GPT-5 vs Grok 4.20 Beta
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | GPT-5 | Grok 4.20 Beta |
|---|---|---|
| Provider | OpenAI | xAI |
| Input Price (1M) | $1.25 | $1.25 |
| Output Price (1M) | $10.00 | $2.50 |
| Context Window | 400,000 | 1,000,000 |
Verdict
GPT-5 costs $1.25 per 1M input tokens and $10.00 per 1M output tokens. Grok 4.20 Beta costs $1.25 per 1M input tokens and $2.50 per 1M output tokens. GPT-5 and Grok 4.20 Beta have identical input token pricing. For output tokens, Grok 4.20 Beta is the more affordable option at $2.50/1M vs $10.00.
On context window, Grok 4.20 Beta 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
- ✓ You are already integrated with OpenAI
When to choose Grok 4.20 Beta
- ✓ Your workload is output-heavy — Grok 4.20 Beta generates text cheaper
- ✓ You need a larger context window (1,000,000 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 cheaper than Grok 4.20 Beta? ▼
GPT-5 and Grok 4.20 Beta have identical input token pricing at $1.25/1M tokens.
What is the context window of GPT-5 vs Grok 4.20 Beta? ▼
GPT-5 has a 400,000-token context window. Grok 4.20 Beta has a 1,000,000-token context window. Grok 4.20 Beta supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: GPT-5 or Grok 4.20 Beta? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GPT-5 is the cheaper option. For maximum context length, Grok 4.20 Beta supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.