# Meta Muse Wonder

Meta Muse Wonder costs $4.00 per million input tokens and $20.00 per million output tokens, and it scores 64.5 on the Vibe Coding Index from 1 benchmark, as of October 21, 2026.

Page: https://llmbenchmark.ai/models/meta-muse-wonder
Data from October 21, 2026. Every figure below names the board it was read from and the day.

- Maker: Meta
- Released: October 12, 2026
- Price per million input tokens: $4.00
- Price per million output tokens: $20.00
- Context window: 1.05M tokens
- Vibe Coding Index: 64.5 (from 1 of 4 coding benchmarks)

Benchmark results (60 of 190):

- LMArena WebDev: 1652 Elo (source: LMArena WebDev, read October 21, 2026)
- Vals Index: 64.9% (source: Vals Index, read October 21, 2026)
- Design Arena: websites: 1361 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: UI components: 1371 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: game dev: 1380 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: data viz: 1330 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: 3D: 1425 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: all code categories: 1370 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: spreadsheets: 1236 Elo (source: Design Arena, read October 21, 2026)
- Terminal-Bench 4 (Vals AI): 49.5% (source: Vals AI boards, read October 21, 2026)
- Vibe Code Bench (Vals AI): 83.1% (source: Vals AI boards, read October 21, 2026)
- Code migration (Vals AI): 62.5% (source: Vals AI boards, read October 21, 2026)
- IOI (Vals AI): 66.9% (source: Vals AI boards, read October 21, 2026)
- SWE-bench Multimodal (Vals AI): 45.6% (source: Vals AI boards, read October 21, 2026)
- Vibe Code Bench 1-100 (Vals AI): 26.6% (source: Vals AI boards, read October 21, 2026)
- CyberBench (Vals AI): 80.4% (source: Vals AI boards, read October 21, 2026)
- Finance Agent (Vals AI): 56.6% (source: Vals AI boards, read October 21, 2026)
- Tax Agent Bench (Vals AI): 36.3% (source: Vals AI boards, read October 21, 2026)
- Legal Research Bench (Vals AI): 50.5% (source: Vals AI boards, read October 21, 2026)
- Harvey's Legal Agent Benchmark (Vals AI): 23.8% (source: Vals AI boards, read October 21, 2026)
- Excel Modeling Benchmark (Vals AI): 67.1% (source: Vals AI boards, read October 21, 2026)
- BioMysteryBench (Vals AI): 67.0% (source: Vals AI boards, read October 21, 2026)
- Terminal-Bench-Science (Vals AI): 22.9% (source: Vals AI boards, read October 21, 2026)
- Vals Science Index: 39.1% (source: Vals AI boards, read October 21, 2026)
- CUA-bench (Vals AI): 7.2% (source: Vals AI boards, read October 21, 2026)
- Public Benefits Bench (Vals AI): 70.2% (source: Vals AI boards, read October 21, 2026)
- MysteryMechanism (Vals AI): 27.5% (source: Vals AI boards, read October 21, 2026)
- Humanity's Last Exam (Artificial Analysis run): 50.1% (source: Artificial Analysis, read October 21, 2026)
- SciCode: 60.3% (source: Artificial Analysis, read October 21, 2026)
- Long context reasoning (AA-LCR): 80.7% (source: Artificial Analysis, read October 21, 2026)
- ProofBench: 84.0% (source: Epoch AI benchmarking hub, read October 21, 2026)
- DTBench: 95.2% (source: Epoch AI benchmarking hub, read October 21, 2026)
- LMCA: 56.8% (source: Epoch AI benchmarking hub, read October 21, 2026)
- Vending-Bench 2: $9,432 (source: Epoch AI benchmarking hub, read October 21, 2026)
- Epoch Capabilities Index: 161.8 (source: Epoch AI benchmarking hub, read October 21, 2026)
- LMArena Text: 1502 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: coding: 1522 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: hard prompts: 1506 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: math: 1486 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: instruction following: 1491 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: creative writing: 1491 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: English: 1507 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: non-English: 1492 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: Chinese: 1537 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: French: 1523 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: Russian: 1522 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: multi-turn: 1510 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: longer queries: 1493 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: expert: 1513 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: hard prompts in English: 1506 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: software and IT: 1515 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: mathematical work: 1514 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: science: 1506 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: medicine and healthcare: 1512 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: legal and government: 1505 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: business and finance: 1483 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: writing and language: 1496 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: entertainment and media: 1482 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena WebDev: React: 1641 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena WebDev: HTML: 1694 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)