Muse Spark 1.2
meta/muse-spark-1.2- Meta
- Family · Muse Spark 1
- Released 5 Aug 2026
- Text · Image · Video · File → Text
- Reasoning · adjustable
- Tools · JSON · Vision
Not on OSMEXO yet
Spec & list price
Context1M
Max output944K
Input / 1M$1.25
Output / 1M$4.253.4× input
Scores · standing
Intelligence39.6#36/490
Coding72.2#19/196
Usage
Tokens / day808.2M▼ 18% 7d
Usage rank#203
Requests / day13.2K
Tool calls / req0.10
Per request · 30 days
Avg input17.8K1.2× median
Avg output1.8K2.7× median
Cache hit63%about median
Reasoning share70%1.2× median
Tool-call failures5.4%2.9× median
Consumption
Peak 4.2B 13 OctLow 347.5M 1 NovRank today #203
News & trends
10 mentions this week ▲ 233%Muse Spark 1 family · videos, posts, articles · 30 days
Trending · 14 days · Muse Spark 1 family
- Cliffside Library: DeepSeek V4.1 Flash vs Muse Spark 1.3 | Voxel Battle 02111 views
- Obsidian Forge: Muse Spark 1.3 vs Gemini 3.1 Pro | Shader Battle 11188 views
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#12/334241 tok/s3.7× faster than median
First token#2852.8 s2.7× longer than median
#9 cheapest of 18 with a similar score
Value
Intelligence Index
Blended price per 1M tokens (log)
Family progress
Intelligence Index
- Family releases48.1
Technical details
- Reasoning
- on · medium
- Tokenizer
- Other
- Moderation
- moderated
Reasoning effort
- 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
- 9.8× the output room of similar models (943.7K against a 96.8K median).
- Weekdays average 1.5B tokens a day against 680.7M on weekends.
- 2nd of 3 Muse Spark 1 models by tokens last month.
When to use
Best for
- Coding agents that edit large codebases
- Hard science and reasoning questions
- Data analysis over long files
- Video and image understanding
- Interactive tool calling agents
Think twice for
- Long autonomous agent runs
- Self-hosting (closed weights)
- Low-cost bulk classification
- Image generation
Same family
Muse Spark 1- 48.1
- 33.7
Alternatives
other vendors · similar capability- S43.7
- 40.9
- 36.0
- 38.2
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