Model Comparison
Grok-4 vs Kimi K2 InstructWhich is better in 2026?
Grok-4 significantly outperforms across most benchmarks. Kimi K2 Instruct is 12.0x cheaper per token.
Verdict: Grok-4 vs Kimi K2 Instruct — which is better?
Grok-4 (by xAI) and Kimi K2 Instruct (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Grok-4 outperforms in 3 benchmarks (AIME 2025, GPQA, Humanity's Last Exam), while Kimi K2 Instruct is better at 0 benchmarks. Grok-4 significantly outperforms across most benchmarks.
On price, Kimi K2 Instruct is roughly 12.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok-4 also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Grok-4 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 256,000 token context window
Choose Kimi K2 Instruct if…
- cost matters — it's about 12.0x cheaper per token
- you want the most recent training data — it shipped Jul 2025
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Grok-4 outperforms in 3 benchmarks (AIME 2025, GPQA, Humanity's Last Exam), while Kimi K2 Instruct is better at 0 benchmarks.
Grok-4 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Grok-4 ($3.00/1M tokens) is 6.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).
For output processing, Grok-4 ($15.00/1M tokens) is 30.0x more expensive than Kimi K2 Instruct ($0.50/1M tokens).
In conclusion, Grok-4 is more expensive than Kimi K2 Instruct.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok-4 accepts 256,000 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while Grok-4 is limited to 8,000 tokens.
Input Capabilities
Supported data types and modalities
Grok-4 supports multimodal inputs, whereas Kimi K2 Instruct does not.
Grok-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-4
Kimi K2 Instruct
License
Usage and distribution terms
Grok-4 is licensed under a proprietary license, while Kimi K2 Instruct uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Grok-4 was released on 2025-07-09, while Kimi K2 Instruct was released on 2025-07-11.
Kimi K2 Instruct is 0 month newer than Grok-4.
Jul 9, 2025
1.0 years ago
Jul 11, 2025
1.0 years ago
2d newerKnowledge Cutoff
When training data ends
Grok-4 has a documented knowledge cutoff of 2024-12-31, while Kimi K2 Instruct's cutoff date is not specified.
We can confirm Grok-4's training data extends to 2024-12-31, but cannot make a direct comparison without Kimi K2 Instruct's cutoff date.
Dec 2024
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Provider Availability
Grok-4 is available from xAI. Kimi K2 Instruct is available from Fireworks, Novita.
Grok-4
Kimi K2 Instruct
Outputs Comparison
Key Takeaways
Kimi K2 Instruct
View detailsMoonshot AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Grok-4 and Kimi K2 Instruct side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Grok-4 vs Kimi K2 Instruct.