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GPT-5.3 Chat vs Grok 4.7

Grok 4.7 leads the LLM Stats Score 48.5 to 29.5. Grok 4.7 is 1.6x cheaper per token.

OpenAI · xAI · Updated for 2026

Which is better?

Grok 4.7 leads the overall LLM Stats Score 48.5 to 29.5, ranking #23 overall.

On price, Grok 4.7 is roughly 1.6x 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-5.3 Chat

  • you want predictable pricing at $1.75/M input and $14.00/M output

Choose Grok 4.7

  • overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
  • cost matters — it's about 1.6x 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.

GPT-5.3 Chat
OpenAI
Grok 4.7
xAI
Core performance indexes
LLM Stats Score
29.5
#130
48.5
#23
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.75 / M
$2.00 / M
Output price
$14.00 / M
$6.00 / M
Context window
128,000
500,000

Individual benchmarks

2 reported for GPT-5.3 Chat · 23 for Grok 4.7

No common benchmarks found

GPT-5.3 Chat 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-5.3 Chat ($1.75/1M tokens) is 1.1x cheaper than Grok 4.7 ($2.00/1M tokens).

For output processing, GPT-5.3 Chat ($14.00/1M tokens) is 2.3x more expensive than Grok 4.7 ($6.00/1M tokens).

In conclusion, GPT-5.3 Chat 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-5.3 Chat
Input tokens$1.75
Output tokens$14.00
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-5.3 Chat's 128,000 tokens. Only GPT-5.3 Chat specifies output context (16,384 tokens).

OpenAI
GPT-5.3 Chat
Input128,000 tokens
Output16,384 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-5.3 Chat and Grok 4.7 support multimodal inputs.

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

GPT-5.3 Chat

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-5.3 Chat

Proprietary

Closed source

Grok 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.3 Chat was released on 2026-03-04, while Grok 4.7 was released on 2026-09-21.

Grok 4.7 is 7 months newer than GPT-5.3 Chat.

GPT-5.3 Chat

Mar 4, 2026

6 months ago

Grok 4.7

Sep 21, 2026

1 days ago

6mo newer

Knowledge Cutoff

When training data ends

GPT-5.3 Chat has a knowledge cutoff of 2025-08-31, while Grok 4.7 has a cutoff of 2026-06-01.

Grok 4.7 has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to GPT-5.3 Chat (2025-08-31).

GPT-5.3 Chat

Aug 2025

Grok 4.7

Jun 2026

10 mo newer

Provider Availability

GPT-5.3 Chat is available from OpenAI. Grok 4.7 is available from xAI.

GPT-5.3 Chat

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

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-5.3 Chat and Grok 4.7 side-by-side, then vote on the output you prefer.

GPT-5.3 Chat
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about GPT-5.3 Chat vs Grok 4.7.

Which is better, GPT-5.3 Chat or Grok 4.7?

Grok 4.7 leads the LLM Stats Score 48.5 to 29.5. GPT-5.3 Chat 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-5.3 Chat compare to Grok 4.7 in benchmarks?

GPT-5.3 Chat scores HealthBench: 54.1%, HealthBench Hard: 25.9%. 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-5.3 Chat cheaper than Grok 4.7?

GPT-5.3 Chat is 1.1x cheaper for input tokens. GPT-5.3 Chat costs $1.75/M input and $14.00/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-5.3 Chat and Grok 4.7?

GPT-5.3 Chat supports 128K 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-5.3 Chat and Grok 4.7?

Key differences include LLM Stats Score (29.5 vs 48.5), context window (128K vs 500K), input pricing ($1.75 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.3 Chat and Grok 4.7?

GPT-5.3 Chat is developed by OpenAI and Grok 4.7 is developed by xAI.

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