Capability
76.7/100
field median 58
#7 of 224 ranked models
Superseded.Meta has newer models in this line:Muse Spark 1.2
Muse Spark 1.1
Released Jul 9, 2026 — see all recent releases
Decision reading
Muse Spark 1.1 scores 76.7 out of 100 and ranks #7 of 224. This profile shows 21 source-displayable benchmark rows; its strongest eligible category is Knowledge at #2. No comparable first-party API price is published in the catalog.
Data as of August 22, 2026 · How the score is built
Strongest published evidence
Knowledge ranks #2. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Validate before choosing
21 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
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
Not listed
input median $1
No comparable first-party hosted token rate
Speed
217tok/s
field median 91.5 tok/s
First token 12.12 s
Context
1Mtokens
field median 200,000
Reported for this model; direct source link not stored
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 1.1 category percentile values
- Agentic86th percentile
- Coding91st percentile
- ReasoningNot eligible
- Knowledge98th percentile
- MathNot eligible
- MultilingualNot eligible
- MultimodalNot eligible
- Instruction followingNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#20/137
- Coding#14/141
- ReasoningNot ranked
- Knowledge#2/60
- MathNot ranked
- MultilingualNot ranked
- MultimodalNot ranked
- Inst. FollowingNot ranked
Top decileTop quartileMid-fieldNot eligible
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.
- Agentic13/13 verified
- Coding2/2 verified
- Reasoning1/1 verified
- Knowledge3/3 verified
- MathNot measured
- MultilingualNot measured
- Multimodal2/2 verified
- 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
- Not published
- Context window
- 1M
- 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
- Not sourced yet
- Cloud regions
- Not tracked yet
- Lifecycle
- Superseded
- API capabilities
- Tool calling, structured outputs, and batch support are not tracked yet
- Prompt caching
- Not documented in the pricing record
- 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 |
|---|---|---|---|---|---|---|
| AgenticRank #20 of 137Percentile 86thWeight 22%13 benchmarksVerified | 60.5 | #20 of 137 | 86th | 22% | 13 benchmarks | Verified |
| CodingRank #14 of 141Percentile 91stWeight 20%2 benchmarksVerified | 65.5 | #14 of 141 | 91st | 20% | 2 benchmarks | Verified |
| ReasoningWeight 17%1 benchmarkVerified | Score pending | Not ranked | Not available | 17% | 1 benchmark | Verified |
| KnowledgeRank #2 of 60Percentile 98thWeight 12%3 benchmarksVerified | 93.5 | #2 of 60 | 98th | 12% | 3 benchmarks | Verified |
| 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 |
| MultimodalRank Not rankedWeight 12%2 benchmarksVerified | 76.3 | Not ranked | Not available | 12% | 2 benchmarks | Verified |
| 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.
Coding2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score61.5% | Versus best verified row Best verified: Claude Mythos 5 · 80.3% | Gap18.8 behind | WeightWeighted 10% | Provider exact |
| Terminal-Bench 2.0 | Score80.0% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap11.9 behind | WeightDisplay only | Provider exact |
Agentic13 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| Terminal-Bench 2.0 | Score80% | Versus best verified row Best verified: GPT-5.6 Sol · 91.9% | Gap11.9 behind | WeightWeighted 38% | Provider exact |
| OSWorld-Verified | Score80.8% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap5.3 behind | WeightWeighted 34% | Provider exact |
| MCP Atlas | Score88.1% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | GapBest verified | WeightDisplay only | Provider exact |
| Toolathlon | Score75.6% | Versus best verified row Best verified: Muse Spark 1.1 · 75.6% | GapBest verified | WeightDisplay only | Provider exact |
| WebArena-VerifiedWebArena-Verified Browser Agent Benchmark | Score69% | Versus best verified row Best verified: Muse Spark 1.1 · 69% | GapBest verified | WeightDisplay only | Provider exact |
| DeepSearchQA | Score84.9% | Versus best verified row Best verified: Claude Opus 5 · 95.0% | Gap10.1 behind | WeightDisplay only | Provider exact |
| CyberGym | Score59.0% | Versus best verified row Best verified: Fugu Cyber · 86.9% | Gap27.9 behind | WeightDisplay only | Provider exact |
| Finance Agent v2 | Score57.2% | Versus best verified row Best verified: Gemini 3.5 Flash · 57.9% | Gap0.7 behind | WeightDisplay only | Provider exact |
| deepSwe | Score53.3% | Versus best verified row Best verified: Muse Spark 1.1 · 53.3% | GapBest verified | WeightDisplay only | Provider exact |
| OSWorld 2.0 | Score14.2% | Versus best verified row Best verified: Claude Opus 5 · 70.6% | Gap56.4 behind | WeightDisplay only | Provider exact |
| JobBench | Score54.7% | Versus best verified row Best verified: Muse Spark 1.1 · 54.7% | GapBest verified | WeightDisplay only | Provider exact |
| Cybench | Score92.9% | Versus best verified row Best verified: Muse Spark 1.1 · 92.9% | GapBest verified | WeightDisplay only | Provider exact |
| ExploitGym | Score0.8% | Versus best verified row Best verified: GPT-5.6 Sol · 33.7% | Gap32.9 behind | WeightDisplay only | Provider exact |
Reasoning1 row
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| MRCR 1M | Score54.1% | Versus best verified row Best verified: DeepSeek V4 Pro 0813 · 83.5% | Gap29.4 behind | WeightDisplay only | Provider exact |
Knowledge3 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score62.1% | Versus best verified row Best verified: Claude Opus 5 · 64.7% | Gap2.6 behind | WeightWeighted 45% | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score52.2% | Versus best verified row Best verified: Claude Mythos 5 · 59% | Gap6.8 behind | WeightDisplay only | Provider exact |
| HealthBench Professional | Score59.3% | Versus best verified row Best verified: GPT-5.6 Sol · 60.5% | Gap1.2 behind | WeightDisplay only | Provider exact |
Multimodal2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| CharXivCharXiv Reasoning | Score88.4% | Versus best verified row Best verified: Claude Mythos 5 · 93.5% | Gap5.1 behind | WeightWeighted 25% | Provider exact |
| BabyVision | Score76.3% | Versus best verified row Best verified: Qwen3.8 Max · 82.0% | Gap5.7 behind | WeightDisplay only | Provider exact |
Lineage
The sequence follows explicit supersedes links. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Apr 8, 2026
Muse SparkScore 70.6 · Price not listed
Jul 9, 2026 · you are here
Muse Spark 1.1Score 76.7 · Price not listed
Aug 5, 2026
Muse Spark 1.2Score 61.4 · $1.25 / $4.25
1.1 · 1.1
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 1.1 ranks #7 of 224 on the public leaderboard with a score of 76.74/100. Its source-verified position is #7 of 104.
Muse Spark 1.1 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.
Muse Spark 1.1 sits in the Muse Spark family with Muse Spark 1.2, Muse Spark. Its explicit predecessor is Muse Spark. 21 of 402 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #2, while its lowest eligible position is Agentic at #20. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Radar
Full release historyMuse Spark 1.1 release history
Muse Spark 1.1 released
Meta · Model release
Source confirmed
Frequently asked questions
How does Muse Spark 1.1 perform overall in AI benchmarks?
Muse Spark 1.1 ranks #7 out of 224 models on the public BenchAlign leaderboard, with a score of 76.74/100. Its evidence status is Supported, and this profile shows 21 source-displayable benchmark rows. The label describes evidence depth, not a provider quality claim; inspect category rows before choosing a workload.
Is Muse Spark 1.1 good for knowledge and understanding?
Muse Spark 1.1 ranks #2 out of 60 eligible models for knowledge and understanding, with a public category score of 93.5/100. 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 1.1 good for coding and programming?
Muse Spark 1.1 ranks #14 out of 141 eligible models for coding and programming, with a public category score of 65.5/100. 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 1.1 good for reasoning and logic?
Muse Spark 1.1 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 1.1 good for agentic tool use and computer tasks?
Muse Spark 1.1 ranks #20 out of 137 eligible models for agentic tool use and computer tasks, with a public category score of 60.5/100. 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 1.1 good for multimodal and grounded tasks?
Muse Spark 1.1 has source-displayable benchmark coverage for multimodal and grounded 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 1.1?
Muse Spark 1.1 belongs to the Muse Spark family. Related tracked variants include 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 1.1 have full benchmark coverage on BenchLM?
No. Muse Spark 1.1 currently has 37 source-displayable rows across 402 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 1.1?
Muse Spark 1.1 has a reported context window of 1M in the exact-model catalog record. The value stays visible, but the profile marks its source link as unavailable instead of presenting it as directly documented. Maximum output length remains separate because providers often publish a different limit.
Last updated August 22, 2026. Runtime fields remain blank until a sourced snapshot exists.
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