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glm-5.3vsmuse-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%+

glm-5.3 · leads in 27

58%

Moderate

muse-spark-1.3 · leads in 2

29%

Weak

Knowledge & reasoning

  • General knowledge

    glm-5.3Leads53%
    muse-spark-1.316%
  • Logical reasoning

    glm-5.3Leads61%
    muse-spark-1.335%
  • Mathematics

    glm-5.3Leads66%
    muse-spark-1.329%
  • Scientific and technical depth

    glm-5.3Leads59%
    muse-spark-1.323%
  • Planning and task decomposition

    glm-5.3Leads61%
    muse-spark-1.339%

Coding & tools

  • Code generation

    glm-5.3Leads50%
    muse-spark-1.324%
  • Debugging and code review

    glm-5.3Leads61%
    muse-spark-1.333%
  • Agentic coding

    glm-5.3Leads64%
    muse-spark-1.342%
  • Tool and function calling

    glm-5.3Leads57%
    muse-spark-1.337%
  • SQL and query writing

    glm-5.3Leads65%
    muse-spark-1.331%

Writing & language

  • Creative writing

    glm-5.3Leads47%
    muse-spark-1.332%
  • Professional writing

    glm-5.3Leads54%
    muse-spark-1.326%
  • Conversational quality

    glm-5.3Leads51%
    muse-spark-1.321%
  • Multilingual ability

    glm-5.3Leads86%
    muse-spark-1.326%
  • Translation

    glm-5.3Leads64%
    muse-spark-1.322%
  • Summarization

    glm-5.3Leads60%
    muse-spark-1.313%

Data & professional work

  • Data analysis

    glm-5.3Leads64%
    muse-spark-1.328%
  • Professional domains

    glm-5.3Leads56%
    muse-spark-1.324%
  • Information extraction

    glm-5.3Leads62%
    muse-spark-1.330%
  • Classification and labeling

    glm-5.3Leads63%
    muse-spark-1.329%
  • Long-context handling

    glm-5.3Leads75%
    muse-spark-1.36%

Reliability & control

  • Instruction following

    glm-5.3Leads55%
    muse-spark-1.330%
  • Structured output

    glm-5.3Leads60%
    muse-spark-1.340%
  • Factual accuracy

    glm-5.3Leads53%
    muse-spark-1.320%
  • Safety and alignment

    glm-5.3Leads47%
    muse-spark-1.325%
  • Steerability

    glm-5.3Leads53%
    muse-spark-1.330%
  • Output consistency

    glm-5.3Leads60%
    muse-spark-1.337%

Speed, cost & vision

  • Response speed

    glm-5.334%
    muse-spark-1.3Leads44%
  • Cost efficiency

    glm-5.336%
    muse-spark-1.3Leads55%
  • Image understanding

    glm-5.3No 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

glm-5.3

98.84%

muse-spark-1.3

0%

Average response time

glm-5.3

20,395.48 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

glm-5.3: 5,597 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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