Model Comparison

Kimi K2.7 Code vs Grok 4.5Which is better in 2026?

Comparing Kimi K2.7 Code and Grok 4.5 across benchmarks, pricing, and capabilities.

Verdict: Kimi K2.7 Code vs Grok 4.5 — which is better?

Kimi K2.7 Code (by Moonshot AI) and Grok 4.5 (by xAI) 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.

On price, Kimi K2.7 Code is roughly 2.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Grok 4.5 also accepts a larger context window (500,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Kimi K2.7 Code if…

  • cost matters — it's about 2.1x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Grok 4.5 if…

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

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Kimi K2.7 Code and Grok 4.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Kimi K2.7 Code costs less

For input processing, Kimi K2.7 Code ($0.74/1M tokens) is 2.7x cheaper than Grok 4.5 ($2.00/1M tokens).

For output processing, Kimi K2.7 Code ($3.50/1M tokens) is 1.7x cheaper than Grok 4.5 ($6.00/1M tokens).

In conclusion, Grok 4.5 is more expensive than Kimi K2.7 Code.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Moonshot AI
Kimi K2.7 Code
Input tokens$0.74
Output tokens$3.50
Best providerDeepinfra
xAI
Grok 4.5
Input tokens$2.00
Output tokens$6.00
Best providerxAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Grok 4.5 accepts 500,000 input tokens compared to Kimi K2.7 Code's 262,144 tokens. Only Kimi K2.7 Code specifies output context (131,072 tokens).

Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output131,072 tokens
xAI
Grok 4.5
Input500,000 tokens
Output- tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Kimi K2.7 Code and Grok 4.5 support multimodal inputs.

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

Kimi K2.7 Code

Text
Images
Audio
Video

Grok 4.5

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.7 Code is licensed under Modified MIT License, while Grok 4.5 uses a proprietary license.

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

Kimi K2.7 Code

Modified MIT License

Open weights

Grok 4.5

Proprietary

Closed source

Release Timeline

When each model was launched

Kimi K2.7 Code was released on 2026-06-12, while Grok 4.5 was released on 2026-07-08.

Grok 4.5 is 1 month newer than Kimi K2.7 Code.

Kimi K2.7 Code

Jun 12, 2026

1 months ago

Grok 4.5

Jul 8, 2026

1 weeks ago

3w newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Kimi K2.7 Code is available from DeepInfra, Fireworks, Moonshot AI, Novita, Together. Grok 4.5 is available from xAI.

Kimi K2.7 Code

deepinfra logo
Deepinfra
Input Price:Input: $0.74/1MOutput Price:Output: $3.50/1M
fireworks logo
Fireworks
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
novita logo
Novita
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M
together logo
Together
Input Price:Input: $0.95/1MOutput Price:Output: $4.00/1M

Grok 4.5

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→

Key Takeaways

Moonshot AI
Less expensive input tokens
Less expensive output tokens
Has open weights
xAI
Larger context window (500,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Kimi K2.7 Code and Grok 4.5 side-by-side, then vote on the output you prefer.

Kimi K2.7 Code
✓ Preferred
Grok 4.5
Open in Playground
AI Model Comparison Table
Feature
Moonshot AI
Kimi K2.7 Code
xAI
Grok 4.5

FAQ

Common questions about Kimi K2.7 Code vs Grok 4.5.

Which is better, Kimi K2.7 Code or Grok 4.5?

Kimi K2.7 Code (Moonshot AI) and Grok 4.5 (xAI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Kimi K2.7 Code compare to Grok 4.5 in benchmarks?

Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%. Grok 4.5 scores GPQA: 93.0%, Terminal-Bench 2.1: 83.3%, Artificial Analysis Coding Agent Index v1.1: 76.0%, SWE-Bench Pro: 64.7%, AA-Omniscience Index: 63.0%.

Is Kimi K2.7 Code cheaper than Grok 4.5?

Kimi K2.7 Code is 2.7x cheaper for input tokens. Kimi K2.7 Code costs $0.74/M input and $3.50/M output via deepinfra. Grok 4.5 costs $2.00/M input and $6.00/M output via xai.

What are the context window sizes for Kimi K2.7 Code and Grok 4.5?

Kimi K2.7 Code supports 262K tokens and Grok 4.5 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 Kimi K2.7 Code and Grok 4.5?

Key differences include context window (262K vs 500K), input pricing ($0.74 vs $2.00/M), licensing (Modified MIT License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.7 Code and Grok 4.5?

Kimi K2.7 Code is developed by Moonshot AI and Grok 4.5 is developed by xAI.

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