gemini-4-argon
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Chat comparison
gemini-4-argonvskimi-k2.7-code
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
kimi-k2.7-code
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
gemini-4-argonBetter fit
1,000,000 tokens
kimi-k2.7-code
256,000 tokens
JSON mode
gemini-4-argon
Not supported
kimi-k2.7-codeBetter 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.
Below 50%50–79%80–94%95%+
gemini-4-argon · leads in 22
65%
Moderate
kimi-k2.7-code · leads in 7
53%
Moderate
Knowledge & reasoning
General knowledge
gemini-4-argonLeads74%kimi-k2.7-code37%Logical reasoning
gemini-4-argonLeads70%kimi-k2.7-code59%Mathematics
gemini-4-argonLeads74%kimi-k2.7-code68%Scientific and technical depth
gemini-4-argonLeads75%kimi-k2.7-code56%Planning and task decomposition
gemini-4-argonLeads66%kimi-k2.7-code62%
Coding & tools
Code generation
gemini-4-argon54%kimi-k2.7-codeLeads87%Debugging and code review
gemini-4-argon64%kimi-k2.7-codeLeads88%Agentic coding
gemini-4-argon65%kimi-k2.7-codeLeads81%Tool and function calling
gemini-4-argonLeads65%kimi-k2.7-code58%SQL and query writing
gemini-4-argon64%kimi-k2.7-codeLeads84%
Writing & language
Creative writing
gemini-4-argonLeads59%kimi-k2.7-code36%Professional writing
gemini-4-argonLeads60%kimi-k2.7-code39%Conversational quality
gemini-4-argonLeads64%kimi-k2.7-code41%Multilingual ability
gemini-4-argonLeads100%kimi-k2.7-code55%Translation
gemini-4-argonLeads77%kimi-k2.7-code48%Summarization
gemini-4-argonLeads75%kimi-k2.7-code48%
Data & professional work
Data analysis
gemini-4-argonLeads76%kimi-k2.7-code59%Professional domains
gemini-4-argonLeads68%kimi-k2.7-code43%Information extraction
gemini-4-argon51%kimi-k2.7-codeLeads52%Classification and labeling
gemini-4-argonLeads71%kimi-k2.7-code44%Long-context handling
gemini-4-argonLeads89%kimi-k2.7-code52%
Reliability & control
Instruction following
gemini-4-argon44%kimi-k2.7-codeLeads50%Structured output
gemini-4-argon9%kimi-k2.7-codeLeads59%Factual accuracy
gemini-4-argonLeads73%kimi-k2.7-code44%Safety and alignment
gemini-4-argonLeads68%kimi-k2.7-code39%Steerability
gemini-4-argonLeads53%kimi-k2.7-code45%Output consistency
gemini-4-argonLeads63%kimi-k2.7-code53%
Speed, cost & vision
Response speed
gemini-4-argonLeads46%kimi-k2.7-code30%Cost efficiency
gemini-4-argonLeads57%kimi-k2.7-code34%Image understanding
gemini-4-argonNo image inputkimi-k2.7-codeNo image input
Latest LLM7 statistics
Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.
Recent stability
gemini-4-argon
70.97%
kimi-k2.7-code
99.83%
Average response time
gemini-4-argon
48,603.09 ms
kimi-k2.7-code
6,571.81 ms
P95 API latency
gemini-4-argon
60,000 ms
kimi-k2.7-code
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
gemini-4-argon: 42.7%kimi-k2.7-code: 100%
Average API latency
Both models on the same scale
gemini-4-argon: 49,932 mskimi-k2.7-code: 1,138 ms
P95 API latency
Both models on the same scale
gemini-4-argon: 60,000 mskimi-k2.7-code: 2,000 ms
Estimate your workload
Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.
Checking current pricing…
Checking current pricing…
Quick take
- gemini-4-argon has a larger context window.
- kimi-k2.7-code recorded higher recent LLM7 stability during this period.
- kimi-k2.7-code recorded a lower observed p95 API latency on LLM7 during this period.