claude-sonnet-4-6
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Chat comparison
claude-sonnet-4-6vsmuse-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
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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.
Input formats
claude-sonnet-4-6
text, image
muse-spark-1.3
text
Vision
claude-sonnet-4-6Better fit
Supported
muse-spark-1.3
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%+
claude-sonnet-4-6 · leads in 28
84%
Strong
muse-spark-1.3 · leads in 1
29%
Weak
Knowledge & reasoning
General knowledge
claude-sonnet-4-6Leads82%muse-spark-1.316%Logical reasoning
claude-sonnet-4-6Leads84%muse-spark-1.335%Mathematics
claude-sonnet-4-6Leads82%muse-spark-1.329%Scientific and technical depth
claude-sonnet-4-6Leads81%muse-spark-1.323%Planning and task decomposition
claude-sonnet-4-6Leads84%muse-spark-1.339%
Coding & tools
Code generation
claude-sonnet-4-6Leads79%muse-spark-1.324%Debugging and code review
claude-sonnet-4-6Leads86%muse-spark-1.333%Agentic coding
claude-sonnet-4-6Leads89%muse-spark-1.342%Tool and function calling
claude-sonnet-4-6Leads86%muse-spark-1.337%SQL and query writing
claude-sonnet-4-6Leads86%muse-spark-1.331%
Writing & language
Creative writing
claude-sonnet-4-6Leads84%muse-spark-1.332%Professional writing
claude-sonnet-4-6Leads89%muse-spark-1.326%Conversational quality
claude-sonnet-4-6Leads88%muse-spark-1.321%Multilingual ability
claude-sonnet-4-6Leads73%muse-spark-1.326%Translation
claude-sonnet-4-6Leads86%muse-spark-1.322%Summarization
claude-sonnet-4-6Leads89%muse-spark-1.313%
Data & professional work
Data analysis
claude-sonnet-4-6Leads87%muse-spark-1.328%Professional domains
claude-sonnet-4-6Leads85%muse-spark-1.324%Information extraction
claude-sonnet-4-6Leads90%muse-spark-1.330%Classification and labeling
claude-sonnet-4-6Leads91%muse-spark-1.329%Long-context handling
claude-sonnet-4-6Leads91%muse-spark-1.36%
Reliability & control
Instruction following
claude-sonnet-4-6Leads88%muse-spark-1.330%Structured output
claude-sonnet-4-6Leads93%muse-spark-1.340%Factual accuracy
claude-sonnet-4-6Leads92%muse-spark-1.320%Safety and alignment
claude-sonnet-4-6Leads87%muse-spark-1.325%Steerability
claude-sonnet-4-6Leads89%muse-spark-1.330%Output consistency
claude-sonnet-4-6Leads97%muse-spark-1.337%
Speed, cost & vision
Response speed
claude-sonnet-4-640%muse-spark-1.3Leads44%Cost efficiency
claude-sonnet-4-6Leads68%muse-spark-1.355%Image understanding
claude-sonnet-4-662%muse-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
claude-sonnet-4-6
97.48%
muse-spark-1.3
0%
Average response time
claude-sonnet-4-6
17,871.29 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
claude-sonnet-4-6: 4,447 msmuse-spark-1.3: 263,946 ms
Estimate your workload
Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.
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Quick take
- claude-sonnet-4-6 supports image input while the other model does not.