Muse Wonder
meta/muse-wonder- Meta
- Family · Muse Wonder
- Released 12 Oct 2026
- Text · Image · Video · File · Audio → Text
- Reasoning · adjustable
- Tools · JSON · Vision
Not on OSMEXO yet
Spec & list price
Context1M
Max output944K
Input / 1M$4.00
Output / 1M$20.005× input
Scores · standing
Intelligence52.4#10/489
Usage
Tokens / day10.1B▼ 31% 7d
Usage rank#88
Requests / day131.0K
Tool calls / req0.66
Per request · 30 days
Avg input73.4K4.9× median
Avg output8661.3× median
Cache hit80%1.2× median
Reasoning share60%about median
Tool-call failures7.2%3.8× median
Consumption
Peak 60.2B 13 OctLow 7.1B 1 NovRank today #88
News & trends
11 mentions this week ▲ 267%this model · videos, posts, articles · 30 days
Trending · 14 days
- Gemini 4 Argon vs Opus 5.5 vs GPT-6 Astra vs Muse Wonder which AI model wins #ai #astra295 views
- TIL the model you're talking to depends on your plan — free = Muse Spark, paid = Muse Wonder18 upvotes
- Claude Sonnet 5.5 vs GPT-6 Sol vs Muse Wonder: Real Numbers (Price, Accuracy, Cost)173 views
- AI News, Week of October 19: Meta Ships Muse Wonder and Open-Weights Muse Spark, OpenAI Discloses Four More Rogue-Agent Incidents, Character.AI Files Chapter 111 upvotes
News · latest from Meta
- Meta Networking at the 2026 OCP Global Summit: Open Innovation for Scale-Up, Scale-Out, and Scale-Across AI NetworksMeta Engineering · 26 Oct
- Scale Agentic Coding Workflows with Meta’s Muse Spark Open on NVIDIA GB300 NVL72NVIDIA · 15 Oct
- Meta Muse Spark Open is live on Together AITogether AI · 15 Oct
- Welcome Muse Spark Open: open-weight frontier multimodal mixture-of-experts model from Meta15 Oct
Benchmarks
bar = share of the top score · Benchmark data: Artificial AnalysisSpeed · median across providers, latest day
Output speed#83/33497 tok/s1.5× faster than median
First token#2983.11 s3.0× longer than median
First answer token#8339 sthinking included
#5 cheapest of 8 with a similar score
Value
Intelligence Index
Blended price per 1M tokens (log)
Technical details
- Reasoning
- on · medium
- Tokenizer
- Other
- Moderation
- moderated
Reasoning effort
- max
- xhigh
- high
- medium · default
- low
- minimal
Request parameters 12
- tools
- tool_choice
- response_format
- structured_outputs
- reasoning
- reasoning_effort
- include_reasoning
- temperature
- top_p
- top_k
+2 more
- max_tokens
- repetition_penalty
Interesting facts
- Weekdays average 25.7B tokens a day against 10.7B on weekends.
- 1.8× the output room of similar models (943.7K against a 535.9K median).
- Released 21 days ago.
When to use
Best for
- Hardest reasoning and science problems
- Analysis of very long documents and videos
- Agents that need adjustable reasoning effort
- Multimodal work across audio, images and files
Think twice for
- High-volume simple chat (cheaper options exist)
- Self-hosting (closed weights)
- Latency-sensitive interactive features
Alternatives
other vendors · similar capability- 54.5
- 56.0
- 55.1
- 52.6
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