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anthropic/claude-opus-4-7vsInkling-Small

Inkling logo

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

Current pricing

See the cost difference clearly

anthropic/claude-opus-4-7

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Inkling-Small

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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.

Input formats

anthropic/claude-opus-4-7

text, image, json

Inkling-Small

text

Vision

anthropic/claude-opus-4-7Better fit

Supported

Inkling-Small

Not 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%+

anthropic/claude-opus-4-7 · leads in 27

83%

Strong

Inkling-Small · leads in 2

28%

Weak

Knowledge & reasoning

  • General knowledge

    anthropic/claude-opus-4-7Leads87%
    Inkling-Small12%
  • Logical reasoning

    anthropic/claude-opus-4-7Leads89%
    Inkling-Small33%
  • Mathematics

    anthropic/claude-opus-4-7Leads87%
    Inkling-Small25%
  • Scientific and technical depth

    anthropic/claude-opus-4-7Leads92%
    Inkling-Small21%
  • Planning and task decomposition

    anthropic/claude-opus-4-7Leads89%
    Inkling-Small36%

Coding & tools

  • Code generation

    anthropic/claude-opus-4-7Leads81%
    Inkling-Small21%
  • Debugging and code review

    anthropic/claude-opus-4-7Leads89%
    Inkling-Small31%
  • Agentic coding

    anthropic/claude-opus-4-7Leads88%
    Inkling-Small41%
  • Tool and function calling

    anthropic/claude-opus-4-7Leads91%
    Inkling-Small33%
  • SQL and query writing

    anthropic/claude-opus-4-7Leads87%
    Inkling-Small27%

Writing & language

  • Creative writing

    anthropic/claude-opus-4-7Leads88%
    Inkling-Small26%
  • Professional writing

    anthropic/claude-opus-4-7Leads92%
    Inkling-Small23%
  • Conversational quality

    anthropic/claude-opus-4-7Leads91%
    Inkling-Small19%
  • Multilingual ability

    anthropic/claude-opus-4-7Leads72%
    Inkling-Small13%
  • Translation

    anthropic/claude-opus-4-7Leads88%
    Inkling-Small18%
  • Summarization

    anthropic/claude-opus-4-7Leads82%
    Inkling-Small28%

Data & professional work

  • Data analysis

    anthropic/claude-opus-4-7Leads88%
    Inkling-Small30%
  • Professional domains

    anthropic/claude-opus-4-7Leads93%
    Inkling-Small24%
  • Information extraction

    anthropic/claude-opus-4-7Leads90%
    Inkling-Small30%
  • Classification and labeling

    anthropic/claude-opus-4-7Leads83%
    Inkling-Small25%
  • Long-context handling

    anthropic/claude-opus-4-7Leads56%
    Inkling-Small49%

Reliability & control

  • Instruction following

    anthropic/claude-opus-4-7Leads92%
    Inkling-Small26%
  • Structured output

    anthropic/claude-opus-4-7Leads98%
    Inkling-Small37%
  • Factual accuracy

    anthropic/claude-opus-4-7Leads97%
    Inkling-Small17%
  • Safety and alignment

    anthropic/claude-opus-4-7Leads95%
    Inkling-Small20%
  • Steerability

    anthropic/claude-opus-4-7Leads94%
    Inkling-Small26%
  • Output consistency

    anthropic/claude-opus-4-7Leads96%
    Inkling-Small38%

Speed, cost & vision

  • Response speed

    anthropic/claude-opus-4-711%
    Inkling-SmallLeads54%
  • Cost efficiency

    anthropic/claude-opus-4-717%
    Inkling-SmallLeads31%
  • Image understanding

    anthropic/claude-opus-4-775%
    Inkling-SmallNo image input

Latest LLM7 statistics

Recent aggregated percentages and response-time metrics from LLM7, not a global model benchmark or traffic disclosure.

Recent stability

anthropic/claude-opus-4-7

97.14%

Inkling-Small

100%

Average response time

anthropic/claude-opus-4-7

7,419.7 ms

Inkling-Small

1,109 ms

P95 API latency

anthropic/claude-opus-4-7

30,000 ms

Inkling-Small

2,000 ms

Estimate your workload

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

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Quick take

  • anthropic/claude-opus-4-7 supports image input while the other model does not.

Keep exploring