Meta AIproprietary
Released: 2025-04-15

Muse Wonder

Meta Superintelligence Labs agentic foundation model featuring Active Memory across weeks and Active Focus through technical blockers, with native computer-use capabilities.

Intelligence Index
92.8/ 100
Calibrated multi-domain composite
Throughput Speed
85tok/sec
Output streaming throughput
Time To First Token
340ms
Initial chunk server latency
LiveBench Contam-Free
80.8%
September 2026 suite score

Sourced Benchmark Evaluations (61)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-3Active60.1%
93
2025-05-20independentSource ↗
ARC-AGI-2Nearing Saturation72.2%
75
2025-05-13independentSource ↗
FrontierMathActive25.5%
98
2025-05-10independentSource ↗
PutnamBenchActive47.3%
90
2025-05-09independentSource ↗
SWE-LancerDeprecated59.5%
20
2025-05-07independentSource ↗
Omni-MATHDeprecated67.3%
10
2025-05-07independentSource ↗
SoohakActive69.2%
98
2025-05-05independentSource ↗
FrontierCodeActive50.8%
98
2025-05-05independentSource ↗
Humanity's Last ExamActive40.7%
93
2025-05-03independentSource ↗
StructFlowBenchNearing Saturation72.6%
75
2025-05-03independentSource ↗
AIMENearing Saturation86.5%
75
2025-05-03independentSource ↗
OlympiadBenchActive74.6%
80
2025-05-02independentSource ↗
MathArenaActive72.8%
99
2025-05-01independentSource ↗
FireBenchActive71.7%
95
2025-05-01independentSource ↗
Terminal-BenchActive61.2%
80
2025-05-01independentSource ↗
OpenAI-MRCRActive78%
80
2025-04-30independentSource ↗
SimpleQAActive48.3%
90
2025-04-30independentSource ↗
CodeContestsDeprecated56.9%
10
2025-04-30independentSource ↗
ComplexBenchNearing Saturation70%
80
2025-04-29independentSource ↗
SWE-bench ProActive54.3%
90
2025-04-29independentSource ↗
LongBench-ProActive76.1%
80
2025-04-29independentSource ↗
ZeroSCROLLSNearing Saturation74.2%
78
2025-04-28independentSource ↗
MultiPL-EDeprecated80.5%
10
2025-04-28independentSource ↗
LiveCodeBenchSaturated71.8%
39
2025-04-27independentSource ↗
AgentIFNearing Saturation58.1%
80
2025-04-27independentSource ↗
MATHSaturated89.2%
25
2025-04-27independentSource ↗
InfiniteBenchNearing Saturation78.9%
65
2025-04-27independentSource ↗
MercuryDeprecated77%
10
2025-04-26independentSource ↗
SCROLLSNearing Saturation74.2%
65
2025-04-26independentSource ↗
MMLU-ProNearing Saturation85.4%
75
2025-04-26independentSource ↗
RULERNearing Saturation85.4%
84
2025-04-25independentSource ↗
TabMWPSaturated83.7%
25
2025-04-25independentSource ↗
CyberSecEvalDeprecated78.8%
10
2025-04-25independentSource ↗
SWE-bench VerifiedSaturated68.3%
25
2025-04-24independentSource ↗
MMLU-ReduxSaturated90.9%
25
2025-04-24independentSource ↗
QuALITYNearing Saturation81.7%
78
2025-04-24independentSource ↗
LongBenchNearing Saturation79.8%
65
2025-04-23independentSource ↗
SWE-benchDeprecated59.5%
10
2025-04-23independentSource ↗
MGSMNearing Saturation86.5%
65
2025-04-23independentSource ↗
AGIEvalSaturated79.6%
25
2025-04-22independentSource ↗
QASPERNearing Saturation77%
65
2025-04-22independentSource ↗
TruthfulQASaturated81.7%
25
2025-04-22independentSource ↗
GSM-HardDeprecated87.4%
10
2025-04-21independentSource ↗
SuperGLUESaturated94.4%
25
2025-04-21independentSource ↗
CodeXGLUEDeprecated82.3%
23
2025-04-20independentSource ↗
MT-BenchNearing Saturation8.8%
75
2025-04-20independentSource ↗
BIG-Bench HardSaturated90.6%
25
2025-04-20independentSource ↗
WinoGrandeSaturated96.2%
28
2025-04-19independentSource ↗
MBPP+Nearing Saturation89.3%
65
2025-04-19independentSource ↗
IFEvalDeprecated83.7%
25
2025-04-19independentSource ↗
GPQANearing Saturation81.7%
78
2025-04-19independentSource ↗
Needle-in-a-HaystackSaturated98.6%
44
2025-04-18independentSource ↗
HumanEval+Saturated94.5%
25
2025-04-18independentSource ↗
CommonsenseQASaturated97.1%
28
2025-04-18independentSource ↗
MBPPSaturated92.8%
25
2025-04-17independentSource ↗
GSM8KSaturated98.3%
25
2025-04-17independentSource ↗
GLUESaturated99.9%
28
2025-04-17independentSource ↗
MMLUSaturated94.7%
25
2025-04-16independentSource ↗
HumanEvalSaturated99.7%
25
2025-04-16independentSource ↗
ARC-AGISaturated86.9%
25
2025-04-16independentSource ↗
LiveBench (Continuous)Active80.8%
94
2025-02-01independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="muse-wonder",
    messages=[{"role": "user", "content": "Evaluate multi-step logic problem"}],
    temperature=0.2
)
print(response.choices[0].message.content)

Evaluation & Sourcing Notes

Scores listed for Muse Wonder represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.

All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.