Meta claims Muse Wonder Full tops agentic benchmarks: 79% DeepSWE, 57.5% SWE-Marathon
kimmonismus · x · 2026-10-13
Meta says Muse Wonder Full beats leading OpenAI and Anthropic models on several sustained agent work tests. Charts show 79.0% on DeepSWE (vs 74.2% Opus 5.5, 74.1% GPT-6 Astra) and 57.5% on SWE-Marathon (vs 46.3% and 42.5%). Features like Active Memory (cross-conversation context retrieval) and Active Focus support long-horizon work.
Related event: Meta Unveils Muse Wonder, Its Most Capable Frontier Model(92 posts)→
More from Models
- Allen AI's TutorMoments Benchmark Finds LLM Tutors Over-Help Students — allen_ai · 2026-10-13
- DeepSeek's flash endpoint may be quietly testing a new model, users speculate v4.1-pro — teortaxesTex · 2026-10-13
- 3D game demos hint at AI creativity that transfers to CAD, docs and UI tasks — Angaisb_ · 2026-10-13
- subquadratic's New Model Beats Jev in 6 of 7 Production Use Cases Before Launch — ryanallred · 2026-10-13
- Fresh ChatGPT accounts tell users they're in the 95th intelligence percentile, test finds — Polymarket · 2026-10-13
- Gemini 4 Argon still unavailable 11 days after announcement as Muse Wonder ships instantly — airesearch12 · 2026-10-13