Meta AIopen-weight
Released: 2026-10-12Muse Wonder
Muse Wonder is a frontier reasoning model from Meta, designed for complex personal and professional agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with...
Intelligence Index
91.5/ 100
Calibrated multi-domain compositeThroughput Speed
55tok/sec
Output streaming throughputTime To First Token
420ms
Initial chunk server latencyLiveBench Contam-Free
80.5%
September 2026 suite scoreLiveBench Multi-Domain Evaluation Breakdown
Monthly refreshed contamination-free test setsLogical Reasoning84.2%
Coding & Repo Repair82.4%
Mathematics (AIME)81.4%
Data Analysis & Tables77.8%
Language & Comprehension79.6%
Instruction Following80.5%
Sourced Benchmark Evaluations (60)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| RULER | Nearing Saturation | 84.2% | 84 | 2026-09-12 | independent | Source ↗ |
| Mercury | Deprecated | 76.5% | 10 | 2026-09-12 | independent | Source ↗ |
| MGSM | Nearing Saturation | 80.8% | 65 | 2026-09-12 | independent | Source ↗ |
| MMLU | Saturated | 93.3% | 25 | 2026-09-12 | independent | Source ↗ |
| MMLU-Pro | Nearing Saturation | 84.2% | 75 | 2026-09-12 | independent | Source ↗ |
| MMLU-Redux | Saturated | 89.7% | 25 | 2026-09-12 | independent | Source ↗ |
| MT-Bench | Nearing Saturation | 8.3% | 75 | 2026-09-12 | independent | Source ↗ |
| MultiPL-E | Deprecated | 79.9% | 10 | 2026-09-12 | independent | Source ↗ |
| Needle-in-a-Haystack | Saturated | 98.3% | 44 | 2026-09-12 | independent | Source ↗ |
| OlympiadBench | Active | 69.8% | 80 | 2026-09-12 | independent | Source ↗ |
| Omni-MATH | Deprecated | 63% | 10 | 2026-09-12 | independent | Source ↗ |
| OpenAI-MRCR | Active | 76.9% | 80 | 2026-09-12 | independent | Source ↗ |
| PutnamBench | Active | 44.3% | 90 | 2026-09-12 | independent | Source ↗ |
| QASPER | Nearing Saturation | 75.9% | 65 | 2026-09-12 | independent | Source ↗ |
| QuALITY | Nearing Saturation | 80.5% | 78 | 2026-09-12 | independent | Source ↗ |
| MBPP+ | Nearing Saturation | 88.6% | 65 | 2026-09-12 | independent | Source ↗ |
| SCROLLS | Nearing Saturation | 73.2% | 65 | 2026-09-12 | independent | Source ↗ |
| SimpleQA | Active | 47.6% | 90 | 2026-09-12 | independent | Source ↗ |
| Soohak | Active | 64.7% | 98 | 2026-09-12 | independent | Source ↗ |
| StructFlowBench | Nearing Saturation | 68.4% | 75 | 2026-09-12 | independent | Source ↗ |
| SuperGLUE | Saturated | 90.6% | 25 | 2026-09-12 | independent | Source ↗ |
| SWE-bench | Deprecated | 59.1% | 10 | 2026-09-12 | independent | Source ↗ |
| SWE-bench Pro | Active | 53.9% | 90 | 2026-09-12 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 67.8% | 25 | 2026-09-12 | independent | Source ↗ |
| SWE-Lancer | Deprecated | 59.1% | 20 | 2026-09-12 | independent | Source ↗ |
| TabMWP | Saturated | 78.3% | 25 | 2026-09-12 | independent | Source ↗ |
| Terminal-Bench | Active | 60.8% | 80 | 2026-09-12 | independent | Source ↗ |
| TruthfulQA | Saturated | 80.5% | 25 | 2026-09-12 | independent | Source ↗ |
| WinoGrande | Saturated | 92.4% | 28 | 2026-09-12 | independent | Source ↗ |
| ZeroSCROLLS | Nearing Saturation | 73.2% | 78 | 2026-09-12 | independent | Source ↗ |
| GLUE | Saturated | 95.9% | 28 | 2026-09-12 | independent | Source ↗ |
| AGIEval | Saturated | 76.4% | 25 | 2026-09-12 | independent | Source ↗ |
| AIME | Nearing Saturation | 80.8% | 75 | 2026-09-12 | independent | Source ↗ |
| ARC-AGI | Saturated | 83.5% | 25 | 2026-09-12 | independent | Source ↗ |
| ARC-AGI-2 | Nearing Saturation | 69.3% | 75 | 2026-09-12 | independent | Source ↗ |
| ARC-AGI-3 | Active | 57.7% | 93 | 2026-09-12 | independent | Source ↗ |
| BIG-Bench Hard | Saturated | 87% | 25 | 2026-09-12 | independent | Source ↗ |
| CodeContests | Deprecated | 56.5% | 10 | 2026-09-12 | independent | Source ↗ |
| CodeXGLUE | Deprecated | 81.7% | 23 | 2026-09-12 | independent | Source ↗ |
| CommonsenseQA | Saturated | 93.2% | 28 | 2026-09-12 | independent | Source ↗ |
| ComplexBench | Nearing Saturation | 66% | 80 | 2026-09-12 | independent | Source ↗ |
| CyberSecEval | Deprecated | 78.2% | 10 | 2026-09-12 | independent | Source ↗ |
| FireBench | Active | 67.6% | 95 | 2026-09-12 | independent | Source ↗ |
| FrontierCode | Active | 50.4% | 98 | 2026-09-12 | independent | Source ↗ |
| FrontierMath | Active | 23.8% | 98 | 2026-09-12 | independent | Source ↗ |
| AgentIF | Nearing Saturation | 54.7% | 80 | 2026-09-12 | independent | Source ↗ |
| GPQA | Nearing Saturation | 80.5% | 78 | 2026-09-12 | independent | Source ↗ |
| GSM-Hard | Deprecated | 81.7% | 10 | 2026-09-12 | independent | Source ↗ |
| GSM8K | Saturated | 91.9% | 25 | 2026-09-12 | independent | Source ↗ |
| HumanEval | Saturated | 99.1% | 25 | 2026-09-12 | independent | Source ↗ |
| HumanEval+ | Saturated | 93.9% | 25 | 2026-09-12 | independent | Source ↗ |
| Humanity's Last Exam | Active | 39.1% | 93 | 2026-09-12 | independent | Source ↗ |
| IFEval | Deprecated | 78.9% | 25 | 2026-09-12 | independent | Source ↗ |
| InfiniteBench | Nearing Saturation | 77.8% | 65 | 2026-09-12 | independent | Source ↗ |
| LiveCodeBench | Saturated | 71.3% | 39 | 2026-09-12 | independent | Source ↗ |
| LongBench | Nearing Saturation | 78.7% | 65 | 2026-09-12 | independent | Source ↗ |
| LongBench-Pro | Active | 75% | 80 | 2026-09-12 | independent | Source ↗ |
| MATH | Saturated | 83.4% | 25 | 2026-09-12 | independent | Source ↗ |
| MathArena | Active | 68.1% | 99 | 2026-09-12 | independent | Source ↗ |
| MBPP | Saturated | 92.1% | 25 | 2026-09-12 | independent | Source ↗ |
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run meta-muse-wonder
# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "meta-muse-wonder",
"messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
}'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.