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GPT-5.2 Pro vs Grok 4.7

GPT-5.2 Pro and Grok 4.7 are closely matched at 42.9 and 48.5 on the LLM Stats Score. Grok 4.7 is 19.3x cheaper per token.

OpenAI · xAI · Updated for 2026

Which is better?

GPT-5.2 Pro and Grok 4.7 are closely matched on the overall LLM Stats Score at 42.9 and 48.5.

On price, Grok 4.7 is roughly 19.3x 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 GPT-5.2 Pro

  • you want predictable pricing at $21.00/M input and $168.00/M output

Choose Grok 4.7

  • your work emphasizes agents — it leads those capability indexes
  • cost matters — it's about 19.3x cheaper per token
  • you process long inputs — it offers a 500,000 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
42.9
#47
48.5
#23
41.5
#50
37.4
#69
17.8
#74
36.1
#19
Cost, coverage & limits
Benchmark wins
Input price
$21.00 / M
$2.00 / M
Output price
$168.00 / M
$6.00 / M
Context window
400,000
500,000

Individual benchmarks

7 reported for GPT-5.2 Pro · 23 for Grok 4.7

No common benchmarks found

GPT-5.2 Pro 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

Pricing Analysis

Price comparison per million tokens

Grok 4.7 costs less

For input processing, GPT-5.2 Pro ($21.00/1M tokens) is 10.5x more expensive than Grok 4.7 ($2.00/1M tokens).

For output processing, GPT-5.2 Pro ($168.00/1M tokens) is 28.0x more expensive than Grok 4.7 ($6.00/1M tokens).

In conclusion, GPT-5.2 Pro is more expensive than Grok 4.7.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
OpenAI
GPT-5.2 Pro
Input tokens$21.00
Output tokens$168.00
Best providerOpenAI
xAI
Grok 4.7
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 4.7 accepts 500,000 input tokens compared to GPT-5.2 Pro's 400,000 tokens. Only GPT-5.2 Pro specifies output context (128,000 tokens).

OpenAI
GPT-5.2 Pro
Input400,000 tokens
Output128,000 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 GPT-5.2 Pro and Grok 4.7 support multimodal inputs.

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

GPT-5.2 Pro

Text
Images
Audio
Video

Grok 4.7

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.

GPT-5.2 Pro

Proprietary

Closed source

Grok 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.2 Pro was released on 2025-12-11, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 9 months newer than GPT-5.2 Pro.

GPT-5.2 Pro

Dec 11, 2025

9 months ago

Grok 4.7

Sep 21, 2026

1 days ago

9mo newer

Knowledge Cutoff

When training data ends

Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while GPT-5.2 Pro'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 GPT-5.2 Pro's cutoff date.

GPT-5.2 Pro

Grok 4.7

Jun 2026

Provider Availability

GPT-5.2 Pro is available from OpenAI. Grok 4.7 is available from xAI.

GPT-5.2 Pro

openai logo
OpenAI
Input Price:Input: $21.00/1MOutput Price:Output: $168.00/1M

Grok 4.7

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

Judge for yourself.

Run your own prompts against GPT-5.2 Pro and Grok 4.7 side-by-side, then vote on the output you prefer.

GPT-5.2 Pro
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about GPT-5.2 Pro vs Grok 4.7.

Which is better, GPT-5.2 Pro or Grok 4.7?

GPT-5.2 Pro and Grok 4.7 are closely matched on the LLM Stats Score at 42.9 and 48.5. GPT-5.2 Pro is made by OpenAI 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 GPT-5.2 Pro compare to Grok 4.7 in benchmarks?

GPT-5.2 Pro scores AIME 2025: 100.0%, HMMT 2025: 100.0%, GPQA: 93.2%, ARC-AGI: 90.5%, BrowseComp: 77.9%. Grok 4.7 scores BixBench MCQ: 88.4%, WMDP-Bio: 88.1%, WMDP-Cyber: 88.1%, WMDP-Chem: 84.9%, CyberGym: 80.3%.

Is GPT-5.2 Pro cheaper than Grok 4.7?

Grok 4.7 is 10.5x cheaper for input tokens. GPT-5.2 Pro costs $21.00/M input and $168.00/M output via openai. Grok 4.7 costs $2.00/M input and $6.00/M output via xai.

What are the context window sizes for GPT-5.2 Pro and Grok 4.7?

GPT-5.2 Pro supports 400K 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 GPT-5.2 Pro and Grok 4.7?

Key differences include LLM Stats Score (42.9 vs 48.5), context window (400K vs 500K), input pricing ($21.00 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.2 Pro and Grok 4.7?

GPT-5.2 Pro is developed by OpenAI and Grok 4.7 is developed by xAI.