Model profile
Muse Spark
Evidence coverage
39 of 323 tracked benchmarks are published. 24 are verified and 15 provisional. 7 of 8 categories are measured.
- Published / tracked
- 39 / 323
- Verified
- 24
- Provisional
- 15
- Categories with evidence
- 7 / 8
Evidence by category
- Agentic8 benchmarksMixed evidence
- Coding6 benchmarksMixed evidence
- Reasoning3 benchmarksMixed evidence
- Knowledge11 benchmarksMixed evidence
- Math2 benchmarksVerified
- Multilingual0 benchmarksNot measured
- Multimodal8 benchmarksMixed evidence
- Inst. Following1 benchmarkReported
Muse Spark ranks #13 out of 200 models on the public leaderboard with an overall score of 71.04/100. It also ranks #11 out of 99 on the verified leaderboard. This places it in the upper tier of AI models, with competitive scores across most benchmark categories.
Muse Spark is a proprietary model with a 262K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
Muse Spark sits inside the Muse Spark family alongside Muse Spark 1.1. This profile currently has 39 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Multimodal & Grounded (#7), while its weakest is Agentic (#14). This performance profile makes it particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Peer position
Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 68.59–72.84
- Qwen3.7 MaxAlibabaCompare#1072.84Qwen3.7 Max is #10 with a score of 72.84.
- GPT-5.6 TerraOpenAICompare#1172.57GPT-5.6 Terra is #11 with a score of 72.57.
- Claude Opus 4.7AnthropicCompare#1271.94Claude Opus 4.7 is #12 with a score of 71.94.
- Muse SparkCurrent modelMeta#1371.04Muse Spark is #13 with a score of 71.04.
- MiMo-V2.5-ProXiaomiCompare#1470.19MiMo-V2.5-Pro is #14 with a score of 70.19.
- MiniMax M3MiniMaxCompare#1569.75MiniMax M3 is #15 with a score of 69.75.
- Claude Opus 4.6AnthropicCompare#1668.59Claude Opus 4.6 is #16 with a score of 68.59.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Multimodal79%Eligible cohort rank #7 of 29Category score 76.3
- Coding90%Eligible cohort rank #13 of 122Category score 64.2
- Agentic89%Eligible cohort rank #14 of 119Category score 59.4
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank #14 of 119Percentile 89thWeight 22%8 benchmarksMixed sources | 59.4 | #14 of 119 | 89th | 22% | 8 benchmarks | Mixed sources |
| CodingRank #13 of 122Percentile 90thWeight 20%6 benchmarksMixed sources | 64.2 | #13 of 122 | 90th | 20% | 6 benchmarks | Mixed sources |
| ReasoningRank Not rankedWeight 17%3 benchmarksMixed sources | 55.3 | Not ranked | Not available | 17% | 3 benchmarks | Mixed sources |
| KnowledgeRank Not rankedWeight 12%11 benchmarksMixed sources | 79.0 | Not ranked | Not available | 12% | 11 benchmarks | Mixed sources |
| MathRank Not rankedWeight 5%2 benchmarksVerified | 56.0 | Not ranked | Not available | 5% | 2 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalRank #7 of 29Percentile 79thWeight 12%8 benchmarksMixed sources | 76.3 | #7 of 29 | 79th | 12% | 8 benchmarks | Mixed sources |
| Inst. FollowingWeight 5%1 benchmarkReported | Score pending | Not ranked | Not available | 5% | 1 benchmark | Reported |
Chatbot Arena performance
Scroll horizontally to inspect confidence intervals and vote counts.
| View | Elo | Confidence interval | Votes |
|---|---|---|---|
| Text Overall | 1487 | ±5.9 | 13,562 |
| Coding | 1525 | ±10.2 | 3,777 |
| Math | 1461 | ±19.9 | 858 |
| Instruction Following | 1463 | ±9.3 | 4,470 |
| Creative Writing | 1463 | ±14.1 | 1,941 |
| Multi-turn | 1492 | ±13.5 | 2,164 |
| Hard Prompts | 1504 | ±7.1 | 8,707 |
| Hard Prompts (English) | 1506 | ±9.5 | 4,336 |
| Longer Query | 1473 | ±8.9 | 5,259 |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic8 benchmarks
τ²-Bench Tool-Agent-User Evaluation
Artificial Analysis Agentic Index
GDPval-AA normalized
Coding6 benchmarks
Software Engineering Benchmark Verified
Vibe Code Bench v1.1
Artificial Analysis Coding Index
Artificial Analysis SciCode
Reasoning3 benchmarks
Abstraction and Reasoning Corpus for AGI v2
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge11 benchmarks
Humanity's Last Exam
GPQA Diamond
Humanity's Last Exam without tools
MedXpertQA Text
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Math2 benchmarks
FrontierMath v2 Tiers 1-3
FrontierMath v2 Tier 4
Multimodal8 benchmarks
Massive Multi-discipline Multimodal Understanding Pro
CharXiv Reasoning
MedXpertQA Multimodal
Artificial Analysis MMMU-Pro
Inst. Following1 benchmark
Artificial Analysis IFBench
Frequently Asked Questions
How does Muse Spark perform overall in AI benchmarks?
Muse Spark has 39 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is Muse Spark good for knowledge and understanding?
Muse Spark has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is Muse Spark good for coding and programming?
Muse Spark ranks #13 out of 122 models in coding and programming benchmarks with an average score of 64.2. There are stronger options in this category.
Is Muse Spark good for mathematics?
Muse Spark has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is Muse Spark good for reasoning and logic?
Muse Spark has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is Muse Spark good for agentic tool use and computer tasks?
Muse Spark ranks #14 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 59.4. There are stronger options in this category.
Is Muse Spark good for multimodal and grounded tasks?
Muse Spark ranks #7 out of 29 models in multimodal and grounded tasks benchmarks with an average score of 76.3. It is among the top performers in this category.
Is Muse Spark good for instruction following?
Muse Spark has visible benchmark coverage in instruction following, but BenchLM does not currently assign it a global category rank there.
Which sibling models are related to Muse Spark?
Muse Spark belongs to the Muse Spark family. Related variants on BenchLM include Muse Spark 1.1.
Does Muse Spark have full benchmark coverage on BenchLM?
Not yet. Muse Spark currently has 39 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of Muse Spark?
Muse Spark has a published context window of 262K, which determines how much text it can process in a single interaction.
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