Muse Wonder
Muse Wonder is a Meta proprietary reasoning model, released 12 Oct 2026. Its best configuration (max reasoning effort) ranks #31 of 761 on the BenchLeader Index at 66.3 ±8.5, in the upper half. The ± is the point: 161 other configurations score within that range, so they and this one cannot be told apart on quality alone — price and speed are what separate them. It scores highest in reasoning (88) and lowest in long context (66). At $8.00 per million tokens blended it is among the most expensive ranked models. Output speed of 85 tokens per second puts it faster than most, with a first answer in 60.8 s. Last measured 12 Oct 2026.
- Blended price
- $8.00/M
- $4.00 in · $20.00 out
- Output speed
- 85 tok/s
- measured by Artificial Analysis
- First answer
- 61 s
- first token 4.62 s
- Context
- 1.0M
- Full answer
- 67 s
- median, reasoning included
- Cost per run
- $4.52
- one full Intelligence Index run
- Released
- 12 Oct 2026
- Overall index66
- Reasoning88
- Knowledge73
- Long context66
- Composite78
Benchmark results
See all LLM benchmarks. One column per reasoning effort. Rank is among every configuration of every model on that benchmark. Hover a score for the run it came from.
Reasoning
| Benchmark | max | Source |
|---|---|---|
| LiveBench Reasoningnot in index | 90.6%#11 | LiveBench |
| Humanity's Last Exam (AA)not in index | 50.1%#24 | Artificial Analysis |
| CritPt | 28.3%#26 | Artificial Analysis |
Coding
| Benchmark | max | Source |
|---|---|---|
| LiveBench Codingnot in index | 80.7%#18 | LiveBench |
| SciCode (AA)not in index | 60.3%#11 | Artificial Analysis |
| Terminal-Bench 4.0 (AA)not in index | 52.0%#15 | Artificial Analysis |
Agents & tools
| Benchmark | max | Source |
|---|---|---|
| LiveBench Agentic Codingnot in index | 62.7%#9 | LiveBench |
| GDPval-AA v2.1not in index | 63.5%#5 | Artificial Analysis |
| AutomationBenchnot in index | 68.1%#7 | Artificial Analysis |
| GDP.pdfnot in index | 30.6%#8 | Artificial Analysis |
| AA-Briefcase v1.1not in index | 1659#9 | Artificial Analysis |
Maths
| Benchmark | max | Source |
|---|---|---|
| LiveBench Mathematicsnot in index | 96.5%#8 | LiveBench |
Knowledge
| Benchmark | max | Source |
|---|---|---|
| LiveBench Data Analysisnot in index | 81.6%#4 | LiveBench |
| AA-Omniscience | 25.5#50 | Artificial Analysis |
| AA-Omniscience: accuracynot in index | 41.1%#111 | Artificial Analysis |
| AA-Omniscience: non-hallucinationnot in index | 73.5%#31 | Artificial Analysis |
Instruction following
| Benchmark | max | Source |
|---|---|---|
| LiveBench Languagenot in index | 82.9%#21 | LiveBench |
| LiveBench Instruction Followingnot in index | 73.0%#17 | LiveBench |
Long context
| Benchmark | max | Source |
|---|---|---|
| AA-LCR | 80.7%#62 | Artificial Analysis |
Composite
| Benchmark | max | Source |
|---|---|---|
| LiveBench | 81.2%#8 | LiveBench |
| AA Intelligence Index v4.3.2 | 52.4#10 | Artificial Analysis |
Where to run it
Every provider serving this model through OpenRouter, with throughput and first-token latency measured on live traffic over the last 30 minutes and each provider’s own price. Purple marks the best in each column.
| Provider | Speed | First token | Input $/M | Output $/M | Context | Quantisation |
|---|---|---|---|---|---|---|
| Meta | 60 tok/s | 4.62 s | $4.00 | $20.00 | 1.0M | – |
What a task costs
Estimates from list price, output speed and time to first answer for the best configuration. “With caching” assumes three-quarters of the input is served from the prompt cache. Reasoning tokens are not modelled.
| Workload | Tokens in / out | Cost | With caching | Time |
|---|---|---|---|---|
| Chat reply | 400 / 300 | $0.0076 | – | 1.1 min |
| Summarise a 30-page report | 12,000 / 600 | $0.060 | – | 1.1 min |
| Code edit | 6,000 / 1,500 | $0.054 | – | 1.3 min |
| Agentic coding session | 60,000 / 4,000 | $0.320 | – | 1.8 min |
| Structured extraction | 2,000 / 200 | $0.012 | – | 1.1 min |
Compare Muse Wonder with…
- Muse Wonder vs Claude Opus 5.5
- Muse Wonder vs Claude Fable 5.1
- Muse Wonder vs GPT-6 Astra
- Muse Wonder vs Gemini 4 Argon
- Muse Wonder vs GPT-6.1 Sol
- Muse Wonder vs Claude Fable 5
- Muse Wonder vs Claude Opus 5
- Muse Wonder vs Muse Spark 1.3
- Muse Wonder vs Claude Sonnet 5.5
- Muse Wonder vs GPT-5.6 Sol
- Muse Wonder vs GPT-5.5
- Muse Wonder vs GPT-6 Sol
- Muse Wonder vs MiMo-V2.6-Pro
- Muse Wonder vs GPT-5.5 Pro
- Muse Wonder vs Kimi K3
- Muse Wonder vs Muse Spark
- Muse Wonder vs Gemini 3.8 Flash
- Muse Wonder vs GPT-5.4
- Muse Wonder vs Qwen3.8 Max
- Muse Wonder vs Grok 4.6
- Muse Wonder vs Grok 4.7
- Muse Wonder vs GPT-5.3-Codex
- Muse Wonder vs GLM 5.3
- Muse Wonder vs Claude Opus 4.7
- Muse Wonder vs GPT-5.6 Terra
- Muse Wonder vs GPT-5.4 Pro
- Muse Wonder vs Step 5 Preview
- Muse Wonder vs Gemini 3.7 Flash
- Muse Wonder vs Qwen3.8 2.4T A95B
- Muse Wonder vs Claude Opus 4.6
- Muse Wonder vs Gemini 3.5 Flash
- Muse Wonder vs Muse Spark 1.1
- Muse Wonder vs DeepSeek V4 Pro
- Muse Wonder vs Muse Spark 1.2
- Muse Wonder vs GLM 5.2
- Muse Wonder vs Gemini 3.1 Pro
- Muse Wonder vs Qwen3.6 Max
- Muse Wonder vs Claude Opus 4.8
- Muse Wonder vs DeepSeek V4.1 Flash
See also
Data as of 13 Oct 2026. Compare with another model.
Cite as: BenchLeader, “Muse Wonder: benchmarks, pricing, speed and rank”, https://www.benchleader.com/models/muse-wonder, data as of 13 Oct 2026.