gemma4:31b
Chat comparison
gemma4:31bvsmuse-spark-1.3
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
muse-spark-1.3
What's different
Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.
Reasoning
gemma4:31b
Not supported
muse-spark-1.3Better fit
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.
gemma4:31b · leads in 22
34%
Weak
muse-spark-1.3 · leads in 7
29%
Weak
Knowledge & reasoning
General knowledge
gemma4:31bLeads33%muse-spark-1.316%Logical reasoning
gemma4:31b19%muse-spark-1.3Leads35%Mathematics
gemma4:31bLeads31%muse-spark-1.329%Scientific and technical depth
gemma4:31bLeads34%muse-spark-1.323%Planning and task decomposition
gemma4:31b17%muse-spark-1.3Leads39%
Coding & tools
Code generation
gemma4:31bLeads33%muse-spark-1.324%Debugging and code review
gemma4:31b29%muse-spark-1.3Leads33%Agentic coding
gemma4:31b26%muse-spark-1.3Leads42%Tool and function calling
gemma4:31b29%muse-spark-1.3Leads37%SQL and query writing
gemma4:31bLeads34%muse-spark-1.331%
Writing & language
Creative writing
gemma4:31bLeads33%muse-spark-1.332%Professional writing
gemma4:31bLeads31%muse-spark-1.326%Conversational quality
gemma4:31bLeads23%muse-spark-1.321%Multilingual ability
gemma4:31bLeads44%muse-spark-1.326%Translation
gemma4:31bLeads32%muse-spark-1.322%Summarization
gemma4:31bLeads31%muse-spark-1.313%
Data & professional work
Data analysis
gemma4:31bLeads29%muse-spark-1.328%Professional domains
gemma4:31bLeads26%muse-spark-1.324%Information extraction
gemma4:31bLeads35%muse-spark-1.330%Classification and labeling
gemma4:31bLeads38%muse-spark-1.329%Long-context handling
gemma4:31bLeads39%muse-spark-1.36%
Reliability & control
Instruction following
gemma4:31b29%muse-spark-1.3Leads30%Structured output
gemma4:31bLeads46%muse-spark-1.340%Factual accuracy
gemma4:31bLeads34%muse-spark-1.320%Safety and alignment
gemma4:31bLeads31%muse-spark-1.325%Steerability
gemma4:31b28%muse-spark-1.3Leads30%Output consistency
gemma4:31bLeads57%muse-spark-1.337%
Speed, cost & vision
Response speed
gemma4:31bLeads48%muse-spark-1.344%Cost efficiency
gemma4:31bLeads59%muse-spark-1.355%Image understanding
gemma4:31bNo image inputmuse-spark-1.3No image input
Latest LLM7 statistics
Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.
Recent stability
gemma4:31b
99.73%
muse-spark-1.3
0%
Average response time
gemma4:31b
6,204.99 ms
muse-spark-1.3
117,086.75 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
Estimate your workload
Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.