Model comparison
GPT-6.1 Sol vs Grok 4.7: pricing, context and features compared
GPT-6.1 Sol costs $2 per million input tokens and $10 per million output tokens; Grok 4.7 costs $2 and $6. Here is how they compare on specs, on what real workloads cost, and on which to pick for what, from prices updated daily.
OpenAI’s main model and xAI’s flagship launched close together and are priced in the same range, so developers compare them directly for chat, coding and research tasks.
- Input / 1M
- $2
- Output / 1M
- $10
- Context
- 1,050,000
- Max output
- 128,000
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 500,000
- Max output
- Not published
Verdict
GPT-6.1 Sol or Grok 4.7: which to pick
Input costs about the same, and Grok 4.7 is 1.7× cheaper per output token. On our data, GPT-6.1 Sol has the edge for very long prompts, repeated prompts and batch jobs, and Grok 4.7 has no measurable edge; its case rests on answer quality, so choose it only if it does clearly better in your own tests. For scale, a support chatbot handling 1,000 requests a day costs about $169.57 a month on GPT-6.1 Sol and $130.03 on Grok 4.7.
- Lowest bill for typical workloadsEither
- It depends on the shape of the work: GPT-6.1 Sol is cheaper for the coding agent and document summariser; Grok 4.7 for the support chatbot and RAG app.
- Very long prompts (whole codebases, long documents)Pick GPT-6.1 Sol
- GPT-6.1 Sol reads up to 1,050,000 tokens per request, against 500,000 for Grok 4.7. GPT-6.1 Sol charges $4 / $15 per 1M once a prompt passes 272,000 tokens.
- Long replies (reports, large code files)Either
- GPT-6.1 Sol caps a reply at 128,000 tokens; Grok 4.7 publishes no separate cap, so we can’t say which allows longer replies.
- Images, audio, video or files in the promptEither
- Both accept images and files as well as text.
- Repeated long prompts (prompt caching)Pick GPT-6.1 Sol
- GPT-6.1 Sol bills cached input at $0.10 per 1M (5% of its input price), against $0.50 per 1M (25% of its input price) for Grok 4.7.
- Overnight batch jobsPick GPT-6.1 Sol
- GPT-6.1 Sol has a batch price ($1 in, $5 out per 1M); Grok 4.7 has none in our data.
- Self-hosting or choosing your own hostEither
- Neither has downloadable weights: both are only available through their provider’s API and cloud partners.
Criteria use only list prices, published limits and the features each provider declares. We don’t rank answer quality; test both models on your own prompts before you commit.
Specs
GPT-6.1 Sol vs Grok 4.7 side by side
| Spec | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| Provider | OpenAI | xAI |
| Input / 1M tokens | $2 | $2 |
| Output / 1M tokens | $10 | $6 (better) |
| Cached input / 1M | $0.10 (better) | $0.50 |
| Cache write / 1M | $2.50 | No write charge listed |
| Batch in / out | $1 / $5 (better) | No batch price |
| Long-prompt price | $4 / $15 over 272,000 | $4 / $12 over 200,000 |
| Context window | 1,050,000 (better) | 500,000 |
| Max output | 128,000 | Not published |
| Accepts | text, images, files | text, images, files |
| Image input | Yes | Yes |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
| Prompt caching | Yes | Yes |
| Structured output | Yes | Yes |
| Open weights | No | No |
| Knowledge cutoff | Not published | Not published |
| First listed | 2026-09-29 | 2026-09-21 |
Prices in US dollars per million tokens. Highlighted: the lower price or larger limit where the difference is over 5%. Features are as declared by each provider’s API; “First listed” is when our data source first listed the model. Long-prompt prices apply to the whole request once the prompt passes the threshold.
Costs
What GPT-6.1 Sol and Grok 4.7 cost for real workloads
| Workload | Tokens in / out | Requests/day | GPT-6.1 Sol / month | Grok 4.7 / month | Cheaper |
|---|---|---|---|---|---|
| Support chatbotCalculator: GPT-6.1 Sol · Grok 4.7 | 1,500 / 400 | 1,000 | $169.5750% cached | $130.0350% cached | Grok 4.7 (1.3×) |
| RAG appCalculator: GPT-6.1 Sol · Grok 4.7 | 6,000 / 500 | 500 | $223.8720% cached | $200.7520% cached | Grok 4.7 (1.1×) |
| Coding agentCalculator: GPT-6.1 Sol · Grok 4.7 | 40,000 / 2,000 | 200 | $238.4780% cached | $267.6780% cached | GPT-6.1 Sol (1.1×) |
| Document summariserCalculator: GPT-6.1 Sol · Grok 4.7 | 8,000 / 600 | 300 | $100.38batch | $178.85no batch price | GPT-6.1 Sol (1.8×) |
Each row uses the same token counts for both models and list prices, with caching and batch discounts only where the provider publishes them. A month is 365 ÷ 12 days. The support chatbot reads 50% of its prompt from the cache. The RAG app reads 20% of its prompt from the cache. The coding agent reads 80% of its prompt from the cache. The document summariser runs as a batch job where a batch price exists. Open either model in the LLM cost calculator to change any number.
Tokenizers
Are their per-token prices comparable?
Not exactly. Each model splits text into tokens its own way, so the same prompt can be a different number of tokens on GPT-6.1 Sol and Grok 4.7, and the cheaper per-token price isn’t always the cheaper bill. Where a tokenizer isn’t public or measured we say so rather than guess.
| Model | Tokenizer | Tokens per 1,000 words | Output per 1M words |
|---|---|---|---|
| GPT-6.1 Sol | OpenAI hasn’t published the tokenizer GPT-6.1 Sol uses, so its count for a given text isn’t known exactly. | ||
| Grok 4.7 | We haven’t measured Grok 4.7’s tokenizer, so its count for a given text isn’t known here. | ||
English prose, measured on the Universal Declaration of Human Rights (2026-10-11) or taken from the provider’s published words-per-token figure. Code, JSON and other languages use more tokens per word. Count your own text in the token counter or convert with tokens to words.
FAQ
GPT-6.1 Sol vs Grok 4.7 questions
Is GPT-6.1 Sol cheaper than Grok 4.7?
GPT-6.1 Sol costs $2 per million input tokens and $10 per million output tokens; Grok 4.7 costs $2 and $6. For a support chatbot handling 1,000 requests a day, that is about $169.57 a month on GPT-6.1 Sol against $130.03 on Grok 4.7, so Grok 4.7 is 1.3× cheaper there. Try your own numbers in the LLM cost calculator.
Which has the bigger context window, GPT-6.1 Sol or Grok 4.7?
GPT-6.1 Sol has the larger context window. GPT-6.1 Sol reads up to 1,050,000 tokens (roughly 787,500 English words) and writes up to 128,000 tokens per reply. Grok 4.7 reads up to 500,000 tokens (roughly 375,000 English words) and publishes no separate cap on reply length. The window is shared between your prompt and the reply. Word counts use a rough 0.75 words per token; real ratios depend on the tokenizer.
Is GPT-6.1 Sol or Grok 4.7 better for coding?
We don’t publish benchmark scores, so this page can’t say which writes better code. What we can show is cost: a coding agent re-sending 40,000 tokens of context (80% cached) and writing 2,000 tokens, 200 times a day, costs about $238.47 a month on GPT-6.1 Sol and $267.67 on Grok 4.7. Both support tool calling. Test both on tasks from your own repository.
Can GPT-6.1 Sol and Grok 4.7 read images?
GPT-6.1 Sol accepts images and files as well as text. Grok 4.7 accepts images and files as well as text. So both can read screenshots, photos and scanned pages. This is what each provider declares for its API, not a measure of how well it works.
Are GPT-6.1 Sol and Grok 4.7 open source?
No. Neither GPT-6.1 Sol nor Grok 4.7 has published weights: you can only use them through OpenAI’s and xAI’s APIs and their cloud partners. If you need a model you can host yourself, compare open-weight options in the model comparison table.
Do GPT-6.1 Sol and Grok 4.7 count tokens the same way?
Not necessarily. Each model splits text into tokens with its own tokenizer, so the same prompt can be a different number of tokens on each, and per-token prices aren’t directly comparable. OpenAI hasn’t published the tokenizer GPT-6.1 Sol uses, so its count for a given text isn’t known exactly. We haven’t measured Grok 4.7’s tokenizer, so its count for a given text isn’t known here. Count your own text with the token counter or convert with tokens to words.