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GPT-5.6 Luna vs Grok 3 Mini

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.6 Luna Cost
$0.44
Grok 3 Mini Cost
$0.40
Grok 3 Mini is 9% cheaper
FeatureGPT-5.6 LunaGrok 3 Mini
ProviderOpenAIxAI
Input Price (1M)$0.20$0.30
Output Price (1M)$1.20$0.50
Context Window1,000,000131,000

Verdict

GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens. Grok 3 Mini costs $0.30 per 1M input tokens and $0.50 per 1M output tokens. GPT-5.6 Luna is 33% cheaper on input tokens than Grok 3 Mini. For output tokens, Grok 3 Mini is the more affordable option at $0.50/1M vs $1.20.

On context window, GPT-5.6 Luna supports 1,000,000 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 GPT-5.6 Luna

  • ✓ You need the lowest input token cost ($ 0.20/1M)
  • ✓ You need a larger context window (1,000,000 tokens)
  • ✓ You are already integrated with OpenAI

When to choose Grok 3 Mini

  • ✓ Your workload is output-heavy — Grok 3 Mini generates text cheaper
  • ✓ You are already integrated with xAI

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 GPT-5.6 Luna cheaper than Grok 3 Mini?

GPT-5.6 Luna is cheaper on input tokens at $0.20/1M vs $0.30/1M for Grok 3 Mini — a 33% saving.

What is the context window of GPT-5.6 Luna vs Grok 3 Mini?

GPT-5.6 Luna has a 1,000,000-token context window. Grok 3 Mini has a 131,000-token context window. GPT-5.6 Luna supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.6 Luna or Grok 3 Mini?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-5.6 Luna is the cheaper option. For maximum context length, GPT-5.6 Luna supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.