Capability
Unranked
field median 59.1
Not eligible for a public rank
Muse Spark 1.3
Released Sep 2, 2026 — see all recent releases
Decision reading
Muse Spark 1.3 is tracked, but not publicly ranked yet. The profile exposes 10 sourced benchmark rows and leaves unsupported fields blank until a published record exists.
Data as of September 2, 2026 · How the score is built
Strongest published evidence
Published rows are visible, but no category has enough eligible evidence for a comparative rank.
Validate before choosing
10 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.
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.
Price
$1.25input / $4.25 output
input median $1
cached $0.15 · blended $2.75
Speed
Not measured
field median 90 tok/s
Time to first token not measured
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.
- Agentic5/5 verified
- Coding3/3 verified
- Reasoning2/2 verified
- KnowledgeNot measured
- MathNot measured
- MultilingualNot measured
- MultimodalNot measured
- Inst. FollowingNot measured
Verified sourceProvisionalNot measured
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-1.3Meta Muse Spark 1.3 model page
- Context window
- 1MMeta Muse Spark 1.3 model page
- Maximum output
- Not sourced yet
- Knowledge cutoff
- Not sourced yet
- Input modalities
- text, image, video, documentMeta Muse Spark 1.3 model page
- Output modalities
- textMeta Muse Spark 1.3 model page
- Parameters
- Not disclosed by the provider
- Availability
- Meta Model API · Muse CodeMeta AI Research Muse Spark 1.3 launch
- Cloud regions
- Not tracked yet
- Lifecycle
- activeMeta AI Research Muse Spark 1.3 launch
- API capabilities
- OpenAI-compatible requests · tool calling · native image, video, and document perceptionMeta Muse Spark 1.3 model page
- Prompt caching
- Published at $0.15 per million cached input tokensMeta: Muse Spark 1.3 model page
- Self-host
- Weights are not published
- Rate limits
- Not tracked yet
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 | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticWeight 22%5 benchmarksVerified | Score pending | Not ranked | Not available | 22% | 5 benchmarks | Verified |
| CodingWeight 20%3 benchmarksVerified | Score pending | Not ranked | Not available | 20% | 3 benchmarks | Verified |
| ReasoningWeight 17%2 benchmarksVerified | Score pending | Not ranked | Not available | 17% | 2 benchmarks | Verified |
| KnowledgeWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not 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.
Coding3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score88.8% | Versus best verified row Best verified: Gemini 3.8 Flash · 89.4% | Gap0.6 behind | WeightDisplay only | Provider exact |
| deepSwe | Score75.4% | Versus best verified row Best verified: Muse Spark 1.3 · 75.4% | GapBest verified | WeightDisplay only | Provider exact |
| SWE-Atlas Codebase QnA | Score59.4% | Versus best verified row Best verified: Muse Spark 1.3 · 59.4% | GapBest verified | WeightDisplay only | Provider exact |
Agentic5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.1Terminal-Bench 2.1 (provider run) | Score88.8% | Versus best verified row Best verified: Gemini 3.8 Flash · 89.4% | Gap0.6 behind | WeightDisplay only | Provider exact |
| JobBench | Score64.9% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | GapBest verified | WeightDisplay only | Provider exact |
| OSWorld 2.0 | Score66.9% | Versus best verified row Best verified: Claude Opus 5 · 70.6% | Gap3.7 behind | WeightDisplay only | Provider exact |
| DeepSearchQA | Score89.4% | Versus best verified row Best verified: Claude Opus 5 · 95.0% | Gap5.6 behind | WeightDisplay only | Provider exact |
| AutomationBench | Score49.4% | Versus best verified row Best verified: Muse Spark 1.3 · 49.4% | GapBest verified | WeightDisplay only | Provider exact |
Reasoning2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MRCR v2 256K-512KOpenAI MRCR v2 8-needle 256K-512K | Score98.5% | Versus best verified row Best verified: Muse Spark 1.3 · 98.5% | GapBest verified | WeightDisplay only | Provider exact |
| MRCR v2 512K-1MOpenAI MRCR v2 8-needle 512K-1M | Score98.1% | Versus best verified row Best verified: Muse Spark 1.3 · 98.1% | GapBest verified | WeightDisplay only | Provider exact |
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.
Apr 8, 2026
Muse SparkScore 70.7 · Price not listed
Jul 9, 2026
Muse Spark 1.1Score 76.7 · Price not listed
Aug 5, 2026
Muse Spark 1.2Score 76.8 · $1.25 / $4.25
Sep 2, 2026 · you are here
Muse Spark 1.3Not publicly ranked · $1.25 / $4.25
1.3 · 1.3
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.
We track Muse Spark 1.3, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.
Muse Spark 1.3 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 Muse Code and Meta Model API as `muse-spark-1.3`. Meta also offers a lower-priced `muse-spark-1.3-contributor` SKU whose data may be used to improve Meta products. Previously available reasoning modes are live; Meta says max reasoning will follow additional safety testing.
Muse Spark 1.3 sits in the Muse Spark family with Muse Spark 1.1, Muse Spark 1.2, Muse Spark. Its explicit predecessor is Muse Spark 1.2. 10 of 416 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Radar
Full release historyMuse Spark 1.3 release history
Muse Spark 1.3 released
Meta · Model release
Source confirmed
Radar confirmed these at the source. Already tracking Muse Spark 1.3? See the free Radar Brief for what changes next.
Frequently asked questions
How does Muse Spark 1.3 perform overall in AI benchmarks?
Muse Spark 1.3 has 10 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.
Is Muse Spark 1.3 good for coding and programming?
Muse Spark 1.3 has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Muse Spark 1.3 good for reasoning and logic?
Muse Spark 1.3 has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Is Muse Spark 1.3 good for agentic tool use and computer tasks?
Muse Spark 1.3 has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.
Which sibling models are related to Muse Spark 1.3?
Muse Spark 1.3 belongs to the Muse Spark family. Related tracked variants include Muse Spark 1.1, Muse Spark 1.2, 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 1.3 have full benchmark coverage on BenchLM?
No. Muse Spark 1.3 currently has 11 source-displayable rows across 416 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 1.3?
Muse Spark 1.3 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 1.3 with every tracked model409 comparisons
Last updated September 2, 2026. Runtime fields remain blank until a sourced snapshot exists.
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