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GPT-5.5 Pro vs Grok 4.20 Beta

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5.5 Pro Cost
$66.00
Grok 4.20 Beta Cost
$1.75
Grok 4.20 Beta is 97% cheaper
FeatureGPT-5.5 ProGrok 4.20 Beta
ProviderOpenAIxAI
Input Price (1M)$30.00$1.25
Output Price (1M)$180.00$2.50
Context Window1,000,0001,000,000

Verdict

GPT-5.5 Pro costs $30.00 per 1M input tokens and $180.00 per 1M output tokens. Grok 4.20 Beta costs $1.25 per 1M input tokens and $2.50 per 1M output tokens. Grok 4.20 Beta is 96% cheaper on input tokens than GPT-5.5 Pro. For output tokens, Grok 4.20 Beta is the more affordable option at $2.50/1M vs $180.00.

On context window, GPT-5.5 Pro 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-5.5 Pro

  • ✓ You are already integrated with OpenAI

When to choose Grok 4.20 Beta

  • ✓ You need the lowest input token cost ($ 1.25/1M)
  • ✓ Your workload is output-heavy — Grok 4.20 Beta 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-5.5 Pro cheaper than Grok 4.20 Beta?

Grok 4.20 Beta is cheaper on input tokens at $1.25/1M vs $30.00/1M for GPT-5.5 Pro — a 96% saving.

What is the context window of GPT-5.5 Pro vs Grok 4.20 Beta?

GPT-5.5 Pro has a 1,000,000-token context window. Grok 4.20 Beta has a 1,000,000-token context window. GPT-5.5 Pro supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5.5 Pro or Grok 4.20 Beta?

The best choice depends on your use case. For cost efficiency on input tokens, Grok 4.20 Beta is the cheaper option. For maximum context length, GPT-5.5 Pro supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.