MetaReasoningReleased 2 September 2026

Muse Spark 1.3 pricing, context and benchmark

Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.

1.05M
Input context
944K
Output context
$1.25
Official input
$4.25
Official output
37
AA index

Everything that matters, in one table

Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.

ModelMuse Spark 1.3
Model IDmeta/muse-spark-1.3
ProviderMeta
Release date2 September 2026
StatusGenerally available
Input context1,048,576 tokens
Output context943,718 tokens
Official input pricing$1.25 per 1M tokens
Official output pricing$4.25 per 1M tokens
Cache read pricing$0.15 per 1M tokens (88% off input)
Market input pricing$1.25 per 1M (cheapest route)
Market output pricing$4.25 per 1M (cheapest route)
Input modalitiestext · image · video · file
Output modalitiestext
Reasoning controlNot exposed
Tool supportText generation only
TokenizerOther
Provider routes1 endpoint
Artificial Analysis index37 (#40 of 74)
Speed126 tokens/s, 25.98s to first token
Knowledge cutoffNot publicly stated

Input and output support

ModalityInputOutputBilled at
Text✓ yes✓ yes$1.25 in
Image✓ yesno$1.25 in
Audionononot supported
Video✓ yesno$1.25 in
File (PDF)✓ yesno$1.25 in

What is Muse Spark 1.3?

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...

Muse Spark 1.3 carries a 1.05M token window, uses the Other tokenizer and is served by Meta. On Hoodgen it sits in the Reasoning tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.

Release and what changed from the previous version

Released2 September 2026
PropertyMuse Spark 1.2 ContributorMuse Spark 1.3Change
Released2026Sep 2026Newer release
Context1.05M1.05MUnchanged
Max output944K944KUnchanged
Input price$0.1$1.25Higher
Output price$0.2$4.25Higher
Input modalitiestext, image, video, filetext, image, video, fileUnchanged
AA indexn/a37Newer benchmark run

Features and capabilities

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Vision
Screenshots, charts and photographed documents are read at the text token rate.
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Files and PDFs
Documents go in as files rather than pasted text, keeping layout and tables intact.
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Audio and video
Calls, meetings and screen recordings can be summarised in one pass.
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Prompt caching
Cached input costs $0.15 per million instead of $1.25, so stable prefixes get cheaper.

Benchmark results and performance

Artificial Analysis Intelligence Index v5.0.1 blends nine evaluations. Muse Spark 1.3 scores 37 , ranking #40 of 74.

Intelligence index
37
#40 of 74
Cost per task
$2.39
weighted average per index task
Time per task
12.1m
inference time
Output speed
126
tokens per second
Index score and cost per task
Index score#40 of 74
37
Cost per taskUSD
$2.39
Scale: index 0 to 70, cost 0 to $20. Sub scores are not published per evaluation, so none are invented here.

What can you do with Muse Spark 1.3?

Debugging and root cause
Multi file failures where the model has to hold a causal chain before answering.
Architecture and planning
Design docs, migration plans and trade off analysis over long context.
Data analysis
Spreadsheets and logs read in one pass, then summarised with the numbers quoted back.
Agentic coding
Repo wide changes that need plan, edit and verify loops.

Prompt caching and how to cut the bill

Cached input bills at $0.15 per million instead of $1.25, a 88% discount. Keep the system prompt and documents first and the changing question last, so every call hits the cache.

Muse Spark 1.3 pricing

Official pricing

List price
$1.25 / 1M in
$4.25 / 1M out
  • $0.15 cached input
  • 1.05M context
  • text, image, video, file input
Cheapest route
$1.25 / 1M in
$4.25 / 1M out
  • 1 route on OpenRouter
  • What Hoodgen routes to first
  • Same model, lower bill

Market pricing, every route

ProviderTierInputOutputCache readUptime 24h
Metastandard$1.25$4.25$0.15100.0%

API pricing and cost calculator

RatePer callTotalCredits
Cheapest route$0.0182$9.098634
List price$0.0182$9.098634

API and developer information

Model IDmeta/muse-spark-1.3
Endpointhttps://openrouter.ai/api/v1/chat/completions
Parametersprompt and max_tokens
StreamingYes, server sent events
Modality stringtext+image+file+video->text
Max prompt tokens1,048,576
Max completion tokens943,718
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta/muse-spark-1.3",
    "messages": [{ "role": "user", "content": "Summarise this document." }],
    "max_tokens": 1024
  }'

Model limitations

Text only outputIt cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals.
Output cap943,718 tokens per request. Long deliverables have to be chunked.
Knowledge cutoffThe provider does not state a fixed cutoff for every release. Verify very recent events against search.

Muse Spark 1.3 vs other Meta models

ModelContextInput /1MOutput /1MAA indexReleased
Muse Spark 1.31.05M$1.25$4.2537Sep 2026
Muse Wonder1.05M$4$2044Oct 2026
Muse Spark Open1.05M$1.25$4.2525Oct 2026
Muse Spark 1.21.05M$1.25$4.25n/a2026
Muse Spark 1.11.05M$1.25$4.25n/a2026
Muse Glimmer 30B131K$0.3$1.2n/a2026

Privacy and data policy

  • On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
  • Requests route through OpenRouter to Meta and are covered by that provider's API terms.
  • Do not paste secrets or personal data you would not send to any hosted model.

Muse Spark 1.3 questions, answered

Muse Spark 1.3 is a reasoning model from Meta, released 2 September 2026. Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows.
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Start chatting with Muse Spark 1.3

Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.