We use cookies. Cookies and browser storage keep you signed in and remember your preferences. With your permission we also measure how the site is used. You can any time. See our cookie policy.

New here? See how it works A 1-minute tour of the playground, models and your API key.

Relace Search vs Grok 4.20 Multi-Agent: API price, context & features · api14

Relace: Relace Search vs SpaceXAI: Grok 4.20 Multi-Agent

A side-by-side comparison of Relace: Relace Search ($3.50 / 1M tokens) and SpaceXAI: Grok 4.20 Multi-Agent ($4.38 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

	Relace: Relace Search	SpaceXAI: Grok 4.20 Multi-Agent
Provider	Relace	xAI
Input	$3.50 / 1M tokens	$4.38 / 1M tokens
Output	$10.50 / 1M tokens	$8.75 / 1M tokens
Cache read	-	$0.70 / 1M tokens
Web search	-	$17.50 / 1K searches
Context window	256,000	2,000,000
Max output	128,000	1,800,000
Input	text	text, image, file
Output	text	text
Tool calling
Structured output
Reasoning control
Added	Dec 8, 2025	Mar 31, 2026

Key differences

Relace: Relace Search is 20% cheaper on input tokens.
SpaceXAI: Grok 4.20 Multi-Agent is 17% cheaper on output tokens.
SpaceXAI: Grok 4.20 Multi-Agent reads 7.8× more context (2,000,000 tokens).
Only Relace: Relace Search supports tool calling.
Only SpaceXAI: Grok 4.20 Multi-Agent supports structured JSON output.
Only SpaceXAI: Grok 4.20 Multi-Agent supports reasoning effort control.
A request with 1,000 input and 500 output tokens costs $0.00875 with Relace: Relace Search and $0.00875 with SpaceXAI: Grok 4.20 Multi-Agent.

In depth

Relace: Relace Search is a text model from Relace, released on 2025-12-08. SpaceXAI: Grok 4.20 Multi-Agent is a text model from xAI, released on 2026-03-31. Both sit in the text category and both return text output, so at the surface level they look like siblings in a catalogue. The differences show up once you look at context, modalities and the parameters each one accepts.

Grok 4.20 Multi-Agent has the larger context window at 2,000,000 tokens, against 256,000 for Relace Search, so it is the one to reach for when you need to hold very large inputs in a single call. Grok also accepts image and file input alongside text, while Relace Search is text in and text out only. On parameters, Relace Search is the only one of the two that exposes tools and tool_choice, which makes it the natural fit for function calling and agent loops that need to invoke external code. Grok is the only one that exposes reasoning, reasoning_effort and include_reasoning, plus structured_outputs, logprobs and top_logprobs. In short, Relace Search leans toward tool use, Grok leans toward reasoning, structured output and multimodal input.

For a developer choosing between them, the task shape usually decides it. If you are building something that must call functions, hit APIs or chain tool calls inside a single request, Relace Search is the straightforward pick because tool support is part of its parameter set. If you are doing long document analysis, working over images or files, or you want the model to expose its reasoning and emit tightly structured JSON, Grok 4.20 Multi-Agent covers those cases and Relace Search does not. The 2,000,000 token window on Grok also matters when your prompt is a large corpus rather than a short instruction.

Calling either model through api14 works the same way, because the gateway is OpenAI-compatible. You point your client at the api14 base URL, send your usual chat completions request, and change only the model id string. Use "relace/relace-search" for the Relace model and "x-ai/grok-4.20-multi-agent" for the Grok model. Everything else in your request body, your messages, your temperature and your max_tokens, stays where it is. That means you can switch between the two in a single line of code and compare behaviour on your own workload without rewriting your integration.

Price is the one place where the two split rather than one dominating. Relace Search is the cheaper of the two on input, while Grok 4.20 Multi-Agent is the cheaper of the two on output. If your workload is input heavy, with long prompts and short answers, Relace Search will generally cost less. If your workload is output heavy, with short prompts and long generations, Grok will generally cost less. Check the live price table on this page for the current numbers before you commit, since the balance shifts with your particular input to output ratio.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "relace/relace-search" to "x-ai/grok-4.20-multi-agent" and prompts, streaming and tools keep working.

Relace: Relace Search details & playground →SpaceXAI: Grok 4.20 Multi-Agent details & playground →

import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api14.com/api/v1",
  apiKey: process.env.API14_API_KEY,
});

const result = await client.chat.completions.create({
  "model": "x-ai/grok-4.20-multi-agent",
  "messages": [
    {
      "role": "user",
      "content": "Explain vector databases in two sentences."
    }
  ]
});
console.log(result.choices[0].message.content);

Relace: Relace Search vs SpaceXAI: Grok 4.20 Multi-Agent

Specifications

Key differences

In depth

Switch with one string

More comparisons