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Muse Spark 1.2 Contributor

Muse Spark 1.2 Contributor serves the same weights as Muse Spark 1.2 at a substantially lower rate, in exchange for Meta using your inputs and outputs to train its models. Your use is subject to Meta's Terms & Privacy Policies.

ReasoningTool UseImplicit CachingFile InputVision (Image)
import { streamText } from 'ai'
const result = streamText({
model: 'meta/muse-spark-1.2-contributor',
prompt: 'Why is the sky blue?'
})
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Copy link to headingPlayground

Try out Muse Spark 1.2 Contributor by Meta. Usage is billed to your team at API rates. Free users (those who haven't made a payment) get $5 of credits every 30 days.

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Muse Spark 1.2 Contributor

Copy link to headingProviders

Route requests across multiple providers. Copy a provider slug to set your preference. Visit the docs for more info. Using a provider means you agree to their terms, listed under Legal.

Provider
Context
Max Output
Latency
Throughput
Input
Output
Cache
Web Search
Capabilities
ZDR
No Training
Free Tier
Release Date
1M1M
5.5s
61tps
$0.10/M
$0.20/M
Read:$0.002/M
Write:
+2
08/05/2026

Copy link to headingThroughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS). Visit the docs for more info.

Copy link to headingLatency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds. View the docs for more info.

Copy link to headingUptime

Direct request success rate on AI Gateway and per-provider. Visit the docs for more info.

Copy link to headingMore models by Meta

Model
Context
Latency
Throughput
Input
Output
Cache
Web Search
Capabilities
Providers
ZDR
No Training
Free Tier
Release Date
131K
0.2s
107tps
$0.35/M
$1.50/M
Read:$0.04/M
Write:
+1
fireworks logo
togetherai logo
08/10/2026
1M
3.7s
71tps
$1.25/M
$4.25/M
Read:$0.15/M
Write:
+2
meta logo
08/05/2026
1M
8.0s
147tps
$1.25/M
$4.25/M
Read:$0.15/M
Write:
+2
meta logo
07/09/2026
131K
0.2s
43tps
$0.24/M
$0.97/M
bedrock logo
deepinfra logo
04/05/2025
131K
0.2s
167tps
$0.17/M
$0.66/M
bedrock logo
deepinfra logo
04/05/2025
131K
0.2s
124tps
$0.02/M
$0.05/M
bedrock logo
deepinfra logo
novita logo
07/23/2024

Copy link to headingAbout Muse Spark 1.2 Contributor

Muse Spark 1.2 Contributor is a pricing tier rather than a separate model. The weights, the context window of 1.0M tokens, and every capability match Muse Spark 1.2: multimodal input across text, images, video, audio, and PDFs, multi-agent operation as either a planning agent or a parallel subagent, structured output, parallel function calling, and configurable reasoning effort.

What differs is the commercial arrangement. Meta charges substantially less per token, and in exchange uses your inputs and outputs to train and improve its models. Meta has published no separate capability claim for this tier, because there is nothing different to claim.

Decide eligibility before you compare prices. Work that suits this tier is public, synthetic, permissively licensed, or explicitly approved for sharing. Client repositories, personal data, secrets, unreleased product logic, and material under NDA belong on the standard tier.

The scope is wider than the prompt you write. An agent can read terminal output, generated files, and neighbouring directories, so what reaches Meta may exceed what a developer consciously submits. Scope the working directory accordingly.

You can integrate Muse Spark 1.2 Contributor through AI SDK, Chat Completions API, Responses API, Messages API, or other API formats, from TypeScript or Python.

Copy link to headingWhat To Consider When Choosing a Provider

  • Configuration: Read the terms in your Meta developer account before routing traffic here. Public documentation on retention period, deletion process, and regional eligibility is thin, and the terms in your logged-in account take precedence over any summary, including this page.
  • Configuration: An agent's reach is wider than its prompt. Terminal output, generated files, and neighbouring directories can all enter the context that gets shared, so a developer who intends to submit one file may submit considerably more. Scope the working directory before you point an agent at this tier.
  • Configuration: The saving is real and large, which is exactly why the decision should not be made on price. Standard Muse Spark 1.2 exists for everything that fails the eligibility test, and mixing the two per task is a reasonable pattern: the model can be switched mid-session without losing context.
  • Zero Data Retention: Zero Data Retention is offered on a per-provider and model basis. See the documentation for details.
  • Authentication: AI Gateway authenticates requests using an API key or OIDC token. You do not need to manage provider credentials directly.

Copy link to headingWhen to Use Muse Spark 1.2 Contributor

Best for

  • Public And Open Source Code: Sharing inputs carries no confidentiality risk
  • Synthetic Data: Generated specifically for the workload
  • High-Volume Experimentation: Where cost decides what is affordable to try
  • Pre-Approved Projects: Cleared for data sharing in advance

Consider alternatives when

  • Client Or Customer Code: Standard Muse Spark 1.2 is the correct tier
  • Secrets And Personal Data: An agent may read files you did not intend to submit
  • NDA Or Unreleased Work: The price difference does not change eligibility
  • Undocumented Retention Needs: Public terms on retention and deletion are limited

Muse Spark 1.2 Contributor is Muse Spark 1.2 at a fraction of the price, paid for with your inputs and outputs rather than tokens. Point meta/muse-spark-1.2-contributor at AI Gateway only for work that is public, synthetic, or explicitly cleared, and keep everything else on the standard tier.