Grok 4.6 vs Gemini 2.5 Pro
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | Grok 4.6 | Gemini 2.5 Pro |
|---|---|---|
| Provider | xAI | |
| Input Price (1M) | $2.00 | $1.25 |
| Output Price (1M) | $6.00 | $10.00 |
| Context Window | 500,000 | 1,000,000 |
Verdict
Grok 4.6 costs $2.00 per 1M input tokens and $6.00 per 1M output tokens. Gemini 2.5 Pro costs $1.25 per 1M input tokens and $10.00 per 1M output tokens. Gemini 2.5 Pro is 38% cheaper on input tokens than Grok 4.6. For output tokens, Grok 4.6 is the more affordable option at $6.00/1M vs $10.00.
On context window, Gemini 2.5 Pro supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose Grok 4.6
- ✓ Your workload is output-heavy — Grok 4.6 generates text cheaper
- ✓ You are already integrated with xAI
When to choose Gemini 2.5 Pro
- ✓ You need the lowest input token cost ($ 1.25/1M)
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with Google
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 4.6 cheaper than Gemini 2.5 Pro? ▼
Gemini 2.5 Pro is cheaper on input tokens at $1.25/1M vs $2.00/1M for Grok 4.6 — a 38% saving.
What is the context window of Grok 4.6 vs Gemini 2.5 Pro? ▼
Grok 4.6 has a 500,000-token context window. Gemini 2.5 Pro has a 1,000,000-token context window. Gemini 2.5 Pro supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: Grok 4.6 or Gemini 2.5 Pro? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Gemini 2.5 Pro is the cheaper option. For maximum context length, Gemini 2.5 Pro supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.