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Muse Spark Open vs Beam 1.0 501B A23B: API price, context & features · api14

Meta: Muse Spark Open vs Reflection: Beam 1.0 501B A23B

A side-by-side comparison of Meta: Muse Spark Open ($4.38 / 1M tokens) and Reflection: Beam 1.0 501B A23B ($1.05 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.

Specifications

	Meta: Muse Spark Open	Reflection: Beam 1.0 501B A23B
Provider	Meta	Reflection
Input	$4.38 / 1M tokens	$1.05 / 1M tokens
Output	$14.88 / 1M tokens	$3.50 / 1M tokens
Cache read	$0.52 / 1M tokens	$0.14 / 1M tokens
Context window	1,048,576	1,048,576
Max output	943,718	943,718
Input	text, image, video, file, audio	text
Output	text	text
Tool calling
Structured output
Reasoning control
Added	Oct 15, 2026	Oct 16, 2026

Key differences

Reflection: Beam 1.0 501B A23B is 76% cheaper on input tokens.
Reflection: Beam 1.0 501B A23B is 76% cheaper on output tokens.
A request with 1,000 input and 500 output tokens costs $0.01 with Meta: Muse Spark Open and $0.00280 with Reflection: Beam 1.0 501B A23B.

In depth

Meta: Muse Spark Open is a text model from Meta, released on 15 October 2026. Reflection: Beam 1.0 501B A23B is a text model from Reflection, released the following day, 16 October 2026. Both are served through api14 under the same text category, and both expose the same long list of supported parameters, so from an integration standpoint they look very similar on paper. The main structural difference between the two providers is that Meta's model accepts more than just text on the way in, while Reflection's model is text only.

That input difference is the clearest split. Muse Spark Open accepts text, image, video, file and audio inputs, and returns text. Beam 1.0 501B A23B accepts text only and returns text. Both list a context length of 1,048,576 tokens, so there is no meaningful difference in how much you can feed either one; the qualitative comparison marks bigger context as not meaningfully different. Neither model is singled out as the only one supporting tools, structured outputs or reasoning, so those capabilities are effectively a tie as far as the given facts go. On price, Beam 1.0 501B A23B is the cheaper option for both input and output, though the live price table on this page has the exact numbers.

For task selection, the deciding factor is what you need to send in. If your workload is pure text (chat, summarisation, code, extraction, tool calling over textual data), Beam 1.0 501B A23B is the natural default because it is the cheaper of the two and gives you the same context window and the same parameter surface. If your input includes images, video, audio or files, Muse Spark Open is the one to call, since Beam 1.0 501B A23B does not accept those modalities at all. A mixed pipeline that sometimes attaches a screenshot or a recording should standardise on Muse Spark Open rather than branching, unless the text only path is common enough that the price difference matters more than the convenience.

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 request body shape (messages, temperature, max_tokens, tools, response_format and so on), and authenticate with the same key. The only thing that changes between the two is the model id string: use "meta/muse-spark-open" for Meta's model and "reflection/beam-1.0-501b-a23b" for Reflection's. Everything else in your code, including streaming, retries and error handling, can stay identical, which makes switching or A/B testing a one line change.

There is one case where the text only model is still the better pick even if you have multimodal needs elsewhere: when the task is purely textual and cost sensitive, Beam 1.0 501B A23B wins on both input and output pricing while matching the context length and parameter support. Muse Spark Open only becomes necessary once an image, video, audio clip or file has to go into the prompt.

Switch with one string

Both models use the same endpoint and request shape. Change the model value from "meta/muse-spark-open" to "reflection/beam-1.0-501b-a23b" and prompts, streaming and tools keep working.

Meta: Muse Spark Open details & playground →Reflection: Beam 1.0 501B A23B 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": "reflection/beam-1.0-501b-a23b",
  "messages": [
    {
      "role": "user",
      "content": "Explain vector databases in two sentences."
    }
  ]
});
console.log(result.choices[0].message.content);

Meta: Muse Spark Open vs Reflection: Beam 1.0 501B A23B

Specifications

Key differences

In depth

Switch with one string

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