Muse Spark 1.3
meta/muse-spark-1.3- Meta
- Family · Muse Spark 1
- Released 2 Sep 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
Intelligence48.1#14/489
LiveBench63.0#20/32
Coding76.5#7/196
Usage
Tokens / day15.7B▲ 12% 7d
Usage rank#79
Requests / day125.7K
Tool calls / req0.49
Per request · 30 days
Avg input46.1K3.1× median
Avg output1.1K1.7× median
Cache hit80%1.2× median
Reasoning share74%1.3× median
Tool-call failures20%11× median
Consumption
Peak 165.7B 9 OctLow 8.1B 25 OctRank today #79
News & trends
9 mentions this week ▲ 200%this model · videos, posts, articles · 30 days
Trending · 14 days
- 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 11179 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#52/333117 tok/s1.7× faster than median
First token#2953.02 s2.9× longer than median
#3 cheapest of 9 with a similar score
Value
Intelligence Index
Blended price per 1M tokens (log)
Family progress
Intelligence Index
- Family releases48.1
LiveBench suites
Browser30.9
Coding90.2
Data Analysis79.6
Design74.8
Long Agentic25.5
Reasoning89.7
Research68.6
▲ Strongest: Coding, Reasoning. ▼ Weakest: Long Agentic (26).
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
- 3.3× the output room of similar models (943.7K against a 289.0K median).
- The most used of 3 Muse Spark 1 models by tokens last month.
- Released 60 days ago, the newest of 3 Muse Spark 1 models.
- Weekdays average 34.8B tokens a day against 35.4B on weekends.
When to use
Best for
- Coding agents and terminal workflows
- Banking and customer-service tool agents
- Hard science and reasoning questions
- Analysis of very long documents and videos
Think twice for
- Long autonomous agent runs (weakest suite)
- Self-hosting (closed weights)
- High-volume simple chat (cheaper options exist)
Research papers
Same family
Muse Spark 1- 33.7
- 39.6
Alternatives
other vendors · similar capability- S43.7
- 52.6
- 47.6
- 46.4
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