Muse Spark 1.3 model profile

Profile facts

Profile type

Model research profile

Provider or publisher

Meta

Context window

1,048,576 tokens

Snapshot date

2026-09-06

Knowledge cutoff

Not disclosed

Reference catalog ID

meta/muse-spark-1.3

When to pick Muse Spark 1.3

Muse Spark 1.3 is a reference profile: Meta publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.

Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.

• Reach for it when a whole corpus has to fit in one prompt. The 1.05M-token context window is in the top quarter of the 163 models publishing a limit here, so long documents can go in whole rather than chunked.
• Reach for it when the input includes images. The snapshot records image input, so screenshots, scans, and diagrams can be sent directly instead of described.
• Reach for it when the input is speech. The snapshot records audio input, so recordings can go to this route rather than being transcribed first.
• Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
• Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
• Look elsewhere when the request is trivial and latency-sensitive. Reasoning is mandatory on this route and cannot be turned off, so short factual requests still pay reasoning tokens and reasoning latency.

Context, modalities, and identity

Muse Spark 1.3 accepts text, image, video, file, and audio and returns text. The snapshot records audio input, file input, prompt caching, reasoning controls, structured output, text generation, tool calling, video input, vision, and web search pricing as capabilities or interfaces.

Provider or publisher

Meta

Context window

1,048,576 tokens

Maximum output

943,718 tokens

Input modalities

text, image, video, file, and audio

Output modalities

text

Knowledge cutoff

Not disclosed

Model overview

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It is designed to keep track of information across extended tasks, work through conflicting inputs, and request clarification or confirmation when needed, with an emphasis on concise execution.

Reference model ID

meta/muse-spark-1.3

Canonical version

meta/muse-spark-1.3-20260902

Hugging Face ID

Not separately documented

Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

Supported parameters

include_reasoning, max_tokens, reasoning, reasoning_effort, repetition_penalty, response_format, structured_outputs, temperature, tool_choice, tools, top_k, top_p

• audio input
• file input
• prompt caching
• reasoning controls
• structured output
• text generation
• tool calling
• video input
• vision
• web search pricing

Dated pricing snapshot

The dated reference snapshot lists $1.25 input and $4.25 output per million tokens. Cached input is $0.15 per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

Price date

2026-09-06

Input

$1.25 per 1M tokens

Cached input

$0.15 per 1M tokens

Output

$4.25 per 1M tokens

Provider routes, performance, and uptime

The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.

Active provider endpoints

1

Best p50 latency

3.10 s

Best p50 throughput

67 tok/s

Availability with routing

99.42% over the sampled window

Availability without routing

99.34% over the sampled window

Performance date

2026-09-06

Benchmark evidence and limitations

The 2026-09-06 snapshot includes 4 Design Arena categories. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

Popularity and market context

Muse Spark 1.3 ranked #63 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.

Third-party catalog rank

#63

Global market share

Not inferred

Observation date

2026-09-06

Frequently asked questions

Sources and evidence dates

1. Muse Spark 1.3 third-party catalog record (catalog, checked 2026-09-06)
2. Third-party model catalog methodology (methodology, checked 2026-09-06)
3. Meta official model documentation (primary, checked 2026-09-06)
4. Design Arena leaderboard and methodology (benchmark, checked 2026-09-06)