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kimi-k3vsmuse-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.

Reasoning

kimi-k3

Not supported

muse-spark-1.3Better 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%+

kimi-k3 · leads in 21

40%

Weak

muse-spark-1.3 · leads in 8

29%

Weak

Knowledge & reasoning

  • General knowledge

    kimi-k3Leads40%
    muse-spark-1.316%
  • Logical reasoning

    kimi-k322%
    muse-spark-1.3Leads35%
  • Mathematics

    kimi-k3Leads39%
    muse-spark-1.329%
  • Scientific and technical depth

    kimi-k3Leads32%
    muse-spark-1.323%
  • Planning and task decomposition

    kimi-k323%
    muse-spark-1.3Leads39%

Coding & tools

  • Code generation

    kimi-k3Leads31%
    muse-spark-1.324%
  • Debugging and code review

    kimi-k329%
    muse-spark-1.3Leads33%
  • Agentic coding

    kimi-k333%
    muse-spark-1.3Leads42%
  • Tool and function calling

    kimi-k335%
    muse-spark-1.3Leads37%
  • SQL and query writing

    kimi-k3Leads35%
    muse-spark-1.331%

Writing & language

  • Creative writing

    kimi-k3Leads34%
    muse-spark-1.332%
  • Professional writing

    kimi-k3Leads37%
    muse-spark-1.326%
  • Conversational quality

    kimi-k3Leads34%
    muse-spark-1.321%
  • Multilingual ability

    kimi-k3Leads61%
    muse-spark-1.326%
  • Translation

    kimi-k3Leads46%
    muse-spark-1.322%
  • Summarization

    kimi-k3Leads62%
    muse-spark-1.313%

Data & professional work

  • Data analysis

    kimi-k3Leads43%
    muse-spark-1.328%
  • Professional domains

    kimi-k3Leads34%
    muse-spark-1.324%
  • Information extraction

    kimi-k3Leads51%
    muse-spark-1.330%
  • Classification and labeling

    kimi-k3Leads41%
    muse-spark-1.329%
  • Long-context handling

    kimi-k3Leads85%
    muse-spark-1.36%

Reliability & control

  • Instruction following

    kimi-k3Leads34%
    muse-spark-1.330%
  • Structured output

    kimi-k3Leads50%
    muse-spark-1.340%
  • Factual accuracy

    kimi-k3Leads40%
    muse-spark-1.320%
  • Safety and alignment

    kimi-k3Leads34%
    muse-spark-1.325%
  • Steerability

    kimi-k329%
    muse-spark-1.3Leads30%
  • Output consistency

    kimi-k3Leads48%
    muse-spark-1.337%

Speed, cost & vision

  • Response speed

    kimi-k335%
    muse-spark-1.3Leads44%
  • Cost efficiency

    kimi-k339%
    muse-spark-1.3Leads55%
  • Image understanding

    kimi-k3No image input
    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

kimi-k3

97.87%

muse-spark-1.3

0%

Average response time

kimi-k3

12,694.11 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-k3: 69,350 msmuse-spark-1.3: 263,946 ms
21 Sept21 Oct

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Published rates are loaded from the pricing API; per-request quotes are billed from actual provider usage.

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