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GPT-6 Luna vs Grok 4.7

GPT-6 Luna and Grok 4.7 are closely matched at 44.5 and 48.0 on the LLM Stats Score. GPT-6 Luna is 15.0x cheaper per token.

OpenAI · xAI · Updated for 2026

Which is better?

GPT-6 Luna and Grok 4.7 are closely matched on the overall LLM Stats Score at 44.5 and 48.0.

In the 1 individual benchmarks reported for both models, Grok 4.7 wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, GPT-6 Luna is roughly 15.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Luna also accepts a larger context window (1,050,000 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-6 Luna

  • cost matters — it's about 15.0x cheaper per token
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Grok 4.7

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
Grok 4.7
xAI
Core performance indexes
LLM Stats Score
44.5
#41
48.0
#25
Reasoning
40.0
#58
37.1
#74
Coding
31.4
#47
39.6
#14
Agents
31.8
#30
35.5
#21
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.10 / M
$2.00 / M
Output price
$0.50 / M
$6.00 / M
Context window
1,050,000
500,000

Individual benchmarks

5 reported for GPT-6 Luna · 23 for Grok 4.7

1 shared

GPT-6 Luna outperforms in 0 benchmarks, while Grok 4.7 is better at 1 benchmark (DeepSWE 1.1).

Grok 4.7 significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT-6 Luna costs less

For input processing, GPT-6 Luna ($0.10/1M tokens) is 20.0x cheaper than Grok 4.7 ($2.00/1M tokens).

For output processing, GPT-6 Luna ($0.50/1M tokens) is 12.0x cheaper than Grok 4.7 ($6.00/1M tokens).

In conclusion, Grok 4.7 is more expensive than GPT-6 Luna.*

* 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-6 Luna
Input tokens$0.10
Output tokens$0.50
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

GPT-6 Luna accepts 1,050,000 input tokens compared to Grok 4.7's 500,000 tokens. Only GPT-6 Luna specifies output context (128,000 tokens).

OpenAI
GPT-6 Luna
Input1,050,000 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-6 Luna and Grok 4.7 support multimodal inputs.

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

GPT-6 Luna

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-6 Luna

Proprietary

Closed source

Grok 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Grok 4.7 was released on 2026-09-21.

GPT-6 Luna is 0 month newer than Grok 4.7.

GPT-6 Luna

Sep 22, 2026

0 days ago

1d newer
Grok 4.7

Sep 21, 2026

1 days ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a knowledge cutoff of 2026-05-18, 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-6 Luna (2026-05-18).

GPT-6 Luna

May 2026

Grok 4.7

Jun 2026

1 mo newer

Provider Availability

GPT-6 Luna is available from OpenAI. Grok 4.7 is available from xAI.

GPT-6 Luna

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

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-6 Luna and Grok 4.7 side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
Grok 4.7
Open in Playground

FAQ

Common questions about GPT-6 Luna vs Grok 4.7.

Which is better, GPT-6 Luna or Grok 4.7?

GPT-6 Luna and Grok 4.7 are closely matched on the LLM Stats Score at 44.5 and 48.0. GPT-6 Luna 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-6 Luna compare to Grok 4.7 in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. 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-6 Luna cheaper than Grok 4.7?

GPT-6 Luna is 20.0x cheaper for input tokens. GPT-6 Luna costs $0.10/M input and $0.50/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-6 Luna and Grok 4.7?

GPT-6 Luna supports 1.1M 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-6 Luna and Grok 4.7?

Key differences include LLM Stats Score (44.5 vs 48.0), context window (1.1M vs 500K), input pricing ($0.10 vs $2.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and Grok 4.7?

GPT-6 Luna is developed by OpenAI and Grok 4.7 is developed by xAI.

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