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Grok 4.7 vs Kimi K2 0905

Grok 4.7 leads the LLM Stats Score 48.5 to 21.6. Kimi K2 0905 is 2.8x cheaper per token.

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.

On price, Kimi K2 0905 is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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 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 process long inputs — it offers a 500,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Kimi K2 0905

  • cost matters — it's about 2.8x cheaper per token

At a glance

The differences that matter most.

Grok 4.7
xAI
Kimi K2 0905
Moonshot AI
Core performance indexes
LLM Stats Score
48.5
#23
21.6
#188
Reasoning
37.4
#69
22.0
#176
Coding
40.1
#13
19.4
#107
Cost, coverage & limits
Benchmark wins
—
—
Input price
$2.00 / M
$0.60 / M
Output price
$6.00 / M
$2.50 / M
Context window
500,000
262,144

Individual benchmarks

23 reported for Grok 4.7 · 6 for Kimi K2 0905

No common benchmarks found

Grok 4.7 and Kimi K2 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

Pricing Analysis

Price comparison per million tokens

Kimi K2 0905 costs less

For input processing, Grok 4.7 ($2.00/1M tokens) is 3.3x more expensive than Kimi K2 0905 ($0.60/1M tokens).

For output processing, Grok 4.7 ($6.00/1M tokens) is 2.4x more expensive than Kimi K2 0905 ($2.50/1M tokens).

In conclusion, Grok 4.7 is more expensive than Kimi K2 0905.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
xAI
Grok 4.7
Input tokens$2.00
Output tokens$6.00
Best providerxAI
Moonshot AI
Kimi K2 0905
Input tokens$0.60
Output tokens$2.50
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Grok 4.7 accepts 500,000 input tokens compared to Kimi K2 0905's 262,144 tokens. Only Kimi K2 0905 specifies output context (262,144 tokens).

xAI
Grok 4.7
Input500,000 tokens
Output- tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 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 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 0905

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Grok 4.7

Proprietary

Closed source

Kimi K2 0905

Proprietary

Closed source

Release Timeline

When each model was launched

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

Grok 4.7 is 13 months newer than Kimi K2 0905.

Grok 4.7

Sep 21, 2026

0 days ago

1.0yr newer
Kimi K2 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 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 0905's cutoff date.

Grok 4.7

Jun 2026

Kimi K2 0905

—

Provider Availability

Grok 4.7 is available from xAI. Kimi K2 0905 is available from Novita.

Grok 4.7

xai logo
xAI
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

Kimi K2 0905

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M
* 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 Grok 4.7 and Kimi K2 0905 side-by-side, then vote on the output you prefer.

Grok 4.7
✓ Preferred
Kimi K2 0905
Open in Playground

FAQ

Common questions about Grok 4.7 vs Kimi K2 0905.

Which is better, Grok 4.7 or Kimi K2 0905?

Grok 4.7 leads the LLM Stats Score 48.5 to 21.6. Grok 4.7 is made by xAI and Kimi K2 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 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 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.

Is Grok 4.7 cheaper than Kimi K2 0905?

Kimi K2 0905 is 3.3x cheaper for input tokens. Grok 4.7 costs $2.00/M input and $6.00/M output via xai. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita.

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

Grok 4.7 supports 500K tokens and Kimi K2 0905 supports 262K 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 0905?

Key differences include LLM Stats Score (48.5 vs 21.6), context window (500K vs 262K), input pricing ($2.00 vs $0.60/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok 4.7 and Kimi K2 0905?

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

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