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gpt-oss:20bvsmuse-spark-1.3

Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.

Current pricing

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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

gpt-oss:20b

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%+

gpt-oss:20b · leads in 13

30%

Weak

muse-spark-1.3 · leads in 14

29%

Weak

Knowledge & reasoning

  • General knowledge

    gpt-oss:20bLeads26%
    muse-spark-1.316%
  • Logical reasoning

    gpt-oss:20b14%
    muse-spark-1.3Leads35%
  • Mathematics

    gpt-oss:20b23%
    muse-spark-1.3Leads29%
  • Scientific and technical depth

    gpt-oss:20bLeads24%
    muse-spark-1.323%
  • Planning and task decomposition

    gpt-oss:20b15%
    muse-spark-1.3Leads39%

Coding & tools

  • Code generation

    gpt-oss:20bLeads32%
    muse-spark-1.324%
  • Debugging and code review

    gpt-oss:20b26%
    muse-spark-1.3Leads33%
  • Agentic coding

    gpt-oss:20b26%
    muse-spark-1.3Leads42%
  • Tool and function calling

    gpt-oss:20b30%
    muse-spark-1.3Leads37%
  • SQL and query writing

    gpt-oss:20b27%
    muse-spark-1.3Leads31%

Writing & language

  • Creative writing

    gpt-oss:20b26%
    muse-spark-1.3Leads32%
  • Professional writing

    gpt-oss:20b24%
    muse-spark-1.3Leads26%
  • Conversational quality

    gpt-oss:20b21%
    muse-spark-1.321%
  • Multilingual ability

    gpt-oss:20bLeads28%
    muse-spark-1.326%
  • Translation

    gpt-oss:20bLeads25%
    muse-spark-1.322%
  • Summarization

    gpt-oss:20bLeads21%
    muse-spark-1.313%

Data & professional work

  • Data analysis

    gpt-oss:20b22%
    muse-spark-1.3Leads28%
  • Professional domains

    gpt-oss:20b19%
    muse-spark-1.3Leads24%
  • Information extraction

    gpt-oss:20b30%
    muse-spark-1.330%
  • Classification and labeling

    gpt-oss:20bLeads31%
    muse-spark-1.329%
  • Long-context handling

    gpt-oss:20bLeads26%
    muse-spark-1.36%

Reliability & control

  • Instruction following

    gpt-oss:20b23%
    muse-spark-1.3Leads30%
  • Structured output

    gpt-oss:20bLeads46%
    muse-spark-1.340%
  • Factual accuracy

    gpt-oss:20bLeads25%
    muse-spark-1.320%
  • Safety and alignment

    gpt-oss:20b24%
    muse-spark-1.3Leads25%
  • Steerability

    gpt-oss:20b23%
    muse-spark-1.3Leads30%
  • Output consistency

    gpt-oss:20bLeads51%
    muse-spark-1.337%

Speed, cost & vision

  • Response speed

    gpt-oss:20bLeads69%
    muse-spark-1.344%
  • Cost efficiency

    gpt-oss:20bLeads80%
    muse-spark-1.355%
  • Image understanding

    gpt-oss:20bNo 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

gpt-oss:20b

99.11%

muse-spark-1.3

0%

Average response time

gpt-oss:20b

2,686.07 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

gpt-oss:20b: 2,509 msmuse-spark-1.3: 263,946 ms
16 Oct21 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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