Muse Spark Open
Released 15 Oct 20261M context816B total / 42B activeMuse Model LicenseAlso written as Muse Spark Open, meta/muse-spark-open, Meta: Muse Spark Open, Muse-Spark-Open-816B-A42B
2 results on 2 of 14 boards, latest measured Nov 2026. Compare with other models
On the Clinical Benchmarks Index
The top 15 on the index, then Muse Spark Open at rank 87. Select a column to open that model.
Board by board
Muse Spark Open against the top 10 on each board it has a result on, on that board's own scale. Its own column is in colour.
Bedside Benchrank 2 of 15
- 94.6Claude Opus 5
- 94.3Muse Spark Open
- 93.4GPT-6 Astra
- 92.7Gemini 4 Argon
- 91.1GPT-5.6 Sol
- 89.7Kimi K3
- 89.1Ember-1
- 88.1GPT-6 Sol
- 87.2GPT-6 Luna
- 86.9GLM 5.3
15 modelsFull board
MLCR-AArank 26 of 27
- 41.7Claude Sonnet 5.5 (Max, Default Fallback)
- 41.7GPT-6 Astra (Max)
- 38.3GPT-6.1 Sol (Max)
- 38.3Kimi K3.1 Pro
- 35.0Claude Haiku 5.5 (Max)
- 33.9GPT-6 Sol (Max)
- 31.7GPT-5.5 Instant (June 2026)
- 30.6GPT-6.1 Terra (Max)
- 27.8Claude Opus 5.5
- 7.8Muse Spark Open (Xhigh)
27 modelsFull board
Every result, with its source
Each line sits on its own board's scale. Tall tick: the board leader.
Clinical reasoning and knowledge
- Bedside BenchScore (avg@3)94.3Rank 2 of 15 here, 16 models on the boardLeader Claude Opus 5 94.6
Documentation and coding
- MLCR-AAoverall pass rate, Xhigh7.8Rank 26 of 27Leader Claude Sonnet 5.5 (Max, Default Fallback) 41.7
Index working
Show the working: each board’s result, how hard the board runs and the field average
The Clinical Benchmarks Index is this site's own calculation from 12 boards. How it is computed
- Bedside Bench94.394.3+39.2 easy board55.10.25 weight, near its ceilingNear its ceiling: leader 94.6, weight 0.25Score (avg@3)
- MLCR-AA7.87.8−26.5 hard board34.30.6 weightoverall pass rate, Xhigh
- Adjusted average of 2 boards, by weight
- 40.4
- Field average, counts for 42.9% with 2 of 12 boards
- 44.2
- Index
- = 42.0
Score: the result on the board’s own 0 to 100 scale (dot; tick: the board’s leader). Board runs: how far the board’s scores sit above or below the same models’ scores on the other boards. Adjusted: the score minus that offset. The index is the adjusted average with the field average mixed in, more of it the fewer boards a model has. Each result links to its quote and page; the line under it is the setting it was measured with.
Sources
The quote, page and document for each of the 2 results
2Bedside Bench Score 94.3
Printed as 94.3Official leaderboard, measured Oct 2026Configuration: Score (avg@3)Bedside Bench on the Fireworks Specialized Intelligence Index official leaderboard, Fireworks AI, 22 Oct 2026. https://fireworks.ai/specialized-intelligence-index/benchmarks/healthcare/bedside-bench (feed: benchmarks[id=healthcare/bedside-bench].results)Muse Spark Open 94.3 (Score (avg@3)), rank 3
Every result from this document- Also printed in Fireworks Specialized Intelligence Index (machine-readable feed): 94.3
26MLCR-AA overall pass rate 7.8
Printed as 7.8%Independent run, measured Nov 2026Configuration: overall pass rate, XhighMLCR-AA (Medical Long Context Reasoning), Artificial Analysis official leaderboard, Artificial Analysis, 5 Nov 2026. artificialanalysis.ai/evaluations/mlcr-aa, Score chart (mlcrAaOverallPassRate)Muse Spark Open (Xhigh): 7.8% (Score: share of responses judged complete with no claim contradicting the record)
Every result from this document- Mirrored by https://benchlm.ai/md/benchmarks/aamlcr.md: 7.8%
Other Meta models: Llama 4 Maverick, Llama 4 Scout, Muse Spark, Muse Spark 1.1, Muse Spark 1.2, Muse Spark 1.3, Muse Wonder, Muse Wonder Full