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Chat comparison

gemma4:31bvskimi-k2.7-code

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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

gemma4:31bBetter fit

262,000 tokens

kimi-k2.7-code

256,000 tokens

Reasoning

gemma4:31b

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%+

gemma4:31b · leads in 3

34%

Weak

kimi-k2.7-code · leads in 26

53%

Moderate

Knowledge & reasoning

  • General knowledge

    gemma4:31b33%
    kimi-k2.7-codeLeads37%
  • Logical reasoning

    gemma4:31b19%
    kimi-k2.7-codeLeads59%
  • Mathematics

    gemma4:31b31%
    kimi-k2.7-codeLeads68%
  • Scientific and technical depth

    gemma4:31b34%
    kimi-k2.7-codeLeads56%
  • Planning and task decomposition

    gemma4:31b17%
    kimi-k2.7-codeLeads62%

Coding & tools

  • Code generation

    gemma4:31b33%
    kimi-k2.7-codeLeads87%
  • Debugging and code review

    gemma4:31b29%
    kimi-k2.7-codeLeads88%
  • Agentic coding

    gemma4:31b26%
    kimi-k2.7-codeLeads81%
  • Tool and function calling

    gemma4:31b29%
    kimi-k2.7-codeLeads58%
  • SQL and query writing

    gemma4:31b34%
    kimi-k2.7-codeLeads84%

Writing & language

  • Creative writing

    gemma4:31b33%
    kimi-k2.7-codeLeads36%
  • Professional writing

    gemma4:31b31%
    kimi-k2.7-codeLeads39%
  • Conversational quality

    gemma4:31b23%
    kimi-k2.7-codeLeads41%
  • Multilingual ability

    gemma4:31b44%
    kimi-k2.7-codeLeads55%
  • Translation

    gemma4:31b32%
    kimi-k2.7-codeLeads48%
  • Summarization

    gemma4:31b31%
    kimi-k2.7-codeLeads48%

Data & professional work

  • Data analysis

    gemma4:31b29%
    kimi-k2.7-codeLeads59%
  • Professional domains

    gemma4:31b26%
    kimi-k2.7-codeLeads43%
  • Information extraction

    gemma4:31b35%
    kimi-k2.7-codeLeads52%
  • Classification and labeling

    gemma4:31b38%
    kimi-k2.7-codeLeads44%
  • Long-context handling

    gemma4:31b39%
    kimi-k2.7-codeLeads52%

Reliability & control

  • Instruction following

    gemma4:31b29%
    kimi-k2.7-codeLeads50%
  • Structured output

    gemma4:31b46%
    kimi-k2.7-codeLeads59%
  • Factual accuracy

    gemma4:31b34%
    kimi-k2.7-codeLeads44%
  • Safety and alignment

    gemma4:31b31%
    kimi-k2.7-codeLeads39%
  • Steerability

    gemma4:31b28%
    kimi-k2.7-codeLeads45%
  • Output consistency

    gemma4:31bLeads57%
    kimi-k2.7-code53%

Speed, cost & vision

  • Response speed

    gemma4:31bLeads48%
    kimi-k2.7-code30%
  • Cost efficiency

    gemma4:31bLeads59%
    kimi-k2.7-code34%
  • Image understanding

    gemma4:31bNo image input
    kimi-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

gemma4:31b

99.73%

kimi-k2.7-code

99.83%

Average response time

gemma4:31b

6,204.99 ms

kimi-k2.7-code

6,571.81 ms

P95 API latency

gemma4:31b

30,000 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

gemma4:31b: 100%kimi-k2.7-code: 100%
21 Sept21 Oct

Average API latency

Both models on the same scale

gemma4:31b: 6,773 mskimi-k2.7-code: 1,138 ms
21 Sept21 Oct

P95 API latency

Both models on the same scale

gemma4:31b: 30,000 mskimi-k2.7-code: 2,000 ms
21 Sept21 Oct

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

  • gemma4:31b has a larger context window.
  • The recent stability rates are too close to distinguish meaningfully.

Keep exploring