kimi-k2.7-code
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Chat comparison
kimi-k2.7-codevsmistral-Nemo-Instruct-2407
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
mistral-Nemo-Instruct-2407
Checking current pricing…
What's different
Only capabilities that differ between these models are listed. Green highlights the broader supported option or larger context window.
Context window
kimi-k2.7-codeBetter fit
256,000 tokens
mistral-Nemo-Instruct-2407
128,000 tokens
Tool calling
kimi-k2.7-codeBetter fit
Supported
mistral-Nemo-Instruct-2407
Not supported
Reasoning
kimi-k2.7-codeBetter fit
Supported
mistral-Nemo-Instruct-2407
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%+
kimi-k2.7-code · leads in 25
53%
Moderate
mistral-Nemo-Instruct-2407 · leads in 4
34%
Weak
Knowledge & reasoning
General knowledge
kimi-k2.7-codeLeads37%mistral-Nemo-Instruct-240724%Logical reasoning
kimi-k2.7-codeLeads59%mistral-Nemo-Instruct-240715%Mathematics
kimi-k2.7-codeLeads68%mistral-Nemo-Instruct-240727%Scientific and technical depth
kimi-k2.7-codeLeads56%mistral-Nemo-Instruct-240723%Planning and task decomposition
kimi-k2.7-codeLeads62%mistral-Nemo-Instruct-240711%
Coding & tools
Code generation
kimi-k2.7-codeLeads87%mistral-Nemo-Instruct-240735%Debugging and code review
kimi-k2.7-codeLeads88%mistral-Nemo-Instruct-240724%Agentic coding
kimi-k2.7-codeLeads81%mistral-Nemo-Instruct-24078%Tool and function calling
kimi-k2.7-codeLeads58%mistral-Nemo-Instruct-24077%SQL and query writing
kimi-k2.7-codeLeads84%mistral-Nemo-Instruct-240735%
Writing & language
Creative writing
kimi-k2.7-codeLeads36%mistral-Nemo-Instruct-240728%Professional writing
kimi-k2.7-codeLeads39%mistral-Nemo-Instruct-240730%Conversational quality
kimi-k2.7-codeLeads41%mistral-Nemo-Instruct-240730%Multilingual ability
kimi-k2.7-code55%mistral-Nemo-Instruct-2407Leads65%Translation
kimi-k2.7-codeLeads48%mistral-Nemo-Instruct-240732%Summarization
kimi-k2.7-codeLeads48%mistral-Nemo-Instruct-240725%
Data & professional work
Data analysis
kimi-k2.7-codeLeads59%mistral-Nemo-Instruct-240721%Professional domains
kimi-k2.7-codeLeads43%mistral-Nemo-Instruct-240718%Information extraction
kimi-k2.7-codeLeads52%mistral-Nemo-Instruct-240735%Classification and labeling
kimi-k2.7-codeLeads44%mistral-Nemo-Instruct-240737%Long-context handling
kimi-k2.7-codeLeads52%mistral-Nemo-Instruct-240729%
Reliability & control
Instruction following
kimi-k2.7-codeLeads50%mistral-Nemo-Instruct-240745%Structured output
kimi-k2.7-codeLeads59%mistral-Nemo-Instruct-240751%Factual accuracy
kimi-k2.7-codeLeads44%mistral-Nemo-Instruct-240737%Safety and alignment
kimi-k2.7-codeLeads39%mistral-Nemo-Instruct-240733%Steerability
kimi-k2.7-codeLeads45%mistral-Nemo-Instruct-240739%Output consistency
kimi-k2.7-code53%mistral-Nemo-Instruct-2407Leads71%
Speed, cost & vision
Response speed
kimi-k2.7-code30%mistral-Nemo-Instruct-2407Leads76%Cost efficiency
kimi-k2.7-code34%mistral-Nemo-Instruct-2407Leads84%Image understanding
kimi-k2.7-codeNo image inputmistral-Nemo-Instruct-2407No 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%
mistral-Nemo-Instruct-2407
99.4%
Average response time
kimi-k2.7-code
6,571.81 ms
mistral-Nemo-Instruct-2407
5,547.3 ms
P95 API latency
kimi-k2.7-code
30,000 ms
mistral-Nemo-Instruct-2407
30,000 ms
Side-by-side trends
Shared charts make the observed differences easier to read. Metrics without enough history stay hidden.
Request success rate
Both models on the same scale
kimi-k2.7-code: 100%mistral-Nemo-Instruct-2407: 97.1%
Average API latency
Both models on the same scale
kimi-k2.7-code: 1,138 msmistral-Nemo-Instruct-2407: 2,920 ms
P95 API latency
Both models on the same scale
kimi-k2.7-code: 2,000 msmistral-Nemo-Instruct-2407: 30,000 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
- kimi-k2.7-code has a larger context window.
- The recent stability rates are too close to distinguish meaningfully.