ChatGPT vs Grok: which is better?
Updated:
Compare GPT-6.1 Sol and Grok 4.7 on Intelligence Index, API price, and context window. This manual review uses OpenRouter and provider documentation checked on October 4, 2026.
Grok and GPT by the numbers
OpenRouter lists an Intelligence Index of 51.8 for GPT-6.1 Sol and 46.4 for Grok 4.7. GPT has a larger context window; Grok has a lower output price. The index uses Artificial Analysis data updated on September 22, 2026.
Intelligence Index
Price
standard rates: input / output per 1M tokens
Context
ChatGPT vs Grok: GPT-6.1 Sol and Grok 4.7 compared
| Criterion | GPT-6.1 Sol | Grok 4.7 | Takeaway |
|---|---|---|---|
| Intelligence Index | 51.8 in the OpenRouter comparison. | 46.4 in the OpenRouter comparison. | GPT-6.1 Sol is 5.4 points higher. This composite index does not predict every task. |
| API price | $2 input and $10 output per 1M tokens at standard OpenAI rates. | $2 input and $6 output per 1M tokens at standard xAI rates. | Input prices are equal; Grok output costs 40% less. Separate long-context rates apply above 200K input tokens for Grok and above 272K for GPT. |
| Context | 1.05M tokens. | 500K tokens. | GPT-6.1 Sol has a 2.1× larger context window. |
| Reasoning | Reasoning effort levels: low, medium, high, xhigh, max. | Reasoning effort levels: low, medium, high, xhigh. | Both allow reasoning depth adjustments. Matching level names do not imply equal quality. |
Which one to choose
For more context — GPT-6.1 Sol
Its 1.05M-token window accommodates more code and documents. GPT also has the higher Intelligence Index in this comparison; test your own tasks separately.
For lower output cost — Grok 4.7
Standard output costs $6 per 1M tokens versus $10 for GPT-6.1 Sol. For the same output volume, that is 40% less; both charge $2 for input.
For production — test both
One benchmark cannot decide every project. Quality on your data, context length, speed, and completed-task cost all matter.
Choose the model for the task
Grok API Dev brings Grok, GPT, Claude, and other popular models into one interface. Switch between them for each workload.