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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

66.7B133.3B200.0B2 Oct16 Oct31 Oct
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
News · latest from Meta

Benchmarks

bar = share of the top score · Benchmark data: Artificial Analysis
τ-Bench Banking#3 of 154
50.5%
GPQA Diamond#5 of 445
94.1%
Coding index#7 of 196
76.5
Long-context reasoning#19 of 393
83.0%
Terminal-Bench 2.1#11 of 182
85.4%
SciCode#12 of 160
59.7%
Intelligence index#14 of 489
48.1
Humanity's Last Exam#15 of 465
48.7%
Speed · 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
303540455055$1$2$5Muse Spark 1.3
Blended price per 1M tokens (log)
Family progress
Intelligence Index
3035404550AugSepMuse Spark 1.3
  • 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

  1. 3.3× the output room of similar models (943.7K against a 289.0K median).
  2. The most used of 3 Muse Spark 1 models by tokens last month.
  3. Released 60 days ago, the newest of 3 Muse Spark 1 models.
  4. 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

Alternatives

other vendors · similar capability

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