Grok 4.3 vs GPT-4.1 mini
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Grok 4.3 | GPT-4.1 mini |
|---|---|---|
| Provider | xAI | OpenAI |
| Input Price (1M) | $1.25 | $0.40 |
| Output Price (1M) | $2.50 | $1.60 |
| Context Window | 1,000,000 | 1,000,000 |
Verdict
Grok 4.3 costs $1.25 per 1M input tokens and $2.50 per 1M output tokens. GPT-4.1 mini costs $0.40 per 1M input tokens and $1.60 per 1M output tokens. GPT-4.1 mini is 68% cheaper on input tokens than Grok 4.3. For output tokens, GPT-4.1 mini is the more affordable option at $1.60/1M vs $2.50.
On context window, Grok 4.3 supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Grok 4.3
- ✓ You are already integrated with xAI
When to choose GPT-4.1 mini
- ✓ You need the lowest input token cost ($ 0.40/1M)
- ✓ Your workload is output-heavy — GPT-4.1 mini generates text cheaper
- ✓ 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 4.3 cheaper than GPT-4.1 mini? ▼
GPT-4.1 mini is cheaper on input tokens at $0.40/1M vs $1.25/1M for Grok 4.3 — a 68% saving.
What is the context window of Grok 4.3 vs GPT-4.1 mini? ▼
Grok 4.3 has a 1,000,000-token context window. GPT-4.1 mini has a 1,000,000-token context window. Grok 4.3 supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Grok 4.3 or GPT-4.1 mini? ▼
The best choice depends on your use case. For cost efficiency on input tokens, GPT-4.1 mini is the cheaper option. For maximum context length, Grok 4.3 supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.