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Muse Spark Open 816B A42b

Muse Spark Open 816B A42b is a Meta open-weights reasoning model, released 15 Oct 2026. Its best configuration (xhigh reasoning effort) ranks #166 of 761 on the BenchLeader Index at 57.4 ±6.8, in the upper half. The ± is the point: 311 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in reasoning (64) and lowest in maths (60). At $2.00 per million tokens blended it is pricier than most ranked models. Last measured 15 Oct 2026.

Blended price
$2.00/M
$1.25 in · $4.25 out
Output speed
–
First answer
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Context
1.0M
Full answer
–
Cost per run
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Released
15 Oct 2026
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index57
  2. Reasoning64
  3. Maths60
  4. Knowledge62

Benchmark results

See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.

Reasoning

BenchmarkxhighSource
GPQA Diamond88.6%#57Epoch AI Benchmarking Hub

Knowledge

BenchmarkxhighSource
SimpleQA Verified56.6%#19Epoch AI Benchmarking Hub

What a task costs

Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache at $0.150 per 1M. Reasoning tokens are not modelled.

WorkloadTokens in / outCostWith cachingTime
Chat reply400 / 300$0.0018$0.0014–
Summarise a 30-page report12,000 / 600$0.018$0.0077–
Code edit6,000 / 1,500$0.014$0.0089–
Agentic coding session60,000 / 4,000$0.092$0.043–
Structured extraction2,000 / 200$0.0034$0.0017–

More from Meta

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See also

Data as of 18 Oct 2026. Compare with another model.

Cite as: BenchLeader, “Muse Spark Open 816B A42b: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/muse-spark-open-816b-a42b, data as of 18 Oct 2026.