GPT-5.2 Pro vs Grok 4.7

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on September 30, 2026· 217 models

OpenAIGPT-5.2 Pro

GPT-5.2 Pro is OpenAI’s most advanced model, offering major improvements in agentic coding and long context performance over GPT-5 Pro.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
400 K tokens
Max output
128 K
Input, $ per 1M tokens
$21.00
Output, $ per 1M tokens
$168.00
Cache read, $ per 1M
—
Batch (input / output)
$10.50 / $84.00
Tool calling
Yes
Released
12/11/2025
Knowledge cutoff
2025-08-31
API id
openai/gpt-5.2-pro
xAIGrok 4.7

Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6.

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Reasoning estimated
Speed estimated
▲
Input
Output
Context
▲500 K tokens
Max output
▲450 K
Input, $ per 1M tokens
▲$2.00
Output, $ per 1M tokens
▲$6.00
Cache read, $ per 1M
$0.500
Batch (input / output)
—
Tool calling
Yes
Released
▲09/21/2026
Knowledge cutoff
2026-05
API id
x-ai/grok-4.7
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: GPT-5.2 Pro vs Grok 4.7?

  • Grok 4.7: cheapest input (90% less than GPT-5.2 Pro)
  • Grok 4.7: cheapest output
  • Grok 4.7: largest context (500 K)
  • Grok 4.7: the newest (09/21/2026)
  • GPT-5.2 Pro: most reasoning (estimated)
  • Grok 4.7: the fastest (estimated)

Grok 4.7 costs 90% less on input and 96% less on output than GPT-5.2 Pro ($2.00 / $6.00 versus $21.00 / $168.00 per million tokens). Grok 4.7 accepts more context (500 K). GPT-5.2 Pro offers a batch tier at half price for jobs that do not need an immediate answer.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

GPT-5.2 Pro
$987.00/mo
Grok 4.7
$54.00/mo

With Grok 4.7 you save $933.00 a month versus GPT-5.2 Pro (95% less).

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Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1Grok 4.7 xAI$0.152
  2. 2Claude Sonnet 5.5 Anthropic$0.152
  3. 3Claude Sonnet 5 Anthropic$0.152
  4. 4Claude Opus 5.5 Anthropic$0.304
  5. 5Claude Opus 5 Anthropic$0.380
  6. 6Claude Fable 5.1 Anthropic$0.760
  7. 7Claude Fable 5 Anthropic$0.760
  8. 8GPT-5.2 Pro OpenAI$1.60

Popular comparisons

Frequently asked questions

Which is the better API choice: GPT-5.2 Pro vs Grok 4.7?

Grok 4.7 costs 90% less on input and 96% less on output than GPT-5.2 Pro ($2.00 / $6.00 versus $21.00 / $168.00 per million tokens). Grok 4.7 accepts more context (500 K). GPT-5.2 Pro offers a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: GPT-5.2 Pro and Grok 4.7?

Grok 4.7 is cheaper: $2.00 per million input tokens and $6.00 per million output tokens, versus $21.00 / $168.00 for GPT-5.2 Pro.

Which has more context: GPT-5.2 Pro and Grok 4.7?

Grok 4.7 accepts 500 K tokens of context; GPT-5.2 Pro accepts 400 K.

Which is newer: GPT-5.2 Pro and Grok 4.7?

Grok 4.7 was released on 09/21/2026; GPT-5.2 Pro on 12/11/2025.

What would 10,000 requests a month cost with GPT-5.2 Pro and Grok 4.7?

With 1,500 input and 400 output tokens per request: GPT-5.2 Pro: $987.00; Grok 4.7: $54.00 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.