TL;DR

Muse Spark 1.3 by Meta costs $1.25 per 1M input tokens and $4.25 per 1M output tokens and carries a context window of 1M tokens — observed 2026-10-23.

Muse Spark 1.3

Meta · Proprietary · bench-align-v5

Compare this model Model a workload

Canonical idmuse-spark-1-3

Overall scoreUnavailable

Context window1M tokens

Release date2026-09-02

Access typeProprietary

Blended $/1M$2.0075% input / 25% output

Capability shape

Seven axes from the ranking source. A missing axis is drawn as a gap.

Capability evidence

Agentic76.1

Coding68

Knowledge68

Reasoning82

Multimodal & GroundedUnavailable

Instruction FollowingUnavailable

Math78.5

Runtime service evidence

Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.

Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.

Evidence key: ObservedUnavailable

Runtime measurements
Measurement	Value	Observed	Last good	Evidence
Time to first token	79.83 s	2026-10-23	2026-10-23
Throughput	133 tok/s	2026-10-23	2026-10-23

Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.

Endpoint and price matrix

Every published price component, including cache reads and writes.

Price components
Component	USD	Evidence
Input / 1M tokens	$1.25
Output / 1M tokens	$4.25
Cache read / 1M tokens	$0.15
Cache write / 1M tokens	Unavailable
Blended / 1M (75% input / 25% output)	$2.00
Cost per successful task (LiveBench)	Unavailable

Self-hosted listingMeta Model API lists `muse-spark-1.3` at $1.25 input, $0.15 cached input, and $4.25 output per million tokens. Meta separately lists `muse-spark-1.3-contributor`, whose data may be used to improve Meta products, at $0.10 input, $0.002 cached input, and $0.20 output per million tokens; the standard non-contributor SKU is the headline rate.The rates above are a hosted price matched from another provider, not a first-party list price.

Workload-aware monthly cost example

10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.

Modelled monthly cost$5.63

Modelled tokens2.82M

Open the simulatorChange this workload

Benchmark record

40 matched benchmark rows with their published value, unit, and provenance.

Knowledge

Knowledge benchmarks
Benchmark	Value	Tasks	Difficulty	Provenance
Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index	48.1	Cross-benchmark intelligence index	Display-only external reference	Artificial Analysis
AA-GPQA Diamond Artificial Analysis GPQA Diamond	93.5	Graduate-level science questions	Graduate-level science reasoning	Artificial Analysis GPQA Diamond Benchmark Leaderboard
AA-HLE Artificial Analysis Humanity's Last Exam	48.7	Expert-level questions	Frontier expert reasoning	Artificial Analysis Humanity's Last Exam Benchmark Leaderboard

Lifecycle and limitations log

Lifecycle events the source associates with this model, plus what this profile does not claim.

No lifecycle event references this model.

That is not evidence the model has no lifecycle plan — only that this source published none.

What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-10-23 13:17 UTC.

Benchmark

Value

Tasks

Difficulty

Provenance

AA Briefcase

Artificial Analysis Briefcase

1583

Professional knowledge-work tasks

Professional work

Artificial Analysis Briefcase Benchmark Leaderboard

AA AutomationBench

Artificial Analysis AutomationBench

57.9

Business-process automation tasks

Agentic automation

Artificial Analysis AutomationBench Benchmark Leaderboard

AA ITBench

Artificial Analysis ITBench-AA

33.2

IT incident-response tasks

Enterprise IT operations

Artificial Analysis ITBench-AA Benchmark Leaderboard

AA Tau3 Banking

Artificial Analysis Tau3-Banking

50.5

Banking tool-use workflows

Agentic banking workflows

Artificial Analysis Tau3-Banking Benchmark Leaderboard

Terminal-Bench 2.1

Terminal-Bench 2.1

88.8

Terminal-based software-agent tasks

Professional software engineering

Terminal-Bench

GDPval-AA

GDPval-AA

1754

Agentic real-world work tasks

Professional agentic workflows

DeepSeek-V4 Technical Report

GDPval-AA

GDPval-AA normalized

59.0

Economically valuable tasks

Professional agentic workflows

Artificial Analysis model benchmarks

AA Agentic Index

Artificial Analysis Agentic Index

55.7

Cross-benchmark agentic index

Display-only external reference

Artificial Analysis model leaderboards

AA Terminal-Bench 4.0

Artificial Analysis Terminal-Bench v4.0

33.3

Terminal-based agent tasks

Agentic software engineering

Artificial Analysis Terminal-Bench v4.0 Benchmark Leaderboard

GDP.pdf

Artificial Analysis GDP.pdf

26.6

Professional document-production tasks

Professional knowledge work

GDP.pdf Benchmark Leaderboard

OSWorld 2.0

OSWorld 2.0

66.9

108 long-horizon computer-use workflows

Long-horizon professional workflows

OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks

JobBench

JobBench

64.9

130 tasks across 35 occupations

Professional multi-source workflows

JobBench: Aligning Agent Work With Human Will

AutomationBench

AutomationBench

49.4

600 public automation tasks

Long-horizon automation

Kimi K3: Open Frontier Intelligence

DeepSearchQA

DeepSearchQA

89.4

Agentic browsing and list-answer questions

Agentic web research

Muse Spark Eval Methodology

Terminal-Bench 2.1 (Vals)

Terminal-Bench 2.1, Vals AI run

72.3

Difficult terminal tasks

Frontier agentic

Vals AI Terminal-Bench 2.1, Vals AI run leaderboard

ApprenticeBench

ApprenticeBench: end-to-end computer use, continual learning, and long-horizon agency on a real accounts-payable job

100 vendor bills processed in sequence inside a simulated construction company

Long-horizon computer use with offline and online continual learning

ApprenticeBench: a step change in AI's job readiness

CWE-bench v1

CWE-bench v1

55.0

Audit and patch held-out C/C++, Go, Java, TypeScript/JavaScript, Python, and Rust repositories

Frontier agent evaluation

CWE-bench v1 leaderboard and methodology

MazeBench

MazeBench: visual spatial reasoning in a 3D open world

100 hidden gems across 256 rooms in one open world

Long-horizon spatial planning, with single puzzles that can take over one hundred moves

MazeBench Results

Benchmark	Value	Tasks	Difficulty	Provenance
Terminal-Bench 2.1 Terminal-Bench 2.1	88.8	Terminal-based software-agent tasks	Professional software engineering	Terminal-Bench
FrontierSWE v2 FrontierSWE v2	25.8	34 ultra-long-horizon engineering and research tasks	Ultra-long-horizon frontier software engineering	FrontierSWE v2
SWE-Atlas Codebase QnA SWE-Atlas Codebase QnA	59.4	124 codebase questions across 11 repositories	Production codebase comprehension	Muse Spark 1.3 Evaluation Methodology
Bug Hunt Bench Bug Hunt Bench	32.2	105 planted bugs across two production TypeScript repositories	Blind production-repository bug finding and repair	Bug Hunt Bench method, caveats, and definitions
AA Coding Index Artificial Analysis Coding Index	75.8	Cross-benchmark coding index	Display-only external reference	Artificial Analysis model leaderboards
AA-SciCode Artificial Analysis SciCode	58.8	Scientific coding subproblems	Scientific programming	Artificial Analysis SciCode Benchmark Leaderboard
DeepSWE DeepSWE	75.4	113 software engineering tasks across 91 repositories and 5 languages	Long-horizon software engineering	DeepSWE benchmark blog

Benchmark	Value	Tasks	Difficulty	Provenance
FrontierMath v2 (Tiers 1-3) FrontierMath v2 Tiers 1-3	74.035	285 private advanced mathematics problems	From olympiad-plus to early research mathematics	FrontierMath v2 benchmark hub
FrontierMath v2 (Tier 4) FrontierMath v2 Tier 4	46.341	41 private extreme-difficulty mathematics problems	Research-level mathematics requiring hours or days of expert work	FrontierMath Tier 4 v2 leaderboard

Benchmark	Value	Tasks	Difficulty	Provenance
MRCR v2 256K-512K OpenAI MRCR v2 8-needle 256K-512K	98.5	100 eight-needle retrieval examples	Very long-context retrieval	Muse Spark 1.3 Evaluation Methodology
MRCR v2 512K-1M OpenAI MRCR v2 8-needle 512K-1M	98.1	100 eight-needle retrieval examples	Million-token retrieval	Muse Spark 1.3 Evaluation Methodology
AA-LCR Artificial Analysis Long Context Reasoning	83.0	Long-context reasoning tasks	Long-context reasoning	Artificial Analysis model benchmarks
MLCR-AA Medical Long Context Reasoning (MLCR-AA)	43.3	Long, fragmented medical-record reasoning	Long-context medical reasoning	Medical Long Context Reasoning (MLCR-AA)
CritPt Critical Physics Tasks	24.9	Research-level physics questions	Research-level physics reasoning	CritPt Benchmark Leaderboard

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