Meta · Model release
Data as of October 7, 2026 · How the score is built
Released Jul 9, 20261M context
Muse Spark 1.1
Decision readingMuse Spark 1.1 scores 66 out of 100 and ranks #31 of 216. This profile shows 26 source-displayable benchmark rows; its strongest eligible category is Knowledge at #21. No comparable first-party API price is published in the catalog.
Released Jul 9, 2026 — see all recent releases
Muse Spark 1.1 will be repriced, updated or retired. Get each notice with its source and date. Follow model changes
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
66/100
field median 52.1#31 of 216 ranked models
Public
#31of 216
Verified #22 of 83
Price
Not listed
input median $0.95No comparable first-party hosted token rate
Speed
217tok/s
field median 97 tok/sFirst token 12.12 s
Context
1Mtokens
field median 256,000Reported for this model; direct source link not stored
Strongest published evidence
Knowledge ranks #21. Particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Validate before choosing
26 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.
Source-linked · 26 displayable benchmark rows
Follow model changesCategory 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 #32 of 122Percentile 74thWeight 22%14 benchmarksVerified | 56.9 | 14 benchmarks | Verified | |||
| CodingRank #35 of 146Percentile 77thWeight 20%4 benchmarksVerified | 54.2 | 4 benchmarks | Verified | |||
| ReasoningRank Not rankedWeight 17%1 benchmarkVerified | 75.7 | 1 benchmark | Verified | |||
| MultimodalRank Not rankedWeight 12%2 benchmarksVerified | 78.3 | 2 benchmarks | Verified | |||
| KnowledgeRank #21 of 174Percentile 88thWeight 12%5 benchmarksVerified | 66.7 | 5 benchmarks | Verified | |||
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| Inst. FollowingWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured | |||
| MathWeight 5%0 benchmarksNot measured | Not measured | 0 benchmarks | Not measured |
26 of 665 tracked benchmark slots have displayable evidence · bars run 0–100
Coverage detailsHow 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.
- Agentic14/14 verified
- Coding4/4 verified
- Reasoning1/1 verified
- Multimodal2/2 verified
- Knowledge5/5 verified
- MultilingualNot measured
- Inst. FollowingNot measured
- MathNot measured
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
- Agentic74th percentile
- Coding77th percentile
- ReasoningNot eligible
- MultimodalNot eligible
- Knowledge88th percentile
- MultilingualNot eligible
- Instruction followingNot eligible
- MathNot eligible
The dashed outline is median of 6 nearest peers.
Eligible category ranks
- Agentic#32/122
- Coding#35/146
- ReasoningNot ranked
- MultimodalNot ranked
- Knowledge#21/174
- MultilingualNot ranked
- Inst. FollowingNot ranked
- MathNot ranked
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.
Coding4 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| SWE-bench Pro | Score61.5% | Versus best verified row Best verified: Claude Opus 5.5 · 89.9% | Gap28.4 behind | Weight26% ref. weight | Provider exact |
| LiveCodeBench (Vals)LiveCodeBench, Vals AI run | Score85.9% | Versus best verified row Best verified: Claude Fable 5.1 · 90.5% | Gap4.6 behind | Weight8% ref. weight | |
| Terminal-Bench 2.1 | Score80.0% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap12.8 behind | WeightScored in Agentic | Provider exact |
| SWE-bench (Vals)SWE-bench, Vals AI run | Score82.0% | Versus best verified row Best verified: Claude Opus 5 · 97.0% | Gap15 behind | WeightDisplay only | Verified |
Agentic14 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| OSWorld 2.0 | Score14.2% | Versus best verified row Best verified: GPT-6 Astra · 72.6% | Gap58.4 behind | Weight10% ref. weight | Provider exact |
| Terminal-Bench 2.1 | Score80.0% | Versus best verified row Best verified: SWE-2 · 92.8% | Gap12.8 behind | Weight8% ref. weight | Provider exact |
| OSWorld-Verified | Score80.8% | Versus best verified row Best verified: Qwen3.8 Max · 86.1% | Gap5.3 behind | Weight6% ref. weight | Provider exact |
| JobBench | Score54.7% | Versus best verified row Best verified: Muse Spark 1.3 · 64.9% | Gap10.2 behind | Weight5% ref. weight | Provider exact |
| MCP Atlas | Score88.1% | Versus best verified row Best verified: Muse Spark 1.1 · 88.1% | GapBest verified | Weight4% ref. weight | Provider exact |
| Terminal-Bench 2.1 (Vals)Terminal-Bench 2.1, Vals AI run | Score69.3% | Versus best verified row Best verified: GPT-6 Astra · 87.3% | Gap18 behind | Weight3% ref. weight | |
| Toolathlon | Score75.6% | Versus best verified row Best verified: Muse Spark 1.1 · 75.6% | GapBest verified | Weight3% ref. weight | Provider exact |
| DeepSearchQA | Score84.9% | Versus best verified row Best verified: Atria Dawn Preview · 96.0% | Gap11.1 behind | Weight2% ref. weight | 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 |
| CyberGym | Score59.0% | Versus best verified row Best verified: MiMo-V2.6-Flash · 95.1% | Gap36.1 behind | WeightDisplay only | Provider exact |
| Finance Agent v2 | Score57.2% | Versus best verified row Best verified: Gemini 4 Argon · 65.4% | Gap8.2 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 |
| Cybench | Score92.9% | Versus best verified row Best verified: Mistral Large 4 · 93.0% | Gap0.1 behind | WeightDisplay only | Provider exact |
| ExploitGym | Score0.8% | Versus best verified row Best verified: GPT-6 Astra · 42.4% | Gap41.6 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 |
Multimodal2 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| CharXivCharXiv Reasoning | Score88.4% | Versus best verified row Best verified: Qwen3.8 Max · 93.5% | Gap5.1 behind | WeightWeighted 20% | Provider exact |
| BabyVision | Score76.3% | Versus best verified row Best verified: Qwen3.8 Max · 82.0% | Gap5.7 behind | WeightDisplay only | Provider exact |
Knowledge5 rows
| Benchmark | Score | Versus best verified row | Gap | Weight | Evidence |
|---|---|---|---|---|---|
| HLEHumanity's Last Exam | Score62.1% | Versus best verified row Best verified: Claude Fable 5.1 · 65% | Gap2.9 behind | Weight44% ref. weight | Provider exact |
| HLE w/o toolsHumanity's Last Exam without tools | Score52.2% | Versus best verified row Best verified: Claude Opus 5.5 · 64.4% | Gap12.2 behind | Weight7% ref. weight | Provider exact |
| MMLU-Pro (Vals)MMLU-Pro, Vals AI run | Score88.7% | Versus best verified row Best verified: Claude Fable 5.1 · 92.4% | Gap3.7 behind | Weight6% ref. weight | Verified |
| GPQA Diamond (Vals)GPQA Diamond, Vals AI run | Score91.2% | Versus best verified row Best verified: Gemini 3.1 Pro · 95.5% | Gap4.3 behind | Weight2% ref. weight | |
| HealthBench Professional | Score59.3% | Versus best verified row Best verified: Claude Sonnet 5.5 · 69.2% | Gap9.9 behind | WeightDisplay only | Provider exact |
Bars run 0–100; the dark tick marks the best source-verified value
All 26 rowsLineage
The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.
Muse Spark 1.1 release history
Radar confirmed these at the source. Use Muse Spark 1.1 in your work? Explore Radar to follow supported changes and choose your alerts.
Radar
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
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 #31 of 216 on the public leaderboard with a score of 65.95/100. Its source-verified position is #22 of 83.
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 1.3, Muse Spark, Muse Spark 1.2. Its explicit predecessor is Muse Spark. 26 of 665 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.
Its strongest eligible category is Knowledge at #21, while its lowest eligible position is Coding at #35. particularly effective for knowledge-intensive tasks like research, analysis, and factual Q&A.
Last updated October 7, 2026. Runtime fields remain blank until a sourced snapshot exists.
Questions
How does Muse Spark 1.1 perform overall in AI benchmarks?
Muse Spark 1.1 ranks #31 out of 216 models on the public BenchAlign leaderboard, with a score of 65.95/100. Its evidence status is Supported, and this profile shows 26 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 #21 out of 174 eligible models for knowledge and understanding, with a public category score of 66.7/100. 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 coding and programming?
Muse Spark 1.1 ranks #35 out of 146 eligible models for coding and programming, with a public category score of 54.2/100. 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 #32 out of 122 eligible models for agentic tool use and computer tasks, with a public category score of 56.9/100. 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 1.3, Muse Spark, Muse Spark 1.2. 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 40 source-displayable rows across 665 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.