kimi-k2.7-code
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Chat comparison
kimi-k2.7-codevsmuse-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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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%+
kimi-k2.7-code · leads in 27
53%
Moderate
muse-spark-1.3 · leads in 2
29%
Weak
Knowledge & reasoning
General knowledge
kimi-k2.7-codeLeads37%muse-spark-1.316%Logical reasoning
kimi-k2.7-codeLeads59%muse-spark-1.335%Mathematics
kimi-k2.7-codeLeads68%muse-spark-1.329%Scientific and technical depth
kimi-k2.7-codeLeads56%muse-spark-1.323%Planning and task decomposition
kimi-k2.7-codeLeads62%muse-spark-1.339%
Coding & tools
Code generation
kimi-k2.7-codeLeads87%muse-spark-1.324%Debugging and code review
kimi-k2.7-codeLeads88%muse-spark-1.333%Agentic coding
kimi-k2.7-codeLeads81%muse-spark-1.342%Tool and function calling
kimi-k2.7-codeLeads58%muse-spark-1.337%SQL and query writing
kimi-k2.7-codeLeads84%muse-spark-1.331%
Writing & language
Creative writing
kimi-k2.7-codeLeads36%muse-spark-1.332%Professional writing
kimi-k2.7-codeLeads39%muse-spark-1.326%Conversational quality
kimi-k2.7-codeLeads41%muse-spark-1.321%Multilingual ability
kimi-k2.7-codeLeads55%muse-spark-1.326%Translation
kimi-k2.7-codeLeads48%muse-spark-1.322%Summarization
kimi-k2.7-codeLeads48%muse-spark-1.313%
Data & professional work
Data analysis
kimi-k2.7-codeLeads59%muse-spark-1.328%Professional domains
kimi-k2.7-codeLeads43%muse-spark-1.324%Information extraction
kimi-k2.7-codeLeads52%muse-spark-1.330%Classification and labeling
kimi-k2.7-codeLeads44%muse-spark-1.329%Long-context handling
kimi-k2.7-codeLeads52%muse-spark-1.36%
Reliability & control
Instruction following
kimi-k2.7-codeLeads50%muse-spark-1.330%Structured output
kimi-k2.7-codeLeads59%muse-spark-1.340%Factual accuracy
kimi-k2.7-codeLeads44%muse-spark-1.320%Safety and alignment
kimi-k2.7-codeLeads39%muse-spark-1.325%Steerability
kimi-k2.7-codeLeads45%muse-spark-1.330%Output consistency
kimi-k2.7-codeLeads53%muse-spark-1.337%
Speed, cost & vision
Response speed
kimi-k2.7-code30%muse-spark-1.3Leads44%Cost efficiency
kimi-k2.7-code34%muse-spark-1.3Leads55%Image understanding
kimi-k2.7-codeNo 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
kimi-k2.7-code
99.83%
muse-spark-1.3
0%
Average response time
kimi-k2.7-code
6,571.81 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
kimi-k2.7-code: 1,138 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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