Muse Spark 1.3 is trained for agentic workflows and optimized for competitive coding performance. Developers can expect higher first-attempt accuracy and reliable tool calling.
Meet Muse Spark 1.3
Trained for long-horizon, agentic workflows
Muse Spark 1.3 tracks context and prior results, works through messy or conflicting inputs, and asks for input when needed.
Competitive coding performance
Tuned for long-horizon coding workflows, with fewer unnecessary turns and cleaner output. Whether you’re building coding agents or using AI as a development partner, it performs competitively with frontier models across several coding evals.
Native multimodal perception
Muse Spark perceives video, images and documents, and its visual reasoning runs through a real execution environment instead of scripted steps. Feed it a screenshot or a clip and let it build.
Introducing Muse Spark 1.3
Introducing Muse Spark 1.3, with max reasoning for challenging reasoning and agentic tasks and improved real-world usability.
Muse Spark 1.3 benchmarks
Category
Benchmark
Muse Spark 1.2 (xhigh)
Meta
GDPVal-AA v2Knowledge work
JobBenchProfessional tool use
OSWorld 2.0Agentic computer use
DeepSearchQAAgentic browsing
Agentic IF Index (Internal)Instruction following
AutomationBenchE2E business workflows
MRCR 256K–512KLong context
MRCR 512K–1MLong context
DeepSWE v1.1Long-horizon agentic coding
SWEAtlas CodeBase QnACodebase understanding
Terminal-Bench 2.1Agentic terminal coding
1754
64.9
66.9(partial)32.0(binary)
90.3
57.8
49.6
1615
61.6
47.6(partial)17.9(binary)
85.9
46.2
38.2
66.3
55.5
55.0
46.2
82.9
1710
45.4
62.7(partial)27.3(binary)
46.7
91.5
73.8
73.0
53.5
68.3(partial)31.4(binary)
90.4
59.1
-
-
74.0
52.7
86.7
GET STARTED
More ways to build.
Models and pricing
Model
Context window
Input (Mtok)
Cached input (Mtok)
Output (Mtok)
muse-spark-1.3-contributorUsed to improve our products.
1M
$0.10
$0.002
$0.20
muse-spark-1.3Not used to improve our products.
1M
$1.25
$0.15
$4.25