OPENAI VS XAI

GPT-5.5 Pro vs Grok Build 0.1

Grok Build 0.1 is about 54x cheaper than GPT-5.5 Pro on a blended 3:1 input:output rate — the same 10K-in/2K-out request costs $0.014 vs $0.66. GPT-5.5 Pro has the larger context window (1,047,576 vs 256,000 tokens).

Pricing verified

API pricing per 1M tokens

ModelInput / 1M tokensOutput / 1M tokensBlended (3:1 mix)
GPT-5.5 Pro$30.00$180.00$67.50
Grok Build 0.1$1.00$2.00$1.25

Rates from official OpenAI pricing and official xAI pricing, checked 2026-08-11.

What a real workload costs

Example: one request with 10,000 input tokens and 2,000 output tokens, then that request at 100,000 runs per month.

ModelPer request (10K in / 2K out)Per month (100K requests)Monthly delta
GPT-5.5 Pro$0.66$66,000+$64,600
Grok Build 0.1$0.014$1,400—

Model your own prompt sizes and volumes in the token cost analyzer, or check caching savings with the prompt caching calculator.

Specs side by side

SpecGPT-5.5 ProGrok Build 0.1
ProviderOpenAIxAI
Context window1,047,576 tokens256,000 tokens
Model classReasoningGeneral text
Tokenizero200k_base (exact, public)Proprietary (counts estimated)

Count tokens for each model on its own page: GPT-5.5 Pro token counter and Grok Build 0.1 token counter. All OpenAI models are on the OpenAI Token Counter. All xAI models are on the Grok Token Counter.

FAQ

GPT-5.5 Pro vs Grok Build 0.1 FAQ

Which is cheaper, GPT-5.5 Pro or Grok Build 0.1?

Grok Build 0.1 is cheaper. At rates checked 2026-08-11, GPT-5.5 Pro costs $30.00 input / $180.00 output per 1M tokens, while Grok Build 0.1 costs $1.00 input / $2.00 output — about a 54x difference on a typical 3:1 input-heavy workload.

How much does a real request cost on GPT-5.5 Pro vs Grok Build 0.1?

A request with 10,000 input tokens and 2,000 output tokens costs about $0.66 on GPT-5.5 Pro and $0.014 on Grok Build 0.1. At 100,000 such requests per month that is $66,000 vs $1,400 — a difference of $64,600 per month.

Which has the bigger context window, GPT-5.5 Pro or Grok Build 0.1?

GPT-5.5 Pro. It supports 1,047,576 tokens of context versus 256,000 tokens — roughly 786,000 English words in one request.

Do GPT-5.5 Pro and Grok Build 0.1 count tokens the same way?

Not exactly. GPT-5.5 Pro uses the published o200k_base tokenizer and Grok Build 0.1 uses a proprietary tokenizer (counts are estimates). The same prompt will tokenize differently, which shifts effective cost per word.