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Meta: Muse Spark 1.2 (Contributor tier)

meta/muse-spark-1.2-contributor
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Muse Spark 1.2 at discounted token pricing, in exchange for permission for Meta to train future models on your data.

Derived from Muse Spark 1.2.

ModalitiesTextImageVideoFileText
In / out price$0.040 / $0.080 per 1M
Context1.05M
Released—
ProvidersPricingPerformanceAvailabilityAppsActivityFAQExplore

Providers

Where this model runs, and what each route costs. Requests are sent to a healthy provider automatically; if one errors, the gateway retries against another serving the same model.

ProviderInput /MOutput /MCache read /MLatencyThroughput
Meta$0.040$0.080$0.002——

Capabilities (9)

StreamingTool callingParallel tool callsStructured outputReasoningSystem promptVisionPrompt cachingWeb search

Supported parameters (2)

toolsresponse_format

Any other parameter you send is ignored rather than rejected.

Pricing

What this model costs to run, next to the rate it is posted at. Caching and discounts mean the price actually paid is often below the listed one.

Effective input price
$0.040
/M tokens · listed $0.100
Effective output price
$0.080
/M tokens · listed $0.200
RateListedChargedUnit
Input$0.100$0.040per 1M tokens
Output$0.200$0.080per 1M tokens
Cache read$0.002$0.002per 1M tokens
UTC

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better). Throughput and TTFT are measured on streaming requests, which are the only ones with a first-token moment to time.

Throughput
—tok/s
P50, streaming requests
Latency
—s
P50, end to end
UTC
No requests to this model in the selected window, so there is nothing to measure yet.

Availability

The share of requests to this model that completed successfully. When an upstream provider errors, the gateway retries against another provider serving the same model, so a single provider incident does not necessarily show up here.

Success rate (30d)
0.00%
over 79 requests
Days with traffic
2
of the last 30

Days are UTC days. Days with no requests are omitted rather than drawn at 100% — no traffic is not evidence of availability.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

  1. 1.Oxyy Tester102 tokens

Activity

Token volume and request traffic to this model over time. Daily totals, UTC.

Prompt102
Completion0

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length. Reasoning is not priced separately for this model, so it is not itemised here.

Frequently asked questions

What is Muse Spark 1.2 (Contributor tier)?
Muse Spark 1.2 at discounted token pricing, in exchange for permission for Meta to train future models on your data.
How much does Muse Spark 1.2 (Contributor tier) cost?
Muse Spark 1.2 (Contributor tier) costs $0.100 per million input tokens and $0.200 per million output tokens. Cached prompt tokens are billed at $0.002 per million. You pay per request, with no subscription.
What is the context length of Muse Spark 1.2 (Contributor tier)?
Muse Spark 1.2 (Contributor tier) has a context window of 1,048,576 tokens.
Does Muse Spark 1.2 (Contributor tier) support tool calling and structured outputs?
Yes — Muse Spark 1.2 (Contributor tier) supports both tool calling and structured outputs.
What inputs and outputs does Muse Spark 1.2 (Contributor tier) support?
Muse Spark 1.2 (Contributor tier) accepts text, image, video, file as input and returns text.
What other models does Meta have?
Meta also offers Muse Glimmer, Muse Image 1.0, Muse Spark 1.1, Muse Spark 1.2 through Oxyy.
When was Muse Spark 1.2 (Contributor tier) released?
No release date is published for Muse Spark 1.2 (Contributor tier).

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