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Glimpse vs Moondream 3.1: API price, context & features · api14

Elorian: Glimpse vs Moondream: Moondream 3.1

A side-by-side comparison of Elorian: Glimpse ($2.10 / 1M tokens) and Moondream: Moondream 3.1 ($1.05 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

	Elorian: Glimpse	Moondream: Moondream 3.1
Provider	Elorian	Moondream
Input	$2.10 / 1M tokens	$1.05 / 1M tokens
Output	$10.50 / 1M tokens	$8.75 / 1M tokens
Cache read	$0.21 / 1M tokens	-
Context window	262,144	32,000
Max output	256,000	4,096
Input	text, image, video	text, image
Output	text	text
Tool calling
Structured output
Reasoning control
Added	Oct 17, 2026	Oct 15, 2026

Key differences

Moondream: Moondream 3.1 is 50% cheaper on input tokens.
Moondream: Moondream 3.1 is 17% cheaper on output tokens.
Elorian: Glimpse reads 8.2× more context (262,144 tokens).
Only Elorian: Glimpse supports tool calling.
Only Elorian: Glimpse supports structured JSON output.
A request with 1,000 input and 500 output tokens costs $0.00735 with Elorian: Glimpse and $0.00542 with Moondream: Moondream 3.1.

In depth

Elorian: Glimpse is a text output model from Elorian, and Moondream: Moondream 3.1 is a text output model from Moondream. Both are listed on api14 under the text category, and both accept text and image input. The two arrived close together, with Moondream 3.1 released on 2026-10-15 and Glimpse on 2026-10-17, so neither is a legacy option you would pick only out of habit. The practical difference starts with the makers: Elorian built Glimpse as a large context, tool capable model, while Moondream built Moondream 3.1 as a leaner vision language model.

The clearest split is context. Glimpse offers a context window of 262144 tokens, while Moondream 3.1 offers 32000 tokens, so Glimpse is the one to reach for when you need to hold long documents, transcripts or multi hour video alongside your instructions. Glimpse also accepts video input, which Moondream 3.1 does not; Moondream 3.1 takes text and images only. On parameters, Glimpse supports tools, tool choice, structured outputs, response format, logprobs, top logprobs, logit bias, frequency and presence penalties, repetition penalty, min p, top k, stop and reasoning controls. Moondream 3.1 supports a much smaller set: include reasoning, reasoning, max tokens, max completion tokens, temperature and top p. If you need function calling or a strict JSON schema back, only Glimpse covers it. Neither model is meaningfully different on reasoning support according to the available comparison, so that is not a tiebreaker.

For day to day work, pick by the shape of the job. If you are captioning or querying individual images, extracting fields from a photo, or running a high volume vision task where cost matters, Moondream 3.1 is the cheaper option on both input and output, and its smaller context is rarely a constraint when each request carries one image and a short prompt. If you are feeding in long PDFs, hour long recordings, or a video plus a long instruction set, Glimpse is the fit, since Moondream 3.1 cannot take video at all and its context is far smaller. If your application needs the model to call tools, return structured output, or expose log probabilities for scoring and filtering, Glimpse is the only one of the two that supports those parameters. Moondream 3.1 remains the better pick for straightforward image understanding at scale, where its lower price and simpler parameter surface are enough.

Calling either model through api14 works the same way, because the API is OpenAI compatible. You point your existing OpenAI client at the api14 base URL, send your key, and set the model field to the id you want. To use Glimpse, set the model to elorian/glimpse. To use Moondream 3.1, set it to moondream/moondream3.1-9b-a2b. Everything else in the request body keeps the shape you already use: messages with text and image content parts, plus whichever parameters that model supports. Switching between the two is a one line change to the model id, so you can route cheap image requests to Moondream 3.1 and long context or tool using requests to Glimpse from the same code path. Just remember that parameters such as tools or structured outputs will only take effect on Glimpse, and that video content parts only apply there as well.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "elorian/glimpse" to "moondream/moondream3.1-9b-a2b" and prompts, streaming and tools keep working.

Elorian: Glimpse details & playground →Moondream: Moondream 3.1 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": "moondream/moondream3.1-9b-a2b",
  "messages": [
    {
      "role": "user",
      "content": "Explain vector databases in two sentences."
    }
  ]
});
console.log(result.choices[0].message.content);

Elorian: Glimpse vs Moondream: Moondream 3.1

Specifications

Key differences

In depth

Switch with one string

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