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Grok 4 Fast vs GPT-5.6 Luna

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

Grok 4 Fast Cost
$0.30
GPT-5.6 Luna Cost
$0.44
Grok 4 Fast is 32% cheaper
FeatureGrok 4 FastGPT-5.6 Luna
ProviderxAIOpenAI
Input Price (1M)$0.20$0.20
Output Price (1M)$0.50$1.20
Context Window2,000,0001,000,000

Verdict

Grok 4 Fast costs $0.20 per 1M input tokens and $0.50 per 1M output tokens. GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens. Grok 4 Fast and GPT-5.6 Luna have identical input token pricing. For output tokens, Grok 4 Fast is the more affordable option at $0.50/1M vs $1.20.

On context window, Grok 4 Fast supports 2,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.

When to choose Grok 4 Fast

  • ✓ Your workload is output-heavy — Grok 4 Fast generates text cheaper
  • ✓ You need a larger context window (2,000,000 tokens)
  • ✓ You are already integrated with xAI

When to choose GPT-5.6 Luna

  • ✓ You are already integrated with OpenAI

Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.

Frequently Asked Questions

Is Grok 4 Fast cheaper than GPT-5.6 Luna?

Grok 4 Fast and GPT-5.6 Luna have identical input token pricing at $0.20/1M tokens.

What is the context window of Grok 4 Fast vs GPT-5.6 Luna?

Grok 4 Fast has a 2,000,000-token context window. GPT-5.6 Luna has a 1,000,000-token context window. Grok 4 Fast supports the larger context, suitable for longer documents and agentic workflows.

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

The best choice depends on your use case. For cost efficiency on input tokens, Grok 4 Fast is the cheaper option. For maximum context length, Grok 4 Fast supports 2,000,000 tokens. Use the comparison table above to find the right fit for your workload.