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GPT-5 mini vs Grok Build 0.1

Detailed pricing comparison and cost analysis.

Updated September 2026

Cost Simulator

GPT-5 mini Cost
$0.65
Grok Build 0.1 Cost
$1.40
GPT-5 mini is 54% cheaper
FeatureGPT-5 miniGrok Build 0.1
ProviderOpenAIxAI
Input Price (1M)$0.25$1.00
Output Price (1M)$2.00$2.00
Context Window128,000256,000

Verdict

GPT-5 mini costs $0.25 per 1M input tokens and $2.00 per 1M output tokens. Grok Build 0.1 costs $1.00 per 1M input tokens and $2.00 per 1M output tokens. GPT-5 mini is 75% cheaper on input tokens than Grok Build 0.1. For output tokens, GPT-5 mini is the more affordable option at $2.00/1M vs $2.00.

On context window, Grok Build 0.1 supports 256,000 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 mini

  • ✓ You need the lowest input token cost ($ 0.25/1M)
  • ✓ You are already integrated with OpenAI

When to choose Grok Build 0.1

  • ✓ You need a larger context window (256,000 tokens)
  • ✓ 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 mini cheaper than Grok Build 0.1?

GPT-5 mini is cheaper on input tokens at $0.25/1M vs $1.00/1M for Grok Build 0.1 — a 75% saving.

What is the context window of GPT-5 mini vs Grok Build 0.1?

GPT-5 mini has a 128,000-token context window. Grok Build 0.1 has a 256,000-token context window. Grok Build 0.1 supports the larger context, suitable for longer documents and agentic workflows.

Which model is better: GPT-5 mini or Grok Build 0.1?

The best choice depends on your use case. For cost efficiency on input tokens, GPT-5 mini is the cheaper option. For maximum context length, Grok Build 0.1 supports 256,000 tokens. Use the comparison table above to find the right fit for your workload.