Model profile
Meta
New in 2026

Meta: Muse Spark 1.3

Meta: Muse Spark 1.3 is a budget-priced multimodal generalist from Meta with heavy runtime profile, large context posture, and the clearest fit around long-context research / agent workflows.

Best for: Long-context research / Agent workflowsHeavy latencyLarge contextBudget pricing
Intelligence
60.8

Benchmark blend

Coding
76.5

Dev workflow signal

Context
1049K Tokens

Large

Input Price
$1.25

Budget tier

Decision snapshot
70

Meta: Muse Spark 1.3 currently reads as a budget multimodal option with large context and a heavy runtime profile.

Overall profile
Strong all-rounder
Best for
Long-context research / Agent workflows
Latency tier
Heavy
Price tier
Budget
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
60.8
61

General reasoning and benchmark headroom.

Competitive
Speed
115 tok/s
41

TTFT 42.86s

Limited
Context
1049K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$1.25
86

$4.25 output / 1M

Efficient

Editorial Profile

Meta: Muse Spark 1.3 in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Strong all-rounderCoding score 77Math score N/AVision enabled

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...

Identity

Meta multimodal profile

Positioning

Long-context research / Agent workflows with large context and heavy runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Coding indicators point to a strong developer workflow fit.

  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

Best fit
  • Code generation, refactors, test writing, and tool-assisted debugging.

  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Muse Spark 1.3 (max)

Intelligence
62.1
Context
N/A
Input Price
$0.00
Meta

Meta: Muse Spark 1.2

Intelligence
56.8
Context
1049K Tokens
Input Price
$1.25
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Meta: Muse Spark 1.1

Intelligence
53.2
Context
1049K Tokens
Input Price
$1.25

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
60.8
GPQA
94.1%
HLE
47.5%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
76.5
SciCode
58.6%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

LCR
79.3%

Extra benchmark cuts are not available for this category yet.

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
1049K Tokens
Vision
Enabled
Modalities
audio, file, image, text, video
Tokenizer
Other
Max Completion
943718
Moderation
Yes
Supported Parameters
include_reasoningmax_tokensreasoningreasoning_effortrepetition_penaltyresponse_formatstructured_outputstemperaturetool_choicetoolstop_ktop_p
Input Modalities
audiofileimagetextvideo
Output Modalities
text
Price architecture
Input
per 1M input tokens
$1.25
Output
per 1M output tokens
$4.25
Blended
AA 3:1 mix
$2.00

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

OR Web Search Price
$0.0025
OR Cache Read
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.