Model Comparison

GPT-5.6 Luna vs Grok 4 FastWhich is better in 2026?

GPT-5.6 Luna significantly outperforms across most benchmarks. Grok 4 Fast is 8.2x cheaper per token.

Verdict: GPT-5.6 Luna vs Grok 4 Fast — which is better?

GPT-5.6 Luna (by OpenAI) and Grok 4 Fast (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.

GPT-5.6 Luna outperforms in 2 benchmarks (BrowseComp, GPQA), while Grok 4 Fast is better at 0 benchmarks. GPT-5.6 Luna significantly outperforms across most benchmarks.

On price, Grok 4 Fast is roughly 8.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Grok 4 Fast also accepts a larger context window (2,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.6 Luna if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2026

Choose Grok 4 Fast if…

  • cost matters — it's about 8.2x cheaper per token
  • you process long inputs — it offers a 2,000,000 token context window

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5.6 Luna outperforms in 2 benchmarks (BrowseComp, GPQA), while Grok 4 Fast is better at 0 benchmarks.

GPT-5.6 Luna significantly outperforms across most benchmarks.

Tue Jul 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Grok 4 Fast costs less

For input processing, GPT-5.6 Luna ($1.00/1M tokens) is 5.0x more expensive than Grok 4 Fast ($0.20/1M tokens).

For output processing, GPT-5.6 Luna ($6.00/1M tokens) is 12.0x more expensive than Grok 4 Fast ($0.50/1M tokens).

In conclusion, GPT-5.6 Luna is more expensive than Grok 4 Fast.*

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

Lowest available price from all providers
Tue Jul 21 2026 • llm-stats.com
OpenAI
GPT-5.6 Luna
Input tokens$1.00
Output tokens$6.00
Best providerOpenAI
xAI
Grok 4 Fast
Input tokens$0.20
Output tokens$0.50
Best providerxAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Grok 4 Fast accepts 2,000,000 input tokens compared to GPT-5.6 Luna's 1,050,000 tokens. GPT-5.6 Luna can generate longer responses up to 128,000 tokens, while Grok 4 Fast is limited to 30,000 tokens.

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
xAI
Grok 4 Fast
Input2,000,000 tokens
Output30,000 tokens
Tue Jul 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.6 Luna and Grok 4 Fast support multimodal inputs.

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

GPT-5.6 Luna

Text
Images
Audio
Video

Grok 4 Fast

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-5.6 Luna

Proprietary

Closed source

Grok 4 Fast

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Grok 4 Fast was released on 2025-08-28.

GPT-5.6 Luna is 11 months newer than Grok 4 Fast.

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

10mo newer
Grok 4 Fast

Aug 28, 2025

10 months ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Grok 4 Fast's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Grok 4 Fast's cutoff date.

GPT-5.6 Luna

Feb 2026

Grok 4 Fast

Provider Availability

GPT-5.6 Luna is available from OpenAI. Grok 4 Fast is available from xAI.

GPT-5.6 Luna

openai logo
OpenAI
Input Price:Input: $1.00/1MOutput Price:Output: $6.00/1M

Grok 4 Fast

xai logo
xAI
Input Price:Input: $0.20/1MOutput Price:Output: $0.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Higher BrowseComp score (83.3% vs 44.9%)
Higher GPQA score (92.3% vs 85.7%)
Larger context window (2,000,000 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and Grok 4 Fast side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Grok 4 Fast
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Luna
xAI
Grok 4 Fast

FAQ

Common questions about GPT-5.6 Luna vs Grok 4 Fast.

Which is better, GPT-5.6 Luna or Grok 4 Fast?

GPT-5.6 Luna significantly outperforms across most benchmarks. GPT-5.6 Luna is made by OpenAI and Grok 4 Fast is made by xAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.6 Luna compare to Grok 4 Fast in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. Grok 4 Fast scores SimpleQA: 95.0%, HMMT 2025: 93.3%, AIME 2025: 92.0%, GPQA: 85.7%, LiveCodeBench: 80.0%.

Is GPT-5.6 Luna cheaper than Grok 4 Fast?

Grok 4 Fast is 5.0x cheaper for input tokens. GPT-5.6 Luna costs $1.00/M input and $6.00/M output via openai. Grok 4 Fast costs $0.20/M input and $0.50/M output via xai.

What are the context window sizes for GPT-5.6 Luna and Grok 4 Fast?

GPT-5.6 Luna supports 1.1M tokens and Grok 4 Fast supports 2.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.6 Luna and Grok 4 Fast?

Key differences include context window (1.1M vs 2.0M), input pricing ($1.00 vs $0.20/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Luna and Grok 4 Fast?

GPT-5.6 Luna is developed by OpenAI and Grok 4 Fast is developed by xAI.