Muse Spark
BenchLM is tracking Muse Spark, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
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.
This profile currently has 20 of 151 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 (#21). This performance profile makes it particularly strong for screenshots, documents, charts, and grounded multimodal workflows.
Ranking Distribution
Category rank across 1 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
#21Inst. Following
Artificial Analysis Snapshot
External frontier-model reference data from Artificial Analysis, updated 2026-04-08. BenchLM uses these signals as a bounded calibration input for coding, agentic, and final display ordering.
Intelligence Index
52.15
Coding Index
47.47
Agentic Index
61.99
Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how Muse Spark stacks up against similar models
Frequently Asked Questions
How does Muse Spark perform overall in AI benchmarks?
Muse Spark has 20 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 has visible benchmark coverage in coding and programming, 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 has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is Muse Spark good for multimodal and grounded tasks?
Muse Spark ranks #21 out of 106 models in multimodal and grounded tasks benchmarks with an average score of 80.4. There are stronger options in this category.
Does Muse Spark have full benchmark coverage on BenchLM?
Not yet. Muse Spark currently has 20 published benchmark scores out of the 151 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 context window of 262K, which determines how much text it can process in a single interaction.
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