Grok 4.7 vs GPT-6.1 Sol

Grok 4.7 and GPT-6.1 Sol are both available on magicdoor.ai, but the practical choice is less about brand and more about the current turn. Grok has a lower output rate below 200K prompt tokens and a documented 500K context window. GPT-6.1 Sol is the better route when a workflow requires PDF input or code interpreter.

Quick Comparison

Price Comparison

For requests below 200K prompt tokens, Grok 4.7 matches GPT-6.1 Sol on standard input price and costs less on output:

• Grok 4.7: $2 input / $6 output per 1M tokens
• GPT-6.1 Sol: $2 input / $10 output per 1M tokens

For a request containing 100K input tokens and producing 20K output tokens, the approximate model cost is:

At 200K prompt tokens or more, Grok's request moves to $4 input and $12 output per 1M tokens. A request with 250K input tokens and 50K output tokens therefore costs about $1.60 on Grok 4.7. At GPT-6.1 Sol's standard rates, the same token counts cost about $1.00 because 250K remains below Sol's 272K long-context threshold.

Actual usage varies with prompt size, output length, and caching. magicdoor.ai shows live costs so you can judge a switch from the conversation itself rather than from a generic monthly estimate.

Choose Grok 4.7 When

• you want the lower output price below 200K prompt tokens for a text, image, or reasoning task
• you need its 500K-token context capacity
• the workflow uses function calling but does not need code interpreter
• you want another model to review an answer in the same conversation

The 200K pricing threshold matters for large prompts. If a request does not need all of its attached context, trim it before sending. That reduces cost and makes the answer easier to audit.

Choose GPT-6.1 Sol When

• the conversation includes a PDF that the model must read
• the task needs code interpreter for calculations, data analysis, or executable code
• you specifically want the stronger OpenAI tier available on magicdoor.ai
• existing work in the conversation depends on an OpenAI-only tool

Those workflow features can matter more than the per-token difference. A cheaper model that cannot access the required file or tool is not the cheaper choice for that turn.

Use Both in One Conversation

A simple multi-model workflow is:

1. Start with Grok 4.7 for long-context analysis, image understanding, or a lower-cost first pass.
2. Switch to GPT-6.1 Sol when the task reaches a PDF or needs code interpreter.
3. Switch back to Grok or another model for review and synthesis.
4. Use Magicdoor's search, image, or canvas integrations when the task crosses into those workflows.

magicdoor.ai supports model switching without starting a new conversation. That makes the comparison reversible: choose based on the current step, inspect the result and live cost, then switch if the next step needs a different capability.

FAQ

Is Grok 4.7 cheaper than GPT-6.1 Sol?

Only on output below 200K prompt tokens: Grok 4.7 and GPT-6.1 Sol both cost $2 per 1 million input tokens, while Grok costs $6 per 1 million output tokens versus Sol's $10. Grok moves to $4 input and $12 output at 200K prompt tokens or more.

When should I choose GPT-6.1 Sol instead of Grok 4.7?

Choose GPT-6.1 Sol when the task needs Magicdoor's PDF support or code interpreter. Choose Grok 4.7 when its 500K context window, image input, reasoning, function calling, and lower output rate below 200K prompt tokens fit the task.

Can I use Grok 4.7 and GPT-6.1 Sol in the same workflow?

Yes. On magicdoor.ai, you can switch models mid-conversation, keep the same chat context, and use live cost monitoring while each model handles the turns that fit it best.

The Bottom Line

Start with Grok 4.7 when cost, long context, image input, or general reasoning drives the decision. Start with GPT-6.1 Sol when PDF support or code interpreter is required. On magicdoor.ai, you can use both and pay the higher model rate only on the turns that need its tools.