Grok 4.7 vs GPT-6 Sol
Which one to choose
Pick Grok 4.7 when you want xAI's most capable model for code and general work, with a knowledge cutoff of May 2026. Pick GPT-6 Sol for complex coding and agent workflows where you want a reasoning setting of none available. OpenAI now recommends GPT-6.1 Sol for new work, so Sol suits existing deployments best. Both read images, call tools and return schema-checked JSON.
Pricing comparison
| Grok 4.7 | GPT-6 Sol | |
|---|---|---|
| Model maker | xAI | OpenAI |
| Delivery availability | Available | Available |
| Context window | 500K | 1.05M |
| Max output | 128K | 128K |
| Official price | Input$2.00per 1M tokensOutput$6.00per 1M tokens | Input$2.00per 1M tokensOutput$10.00per 1M tokens |
| TokenLab price | Input$1.00per 1M tokensOutput$3.00per 1M tokens | Input$0.60per 1M tokensOutput$3.00per 1M tokens |
| Model performance | Collecting data |
|
| Capabilities | JSON modePrompt CacheReasoningTool useVision | CodeJSON modePrompt CacheReasoningTool useVision |
Choose Grok 4.7 when
- You want xAI's top model for code and everyday knowledge work in one place.
- You want code, tool calling and image understanding on one model, with schema-checked JSON output.
- You need a model whose knowledge runs to May 2026.
Choose GPT-6 Sol when
- Your deployment already runs GPT-6 Sol and you want continuity of behavior.
- You need reasoning set to none for fast turns, as well as higher levels.
- The work is complex coding and agentic flows with computer use gains from GPT-6 training.
How they differ
| Aspect | Grok 4.7 | GPT-6 Sol |
|---|---|---|
| Maker's positioning | xAI says: for everything else, including code, use Grok 4.7, the most capable model it has built. | OpenAI's mid-to-upper GPT-6 model, below Astra, for complex coding and agentic workflows. |
| Reasoning setting | Built as a reasoning model for coding, agentic tasks and knowledge work. | Supports a reasoning setting of none as well as higher levels. |
| Knowledge and training | Knowledge cutoff of May 2026. | Trained with methods similar to Astra, with gains in factuality and computer use over GPT-5.6 Sol. |
| Lifecycle | Released in September 2026 as xAI's current top model. | OpenAI names GPT-6.1 Sol for new projects; Sol is the choice for existing deployments. |
| Hardest tasks | xAI presents it as its most capable model, so there is no higher Grok tier to hand off to in its model list. | Astra is stronger on the hardest research and long computer-use tasks. |
Summary
- Grok 4.7: Input $1.00 / Output $3.00 per 1M tokens; GPT-6 Sol: Input $0.60 / Output $3.00 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
- GPT-6 Sol has a 2.1x larger context window
FAQ
Is Grok 4.7 better than GPT-6 Sol for coding?
Neither maker publishes a head-to-head result. xAI recommends Grok 4.7 for code, and OpenAI built Sol for complex coding and agents. Run both on your repository tasks and compare.
Is GPT-6 Sol the newest OpenAI option?
No. OpenAI marks GPT-6 Sol as the choice for existing deployments and names GPT-6.1 Sol for new projects. Astra remains the higher tier above Sol.
Can I switch between them without code changes?
Basic chat and tool-calling code transfers. Retest how you set reasoning: Sol takes a reasoning setting that includes none, while Grok 4.7 is a reasoning model for coding and agentic work.
Do both accept images?
Yes. Both take images with text, call tools and return schema-checked JSON, so the same vision and extraction prompts can be evaluated on each side by side.
Which is cheaper, Grok 4.7 or GPT-6 Sol?
Grok 4.7: Input $1.00 / Output $3.00 per 1M tokens; GPT-6 Sol: Input $0.60 / Output $3.00 per 1M tokens. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
What are the key differences between Grok 4.7 and GPT-6 Sol?
GPT-6 Sol: Code
Sources
Reviewed Oct 2, 2026