Side-by-side comparison
GPT-5 Chat vs Grok 4.20 Multi-Agent
xAI
Grok 4.20 Multi-Agent
👁 Vision
{} JSON
Input / 1M
$2.0000
Output / 1M
$6.0000
| GPT-5 Chat | Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | OpenAI | xAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 128,000 | 2,000,000 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, json_mode | vision, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 1.2500 | 2.0000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 10.0000 | 6.0000 |
Frequently asked questions
Which is cheaper, GPT-5 Chat or Grok 4.20 Multi-Agent?
Grok 4.20 Multi-Agent is cheaper than GPT-5 Chat on a 50/50 input/output blend by about $1.625 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, GPT-5 Chat or Grok 4.20 Multi-Agent?
Grok 4.20 Multi-Agent has the larger context window at 2M tokens versus 128k tokens for GPT-5 Chat. That means Grok 4.20 Multi-Agent can ingest about 15.6x as much text per request.
What is the difference between GPT-5 Chat and Grok 4.20 Multi-Agent?
GPT-5 Chat comes from OpenAI; Grok 4.20 Multi-Agent comes from xAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.