BenchLeader
MetaReasoning modelAuto-detected

Muse Spark 1.3

Best configuration ranks #41 of 610 on the BenchLeader Index at 63.9 ±5.4 (xhigh reasoning effort). Last measured 8 Sept 2026. Released 2 Sept 2026.

Blended price
$2.00/M
$1.25 in · $4.25 out
Output speed
193 tok/s
First answer
40 s
first token 3.68 s
Context
1M
How it scores by categoryDashed line = average model (50). One step of 15 = one standard deviation.
  1. Overall index64
  2. Coding71
  3. Agents & tools60
  4. Knowledge75
  5. Multimodal67
  6. Long context68
  7. Composite79

Reasoning-effort configurations

The same model behaves differently depending on how much it is allowed to think. Each row is one setting, scored only on the benchmarks that were run at that setting. “Default” means the publisher did not say which setting was used.

EffortIndexRankSpeedFirst answerChat reply costCategories
xhighbest63.9#41193 tok/s40 s$0.0018Agents & tools 60 · Coding 71 · Composite 79 · Knowledge 75 · Long context 68 · Multimodal 67
max226 tok/s36 s$0.0018Agents & tools 67 · Coding 74
default226 tok/s36 s$0.0018Composite 90 · Knowledge 76 · Long context 68

Benchmark results

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

BenchmarkxhighmaxdefaultSourceTrend
LiveBench Reasoningnot in index89.7%#9LiveBench
GPQA Diamond (AA)not in index94.1%#793.5%#14Artificial Analysis
Humanity's Last Exam (AA)not in index47.5%#2148.7%#17Artificial Analysis

Coding

BenchmarkxhighmaxdefaultSourceTrend
LMArena WebDev1625#101650#7LMArena
LiveBench Codingnot in index81.1%#11LiveBench
SciCode (AA)not in index59.7%#558.8%#8Artificial Analysis

Agents & tools

BenchmarkxhighmaxdefaultSourceTrend
LiveBench Agentic Codingnot in index64.1%#5LiveBench
Terminal-Bench 2.1 (Vals)72.3%#1779.0%#8Vals AI

Maths

BenchmarkxhighmaxdefaultSourceTrend
LiveBench Mathematicsnot in index96.0%#5LiveBench

Knowledge

BenchmarkxhighmaxdefaultSourceTrend
LiveBench Data Analysisnot in index79.6%#6LiveBench
AA-Omniscience23.1#3325#31Artificial Analysis

Instruction following

BenchmarkxhighmaxdefaultSourceTrend
LiveBench Languagenot in index82.8%#17LiveBench

Multimodal

BenchmarkxhighmaxdefaultSourceTrend
MMMU-Pro82.0%#22Artificial Analysis

Long context

BenchmarkxhighmaxdefaultSourceTrend
AA-LCR83.0%#1283.0%#12Artificial Analysis

Composite

BenchmarkxhighmaxdefaultSourceTrend
LiveBench81.6%#4LiveBench
AA Intelligence Index45.2#1848.2#13Artificial Analysis
Vals Indexnot in index60.3#964.5#5Vals AI

Where it wins

Benchmarks where this configuration ranks in the top five of every configuration measured.

Where to run it

Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.

ProviderSpeedFirst tokenInput $/MOutput $/MContextQuantisation
Meta76 tok/s3.68 s$1.25$4.251.0M

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$0.001441.5 s
Summarise a 30-page report12,000 / 600$0.018$0.007743.1 s
Code edit6,000 / 1,500$0.014$0.008947.7 s
Agentic coding session60,000 / 4,000$0.092$0.0431.0 min
Structured extraction2,000 / 200$0.0034$0.001741.0 s

See also

Data as of 9 Sept 2026. Compare these configurations.