readable AI benchmarks (simplified)

readable AI benchmarks

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Muse Spark 1.2 (Xhigh)

reasoning · closed weights · Aug 5, 2026

Muse Spark 1.2 (Xhigh) has a Quality Score of 62.2, ranking 55th among 577 scored models. Per 1M tokens, pricing is $1.25 input, $4.25 output, and $0.150 cached input. It accepts text, image, video, pdf, and audio input, outputs text, and has a 1,048,576 token context window. Its Reliability Score is 63.6, ranking 41st among 579 scored models, above average (total average: 36.6). Its Value Score is 44.9, high compared with the total Value average of 31.8.

Quality Score62.2coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score44.9
Factual reliability63.6
Cache Discount88%

Model specification

Reasoning
reasoning
Input modalities
text, image, video, pdf, audio
Output modalities
text
Context window
1,048,576 tokens
Weights
closed weights

Token prices USD per 1M tokens

Input
$1.25
Output
$4.25
Cached Input
$0.150
Cache write
not available
Cost per task
$0.975

Capability

Intelligence
39.6
Coding
not available
Agentic
not available
Omniscience
27.2
Correct
45.4%
Blended price
$0.780

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 63.6%

Correct 45.4%Incorrect 18.2%Partial / not attempted 36.4%

Artificial Analysis benchmarks

GDPval-AA v2
49%
τ³-Banking
35%
SciCode
57%
Humanity’s Last Exam
45%
GPQA Diamond
90%
CritPt
18%
AA-Omniscience
64%
AA-LCR
79%

DeepSWE operational cross-check

Pass@1
54.9%
Avg steps/scored attempt
100.76
Mean cost/scored attempt (USD)
$3.70
Mean output tokens/scored attempt
99,226.381
Mean duration/scored attempt (s)
928 s

Mean cost/scored attempt is the official feed's mean_cost_usd: mean benchmark cost in USD per scored attempt under the source's cost basis. It is not Artificial Analysis cost per task and not token price (USD per 1M tokens). Mean output tokens/scored attempt is mean_output_tokens, also averaged over every scored attempt including scored failures. Mean duration/scored attempt is mean_duration_seconds; it is informational only, and wall-clock varies with provider and host load. These three fields do not affect Quality Score, Value Score, or Reliability. Epoch General ECI's benchmark basket includes DeepSWE v1.1, so Epoch General ECI and this DeepSWE cross-check are not independent evidence.

official DeepSWE v1.1 source

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