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Superseded.Meta has newer models in this line:Muse Spark 1.3
SupersededReleased Aug 5, 2026ProprietaryReasoning1M contextMeta: Muse Spark 1.2 model page

Muse Spark 1.2

Decision reading
Muse Spark 1.2 scores 70.3 out of 100 and ranks #14 of 230. This profile shows 8 source-displayable benchmark rows; its strongest eligible category is Knowledge at #10. API pricing is $1.25 input and $4.25 output per million tokens, with cached input at $0.15.

Released Aug 5, 2026 — see all recent releases

Data as of September 18, 2026 · How the score is built

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Strongest published evidence

Knowledge ranks #10. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.

Validate before choosing

8 published rows leave some tracked benchmark slots empty. Coding is its lowest eligible category at #21.

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

70.3/100

field median 56.3

#14 of 230 ranked models

Price

$1.25input / $4.25 output

input median $0.95

cached $0.15 · blended $2.75

Speed

154tok/s

field median 90 tok/s

First token 28.37 s

Context

1Mtokens

field median 256,000

Maximum output length is tracked separately

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic2/2 verified
  2. Coding5/5 verified
  3. ReasoningNot measured
  4. Knowledge1/1 verified
  5. MathNot measured
  6. MultilingualNot measured
  7. MultimodalNot measured
  8. Inst. FollowingNot measured
Verified sourceProvisionalNot measured

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticRank #16 of 154Percentile 90thWeight 22%2 benchmarksVerified61.0
CodingRank #21 of 154Percentile 87thWeight 20%5 benchmarksVerified60.0
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeRank #10 of 184Percentile 95thWeight 12%1 benchmarkVerified70.7
MathWeight 5%0 benchmarksNot measuredNot measured
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding5 rows
Coding benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score82.9%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap9.9 behindWeightDisplay only
Provider exact
Meta: Muse Spark 1.2 model page
DeepSWEScore59.3%Versus best verified row

Best verified: Muse Spark 1.3 · 75.4%

Gap16.1 behindWeightDisplay only
Provider exact
Meta: Muse Spark 1.2 model page
VulcanBench v3Score87.0%Versus best verified row

Best verified: Grok 4.5 · 89.9%

Gap2.9 behindWeightDisplay only
Benchmark exact
VulcanBench Report 19: Muse Spark 1.2 effort study
FrontierSWE v2Score12.0%Versus best verified row

Best verified: Claude Fable 5.1 · 56.3%

Gap44.3 behindWeightDisplay only
Benchmark exact
Proximal: FrontierSWE v2 leaderboard
SWE-bench (Vals)SWE-bench, Vals AI runScore86.6%Versus best verified row

Best verified: Claude Opus 5 · 97.0%

Gap10.4 behindWeightDisplay only
Verified
Vals AI: SWE-bench leaderboard
Agentic2 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Terminal-Bench 2.1 (provider run)Score82.9%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap9.9 behindWeightDisplay only
Provider exact
Meta: Muse Spark 1.2 model page
Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI runScore69.7%Versus best verified row

Best verified: GPT-6 Astra · 87.3%

Gap17.6 behindWeightDisplay only
Verified
Vals AI: Terminal-Bench 2.1 leaderboard
Knowledge1 row
Knowledge benchmark values, best verified comparison, weight, and source status
MMLU-Pro (Vals)MMLU-Pro, Vals AI runScore88.3%Versus best verified row

Best verified: Claude Fable 5.1 · 92.4%

Gap4.1 behindWeightWeighted 10%
Verified
Vals AI: MMLU Pro leaderboard

Capability shape

Each axis shows percentile within that category’s eligible cohort. The comparison outline is the median of the six nearest public-score peers; a collapsed vertex means the category is not rank-eligible.

Muse Spark 1.2 category percentile values

  • Agentic90th percentile
  • Coding87th percentile
  • ReasoningNot eligible
  • Knowledge95th percentile
  • MathNot eligible
  • MultilingualNot eligible
  • MultimodalNot eligible
  • Instruction followingNot eligible

The dashed outline is median of 6 nearest peers.

Eligible category ranks

  1. Agentic#16/154
  2. Coding#21/154
  3. ReasoningNot ranked
  4. Knowledge#10/184
  5. MathNot ranked
  6. MultilingualNot ranked
  7. MultimodalNot ranked
  8. Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible

What it costs to get this score

Published API price against the public score. The x-axis uses a log scale; the dashed path marks models that are not beaten by a cheaper, higher-scoring option. Price uses average of published input and output rates.

Explore all models

The chart opens on the current model. Scroll horizontally to inspect the full price axis.

Current modelMuse Spark 1.2 · 70.3 score · $2.75 blended per million tokens
30405060708090$0.50$1$5$10$25↘ frontierMuse Spark 1.2

Horizontal: blended price per million tokens, log scale · Vertical: public score

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
muse-spark-1.2Meta: Muse Spark 1.2 model page
Context window
1MMeta: Muse Spark 1.2 model page
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Available through Meta Model API as muse-spark-1.2. Meta also offers a lower-priced muse-spark-1.2-contributor SKU whose data may be used to improve Meta products.
Cloud regions
Not tracked yet
Lifecycle
Superseded
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Published at $0.15 per million cached input tokensMeta: Muse Spark 1.2 model page
Self-host
Weights are not published
Rate limits
Not tracked yet

Lineage

The sequence follows explicit supersedes links. A successor's displayed score stays at least 0.1 points above its predecessor; raw benchmark rows do not move. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Apr 8, 2026

    Muse Spark

    Score 67.5 · Price not listed

  2. Jul 9, 2026

    Muse Spark 1.1

    Score 70.2 · Price not listed

  3. Aug 5, 2026 · you are here

    Muse Spark 1.2

    Score 70.3 · $1.25 / $4.25

  4. Sep 2, 2026

    Muse Spark 1.3

    Not publicly ranked · $1.25 / $4.25

1.2 · 1.2

Muse Spark 1.3Muse Spark 1.3Muse Spark 1.1 · 70.2Muse Spark · 67.5

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

Muse Spark 1.2 ranks #14 of 230 on the public leaderboard with a score of 70.28/100. It does not yet have enough sourced coverage for a verified position.

Muse Spark 1.2 is a proprietary model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Available through Meta Model API as muse-spark-1.2. Meta also offers a lower-priced muse-spark-1.2-contributor SKU whose data may be used to improve Meta products.

Muse Spark 1.2 sits in the Muse Spark family with Muse Spark 1.3, Muse Spark 1.1, Muse Spark. Its explicit predecessor is Muse Spark 1.1. 8 of 446 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Its strongest eligible category is Knowledge at #10, while its lowest eligible position is Coding at #21. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.

Radar

Muse Spark 1.2 release history

Full release history

Radar confirmed these at the source. Use Muse Spark 1.2 in your work? Explore Radar to follow supported changes and choose your alerts.

Questions

How does Muse Spark 1.2 perform overall in AI benchmarks?

Muse Spark 1.2 ranks #14 out of 230 models on the public BenchAlign leaderboard, with a score of 70.28/100. Its evidence status is Estimated, and this profile shows 8 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.

Is Muse Spark 1.2 good for knowledge and understanding?

Muse Spark 1.2 ranks #10 out of 184 eligible models for knowledge and understanding, with a public category score of 70.7/100. That places it in the current top ten for this category. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Muse Spark 1.2 good for coding and programming?

Muse Spark 1.2 ranks #21 out of 154 eligible models for coding and programming, with a public category score of 60/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Is Muse Spark 1.2 good for agentic tool use and computer tasks?

Muse Spark 1.2 ranks #16 out of 154 eligible models for agentic tool use and computer tasks, with a public category score of 61/100. Higher-ranked alternatives are available for workloads where this category decides the choice. Check the underlying rows before treating the aggregate as a workload guarantee.

Which sibling models are related to Muse Spark 1.2?

Muse Spark 1.2 belongs to the Muse Spark family. Related tracked variants include Muse Spark 1.3, Muse Spark 1.1, Muse Spark. A sibling link indicates shared lineage or a documented configuration relationship; it does not mean the variants have identical pricing, context limits, benchmark evidence, or deployment behavior. Compare before switching.

Does Muse Spark 1.2 have full benchmark coverage on BenchLM?

No. Muse Spark 1.2 currently has 23 source-displayable rows across 446 tracked benchmark slots. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Muse Spark 1.2?

Muse Spark 1.2 has a documented context window of 1M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

Compare Muse Spark 1.2 with every tracked model490 comparisons

Last updated September 18, 2026. Runtime fields remain blank until a sourced snapshot exists.

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