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anthropic/claude-opus-4-7vsgpt-6-sol

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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

anthropic/claude-opus-4-7

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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%+

anthropic/claude-opus-4-7 · leads in 15

83%

Strong

gpt-6-sol · leads in 15

84%

Strong

Knowledge & reasoning

  • General knowledge

    anthropic/claude-opus-4-787%
    gpt-6-solLeads93%
  • Logical reasoning

    anthropic/claude-opus-4-7Leads89%
    gpt-6-sol87%
  • Mathematics

    anthropic/claude-opus-4-787%
    gpt-6-solLeads93%
  • Scientific and technical depth

    anthropic/claude-opus-4-7Leads92%
    gpt-6-sol88%
  • Planning and task decomposition

    anthropic/claude-opus-4-7Leads89%
    gpt-6-sol86%

Coding & tools

  • Code generation

    anthropic/claude-opus-4-781%
    gpt-6-solLeads84%
  • Debugging and code review

    anthropic/claude-opus-4-789%
    gpt-6-solLeads90%
  • Agentic coding

    anthropic/claude-opus-4-788%
    gpt-6-solLeads91%
  • Tool and function calling

    anthropic/claude-opus-4-7Leads91%
    gpt-6-sol88%
  • SQL and query writing

    anthropic/claude-opus-4-787%
    gpt-6-solLeads92%

Writing & language

  • Creative writing

    anthropic/claude-opus-4-7Leads88%
    gpt-6-sol80%
  • Professional writing

    anthropic/claude-opus-4-7Leads92%
    gpt-6-sol85%
  • Conversational quality

    anthropic/claude-opus-4-7Leads91%
    gpt-6-sol86%
  • Multilingual ability

    anthropic/claude-opus-4-772%
    gpt-6-solLeads84%
  • Translation

    anthropic/claude-opus-4-788%
    gpt-6-solLeads89%
  • Summarization

    anthropic/claude-opus-4-782%
    gpt-6-solLeads84%

Data & professional work

  • Data analysis

    anthropic/claude-opus-4-788%
    gpt-6-solLeads94%
  • Professional domains

    anthropic/claude-opus-4-7Leads93%
    gpt-6-sol87%
  • Information extraction

    anthropic/claude-opus-4-790%
    gpt-6-solLeads94%
  • Classification and labeling

    anthropic/claude-opus-4-783%
    gpt-6-solLeads98%
  • Long-context handling

    anthropic/claude-opus-4-756%
    gpt-6-solLeads87%

Reliability & control

  • Instruction following

    anthropic/claude-opus-4-7Leads92%
    gpt-6-sol86%
  • Structured output

    anthropic/claude-opus-4-7Leads98%
    gpt-6-sol96%
  • Factual accuracy

    anthropic/claude-opus-4-7Leads97%
    gpt-6-sol83%
  • Safety and alignment

    anthropic/claude-opus-4-7Leads95%
    gpt-6-sol76%
  • Steerability

    anthropic/claude-opus-4-7Leads94%
    gpt-6-sol82%
  • Output consistency

    anthropic/claude-opus-4-7Leads96%
    gpt-6-sol91%

Speed, cost & vision

  • Response speed

    anthropic/claude-opus-4-711%
    gpt-6-solLeads39%
  • Cost efficiency

    anthropic/claude-opus-4-717%
    gpt-6-solLeads47%
  • Image understanding

    anthropic/claude-opus-4-7Leads75%
    gpt-6-sol63%

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%

gpt-6-sol

87.5%

Average response time

anthropic/claude-opus-4-7

7,419.7 ms

gpt-6-sol

25,735 ms

P95 API latency

anthropic/claude-opus-4-7

30,000 ms

gpt-6-sol

60,000 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

anthropic/claude-opus-4-7: 96.9%gpt-6-sol: 100%
27 Sept20 Oct

Average API latency

Both models on the same scale

anthropic/claude-opus-4-7: 7,629 msgpt-6-sol: 1,319 ms
27 Sept20 Oct

P95 API latency

Both models on the same scale

anthropic/claude-opus-4-7: 30,000 msgpt-6-sol: 2,000 ms
27 Sept20 Oct

Estimate your workload

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

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