muse-spark-1.3
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muse-spark-1.3vsnemotron-3-nano:30b
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
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nemotron-3-nano:30b
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What's different
Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.
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muse-spark-1.3Better fit
Supported
nemotron-3-nano:30b
Not supported
Capability scores
AI-estimated ratings on 30 criteria from head-to-head comparisons against 86 other text models in the LLM7 catalog, judged by TypeSafe Jev from public information (2026-10-20). Each score is the win rate against the field, relative to the strongest model for that criterion (100%). Not a benchmark.
Below 50%50–79%80–94%95%+
muse-spark-1.3 · leads in 5
29%
Weak
nemotron-3-nano:30b · leads in 23
39%
Weak
Knowledge & reasoning
General knowledge
muse-spark-1.316%nemotron-3-nano:30bLeads28%Logical reasoning
muse-spark-1.335%nemotron-3-nano:30bLeads44%Mathematics
muse-spark-1.329%nemotron-3-nano:30bLeads47%Scientific and technical depth
muse-spark-1.323%nemotron-3-nano:30bLeads41%Planning and task decomposition
muse-spark-1.339%nemotron-3-nano:30bLeads43%
Coding & tools
Code generation
muse-spark-1.324%nemotron-3-nano:30bLeads35%Debugging and code review
muse-spark-1.333%nemotron-3-nano:30bLeads43%Agentic coding
muse-spark-1.342%nemotron-3-nano:30bLeads48%Tool and function calling
muse-spark-1.337%nemotron-3-nano:30b37%SQL and query writing
muse-spark-1.331%nemotron-3-nano:30bLeads39%
Writing & language
Creative writing
muse-spark-1.3Leads32%nemotron-3-nano:30b28%Professional writing
muse-spark-1.3Leads26%nemotron-3-nano:30b24%Conversational quality
muse-spark-1.321%nemotron-3-nano:30bLeads29%Multilingual ability
muse-spark-1.326%nemotron-3-nano:30bLeads43%Translation
muse-spark-1.322%nemotron-3-nano:30bLeads35%Summarization
muse-spark-1.313%nemotron-3-nano:30bLeads47%
Data & professional work
Data analysis
muse-spark-1.328%nemotron-3-nano:30bLeads40%Professional domains
muse-spark-1.324%nemotron-3-nano:30bLeads29%Information extraction
muse-spark-1.3Leads30%nemotron-3-nano:30b25%Classification and labeling
muse-spark-1.329%nemotron-3-nano:30bLeads43%Long-context handling
muse-spark-1.36%nemotron-3-nano:30bLeads70%
Reliability & control
Instruction following
muse-spark-1.3Leads30%nemotron-3-nano:30b21%Structured output
muse-spark-1.3Leads40%nemotron-3-nano:30b8%Factual accuracy
muse-spark-1.320%nemotron-3-nano:30bLeads34%Safety and alignment
muse-spark-1.325%nemotron-3-nano:30bLeads29%Steerability
muse-spark-1.330%nemotron-3-nano:30bLeads31%Output consistency
muse-spark-1.337%nemotron-3-nano:30bLeads40%
Speed, cost & vision
Response speed
muse-spark-1.344%nemotron-3-nano:30bLeads71%Cost efficiency
muse-spark-1.355%nemotron-3-nano:30bLeads80%Image understanding
muse-spark-1.3No image inputnemotron-3-nano:30bNo image input
Latest LLM7 statistics
Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.
Recent stability
muse-spark-1.3
0%
nemotron-3-nano:30b
98.3%
Average response time
muse-spark-1.3
117,086.75 ms
nemotron-3-nano:30b
3,194.26 ms
Side-by-side trends
Shared charts make the observed differences easier to read. Metrics without enough history stay hidden.
Average API latency
Both models on the same scale
muse-spark-1.3: 263,946 msnemotron-3-nano:30b: 4,647 ms
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Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.
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