Elorian: Glimpse vs SpaceXAI: Grok 4.20 Multi-Agent
A side-by-side comparison of Elorian: Glimpse ($2.10 / 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
| Elorian: Glimpse | SpaceXAI: Grok 4.20 Multi-Agent | |
|---|---|---|
| Provider | Elorian | xAI |
| Input | $2.10 / 1M tokens | $4.38 / 1M tokens |
| Output | $10.50 / 1M tokens | $8.75 / 1M tokens |
| Cache read | $0.21 / 1M tokens | $0.70 / 1M tokens |
| Web search | - | $17.50 / 1K searches |
| Context window | 262,144 | 2,000,000 |
| Max output | 256,000 | 1,800,000 |
| Input | text, image, video | text, image, file |
| Output | text | text |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Oct 17, 2026 | Mar 31, 2026 |
Key differences
- Elorian: Glimpse is 52% cheaper on input tokens.
- SpaceXAI: Grok 4.20 Multi-Agent is 17% cheaper on output tokens.
- SpaceXAI: Grok 4.20 Multi-Agent reads 7.6× more context (2,000,000 tokens).
- Only Elorian: Glimpse supports tool calling.
- A request with 1,000 input and 500 output tokens costs $0.00735 with Elorian: Glimpse and $0.00875 with SpaceXAI: Grok 4.20 Multi-Agent.
In depth
Elorian: Glimpse is a text model from Elorian, released on 17 October 2026. SpaceXAI: Grok 4.20 Multi-Agent is a text model from xAI, released on 31 March 2026. Both are served through api14 as chat models with text output, so the choice between them comes down to context, input types and the parameters each one accepts rather than to a difference in output format.
The clearest split is context length. Grok 4.20 Multi-Agent accepts up to 2,000,000 tokens, while Glimpse accepts 262,144, so Grok is the one to reach for when you need to hold very large inputs in a single call. On input modalities they also diverge: Glimpse takes text, images and video, whereas Grok takes text, images and files. That means video input is only available on Glimpse, and file input is only available on Grok. Tool calling is another difference, since Glimpse lists tools and tool_choice among its supported parameters and Grok does not, so agentic or function calling workflows belong on Glimpse. Both expose reasoning and structured outputs, and neither has a meaningful edge there. On price, Glimpse is the cheaper of the two for input, while Grok is cheaper for output, so the cost balance shifts with how much you send versus how much you generate.
For most day to day work, pick based on the shape of the request. If your task involves video, or you need the model to call tools and act on their results, Glimpse is the natural fit, and its long parameter list (including logit_bias, min_p, repetition_penalty and top_k) gives you finer control over sampling. If your task is dominated by very large documents, or by file inputs, Grok 4.20 Multi-Agent is the better choice, and its reasoning_effort and seed parameters are useful when you want to tune how much reasoning it does or make runs more reproducible. When both could handle the job, weigh your input to output ratio: Glimpse is cheaper on input, Grok is cheaper on output.
Calling either model through api14 works the same way, because the API is OpenAI compatible. You point your client at the same base URL, send the same chat completions request body, and change only the model id. Use "elorian/glimpse" for Glimpse and "x-ai/grok-4.20-multi-agent" for Grok 4.20 Multi-Agent. Everything else in your integration, including your message format and your streaming setup, stays as it is, so switching between the two is a one line change and you can route different requests to different models without maintaining two clients.
There are cases where the model you did not pick first is still the right one. If you started on Grok for its large context but your workload turns out to need tool calls, move to Glimpse, since tools are only listed for that model. If you started on Glimpse for video or tools but your inputs are mostly huge text or files, move to Grok, which handles both and gives you the larger window.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "elorian/glimpse" to "x-ai/grok-4.20-multi-agent" and prompts, streaming and tools keep working.
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);
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