Meta: Muse Spark 1.3Work with me

Meta: Muse Spark 1.3

byMeta

Muse Spark 1.3 is a reasoning model from Meta released on Sep 2, 2026. It reads text, images, files, audio and video and writes text, with a 1.05M token context window and up to 131K tokens per reply.

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It costs $1.25 per million input tokens and $4.25 per million output tokens. Cached input bills at $0.15, 88% less than fresh input.

It supports tool calling, structured JSON output and prompt caching.

13 providers serve it, including Vercel AI Gateway, Bothub and Cloudflare AI Gateway. The lowest input price is $0.10 per million tokens at Bothub.

On the Artificial Analysis Intelligence Index it scores 48.1, which places it in the top ten, at number 6, among the 43 models I track with independent scores.

Modalities
In / out price
$1.25 / $4.25 per 1M
Context
1.05M
Max output
131K
Released
Sep 2, 2026
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Muse Spark 1.3 pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$1.25 / 1M tokens
Output$4.25 / 1M tokens
Cached input (read)$0.15 / 1M tokens

Muse Spark 1.3 providers

13 providers serve it, including Vercel AI Gateway, Bothub and Cloudflare AI Gateway. The lowest input price is $0.10 per million tokens at Bothub. Each host sets its own price and limits, so the cheapest one is not always the one with the longest context.

ProviderInput /MOutput /MCache read /MContextMax output
Meta First party$1.25$4.25$0.151.05M131K
Vercel AI Gateway$1.25$4.25$0.151.05M1.05M
Bothub$0.10$0.20–1.05M944K
Cloudflare AI Gateway$1.25$4.25$0.161.05M131K
DevPass (LLM Gateway)$1.25$4.25$0.151.05M131K
EmpirioLabs AI$1.25$4.25$11.05M131K
Kilo Gateway$1.25$4.25$0.151.05M944K
LLM Gateway$1.25$4.25$0.151.05M1.05M
NanoGPT$1.25$4.25$0.151.05M944K
Opper$1.25$4.25$0.151.05M131K
Requesty$1.25$4.25$0.151.05M944K
AIHubMix$1.38$4.67$0.1651.05M131K

Showing 12 of 13 providers: the lab first, then the major clouds, then the cheapest resellers.

What Muse Spark 1.3 costs per month

Pick a workload close to yours or type your own volumes.

Muse Spark 1.3 per month
$88.88
Without caching
$138
Per request
$0.003

Independent benchmarks

Measured by third parties, not reported by Meta. Each links to its source and shows the date I checked it.

Supported request parameters

What you can set when you call Muse Spark 1.3 through an OpenAI compatible API.

  • Toolstools
  • Structured outputsstructured_outputs
  • Reasoningreasoning
  • Temperaturetemperature

Alternatives to Muse Spark 1.3

Models that take the same inputs and call tools, closest in price, cheaper ones first.

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 15 providers.

    by metaAug 5, 2026$1.25/M input tokens$4.25/M output tokens15 providers

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 24 providers.

    by googleSep 2, 20261.05M context$0.75/M input tokens$3.75/M output tokens24 providers

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 25 providers.

    by googleJul 9, 2026$0.75/M input tokens$3.75/M output tokens25 providers

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 27 providers.

    by googleDec 17, 2025$0.50/M input tokens$3/M output tokens27 providers

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 24 providers.

    by googleAug 13, 2026$0.75/M input tokens$3.75/M output tokens24 providers

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 6 providers.

    by googleAug 13, 2026$0.75/M input tokens$3.75/M output tokens6 providers

More from Meta

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 7 providers.

    by metaOct 12, 2026$4/M input tokens$20/M output tokens7 providers

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 4 providers.

    by metaSep 2, 2026$0.10/M input tokens$0.20/M output tokens4 providers

  • Generates images from text and images.

    by metaAug 26, 2026

  • Index 17.5

    Reads text and images. Reasoning.

    by metaAug 10, 2026128K context

  • Reads text and images. Tool calling, structured output, reasoning. Served by 12 providers.

    by metaAug 10, 2026$0.35/M input tokens$1.50/M output tokens12 providers

  • Reads text, images, files, audio and video. Tool calling, structured output, reasoning. Served by 15 providers.

    by metaAug 5, 2026$1.25/M input tokens$4.25/M output tokens15 providers

All Meta models

Muse Spark 1.3 questions

How much does the Muse Spark 1.3 API cost?

$1.25 per million input tokens and $4.25 per million output tokens, with cached input at $0.15. The estimator on this page turns that into a monthly bill for your own workload.

What is the context window of Muse Spark 1.3?

1,048,576 tokens of input, and it can write up to 131,072 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.

Which providers serve Muse Spark 1.3?

13 providers serve it, including Vercel AI Gateway, Bothub and Cloudflare AI Gateway. The lowest input price is $0.10 per million tokens at Bothub. Prices differ by host, so the Providers table on this page lists each one with its input and output price.

Does Muse Spark 1.3 support tool calling?

Yes. It accepts tool definitions and can return JSON that matches a schema, which is what an agent needs to call your APIs.

Is Muse Spark 1.3 open source?

No. Meta serves it through an API only, so you cannot download the weights or host it yourself.

When was Muse Spark 1.3 released?

Sep 2, 2026.

How good is Muse Spark 1.3 compared with other models?

It scores 48.1 on the Artificial Analysis Intelligence Index and 1494 on the Arena text leaderboard. Benchmarks are a shortlist, not a verdict: test the top two or three candidates on your own tasks before you commit.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. Independent scores from my hand checked rankings, sources linked above. The summary is written from these facts.

Building on Muse Spark 1.3?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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