Meta AIproprietary
Released: 2025-04-15

Muse Wonder Full

Meta flagship high-capacity autonomous agent model powering premium Muse Code tiers and standalone Muse agent app, delivering top-tier performance on DeepSWE and SWE-bench Verified.

Intelligence Index
95.2/ 100
Calibrated multi-domain composite
Throughput Speed
65tok/sec
Output streaming throughput
Time To First Token
440ms
Initial chunk server latency
LiveBench Contam-Free
83.5%
September 2026 suite score

Sourced Benchmark Evaluations (61)

Verified performance across authoritative benchmarks with provenance tracking.
BenchmarkStatusScoreTrustDateSource TypeProvenance
ARC-AGI-3Active61.8%
93
2025-05-20independentSource ↗
ARC-AGI-2Nearing Saturation74.1%
75
2025-05-13independentSource ↗
FrontierMathActive26.5%
98
2025-05-10independentSource ↗
PutnamBenchActive49.1%
90
2025-05-09independentSource ↗
SWE-LancerDeprecated61.9%
20
2025-05-07independentSource ↗
Omni-MATHDeprecated69.9%
10
2025-05-07independentSource ↗
SoohakActive71.8%
98
2025-05-05independentSource ↗
FrontierCodeActive52.8%
98
2025-05-05independentSource ↗
Humanity's Last ExamActive41.8%
93
2025-05-03independentSource ↗
StructFlowBenchNearing Saturation74.4%
75
2025-05-03independentSource ↗
AIMENearing Saturation89.8%
75
2025-05-03independentSource ↗
OlympiadBenchActive77.5%
80
2025-05-02independentSource ↗
MathArenaActive75.6%
99
2025-05-01independentSource ↗
FireBenchActive73.6%
95
2025-05-01independentSource ↗
Terminal-BenchActive63.7%
80
2025-05-01independentSource ↗
OpenAI-MRCRActive80%
80
2025-04-30independentSource ↗
SimpleQAActive49.5%
90
2025-04-30independentSource ↗
CodeContestsDeprecated59.2%
10
2025-04-30independentSource ↗
ComplexBenchNearing Saturation71.8%
80
2025-04-29independentSource ↗
SWE-bench ProActive56.4%
90
2025-04-29independentSource ↗
LongBench-ProActive78.1%
80
2025-04-29independentSource ↗
ZeroSCROLLSNearing Saturation76.2%
78
2025-04-28independentSource ↗
MultiPL-EDeprecated83.7%
10
2025-04-28independentSource ↗
LiveCodeBenchSaturated74.6%
39
2025-04-27independentSource ↗
AgentIFNearing Saturation59.6%
80
2025-04-27independentSource ↗
MATHSaturated92.6%
25
2025-04-27independentSource ↗
InfiniteBenchNearing Saturation80.9%
65
2025-04-27independentSource ↗
MercuryDeprecated80.1%
10
2025-04-26independentSource ↗
SCROLLSNearing Saturation76.2%
65
2025-04-26independentSource ↗
MMLU-ProNearing Saturation87.6%
75
2025-04-26independentSource ↗
RULERNearing Saturation87.6%
84
2025-04-25independentSource ↗
TabMWPSaturated86.9%
25
2025-04-25independentSource ↗
CyberSecEvalDeprecated81.9%
10
2025-04-25independentSource ↗
SWE-bench VerifiedSaturated71%
25
2025-04-24independentSource ↗
MMLU-ReduxSaturated93.3%
25
2025-04-24independentSource ↗
QuALITYNearing Saturation83.8%
78
2025-04-24independentSource ↗
LongBenchNearing Saturation81.9%
65
2025-04-23independentSource ↗
SWE-benchDeprecated61.9%
10
2025-04-23independentSource ↗
MGSMNearing Saturation89.8%
65
2025-04-23independentSource ↗
AGIEvalSaturated81.7%
25
2025-04-22independentSource ↗
QASPERNearing Saturation79%
65
2025-04-22independentSource ↗
TruthfulQASaturated83.8%
25
2025-04-22independentSource ↗
GSM-HardDeprecated90.7%
10
2025-04-21independentSource ↗
SuperGLUESaturated96.9%
25
2025-04-21independentSource ↗
CodeXGLUEDeprecated85.5%
23
2025-04-20independentSource ↗
MT-BenchNearing Saturation9%
75
2025-04-20independentSource ↗
BIG-Bench HardSaturated93.1%
25
2025-04-20independentSource ↗
WinoGrandeSaturated98.8%
28
2025-04-19independentSource ↗
MBPP+Nearing Saturation92.8%
65
2025-04-19independentSource ↗
IFEvalDeprecated85.8%
25
2025-04-19independentSource ↗
GPQANearing Saturation83.8%
78
2025-04-19independentSource ↗
Needle-in-a-HaystackSaturated99%
44
2025-04-18independentSource ↗
HumanEval+Saturated98.3%
25
2025-04-18independentSource ↗
CommonsenseQASaturated99.8%
28
2025-04-18independentSource ↗
MBPPSaturated96.5%
25
2025-04-17independentSource ↗
GSM8KSaturated100%
25
2025-04-17independentSource ↗
GLUESaturated100%
28
2025-04-17independentSource ↗
MMLUSaturated97.1%
25
2025-04-16independentSource ↗
HumanEvalSaturated100%
25
2025-04-16independentSource ↗
ARC-AGISaturated89.3%
25
2025-04-16independentSource ↗
LiveBench (Continuous)Active83.5%
94
2025-02-01independentSource ↗
OpenAI Compatible API ExecutionAPI Ready
from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="muse-wonder-full",
    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 Full 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.