A much cheaper opt-in version of Muse Spark 1.2 with the same multimodal coding and agentic capabilities. Prompts and outputs sent to this Contributor model may be used by Meta for training and to improve its products; use the standard Muse Spark 1.2 model if you do not want your data used for training.
Added Aug 5, 2026
Context Window
1.0M
Max Output
65.5K
Avg output tokens (7d)
1.4K tokens
Input Price (Auto)
$0.10/1M
Output Price (Auto)
$0.20/1M
Cache Read (Auto)
$0.0020/1M
Capabilities
Benchmarks
Benchmarks
Performance metrics and benchmarks
Sourced from Artificial Analysis.
Intelligence Index
39.6
Coding Index
72.2
Agentic work
AutomationBench-AA
Workflow automation with guardrail penalties
40.6%
Better than 58% of models compared
AA-Briefcase
Agentic knowledge work (Elo)
1333 Elo
Better than 72% of models compared
GDPval-AA v2
Economically valuable tasks (Elo)
1482 Elo
Better than 83% of models compared
Document reasoning
GDP.pdf
Professional PDF reasoning: all-pass rate
17.4%
Better than 63% of models compared
AA-LCR v1.1
Long context reasoning with updated grading
79.0%
Better than 82% of models compared
MLCR-AA
Medical long-context reasoning
31.1%
Better than 80% of models compared
Reasoning
HLE
Humanity's Last Exam
45.5%
Better than 93% of models compared
Coding
Terminal-Bench v4.0
Practical coding and terminal tasks
7.1%
Better than 59% of models compared
SciCode
Python programming for scientific computing
57.4%
Better than 89% of models compared
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
90.4%
Better than 90% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
79.0%
Better than 82% of models compared
Last updated Oct 2, 2026
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