutoff date.

Grok 4.7

Jun 2026

Kimi K2-Instruct-0905

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Grok 4.7 and Kimi K2-Instruct-0905 side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Kimi K2-Instruct-0905
Open in Playground

FAQ

Common questions about Grok 4.7 vs Kimi K2-Instruct-0905.

Which is better, Grok 4.7 or Kimi K2-Instruct-0905?

Grok 4.7 leads the LLM Stats Score 48.5 to 21.6. Grok 4.7 is made by xAI and Kimi K2-Instruct-0905 is made by Moonshot AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Grok 4.7 compare to Kimi K2-Instruct-0905 in benchmarks?

Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for Grok 4.7 and Kimi K2-Instruct-0905?

Grok 4.7 supports 500K tokens and Kimi K2-Instruct-0905 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 Grok 4.7 and Kimi K2-Instruct-0905?

Key differences include LLM Stats Score (48.5 vs 21.6), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Kimi K2-Instruct-0905?

Grok 4.7 is developed by xAI and Kimi K2-Instruct-0905 is developed by Moonshot AI.

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