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anthropic/claude-opus-4-6vsglm-5.3

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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-4-6

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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-4-6

text, image, json

glm-5.3

text

Vision

anthropic/claude-opus-4-6Better fit

Supported

glm-5.3

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-4-6 · leads in 25

82%

Strong

glm-5.3 · leads in 4

58%

Moderate

Knowledge & reasoning

  • General knowledge

    anthropic/claude-opus-4-6Leads86%
    glm-5.353%

  • Logical reasoning

    anthropic/claude-opus-4-6Leads89%
    glm-5.361%

  • Mathematics

    anthropic/claude-opus-4-6Leads86%
    glm-5.366%

  • Scientific and technical depth

    anthropic/claude-opus-4-6Leads91%
    glm-5.359%

  • Planning and task decomposition

    anthropic/claude-opus-4-6Leads88%
    glm-5.361%

Coding & tools

  • Code generation

    anthropic/claude-opus-4-6Leads80%
    glm-5.350%

  • Debugging and code review

    anthropic/claude-opus-4-6Leads88%
    glm-5.361%

  • Agentic coding

    anthropic/claude-opus-4-6Leads87%
    glm-5.364%

  • Tool and function calling

    anthropic/claude-opus-4-6Leads90%
    glm-5.357%

  • SQL and query writing

    anthropic/claude-opus-4-6Leads86%
    glm-5.365%

Writing & language

  • Creative writing

    anthropic/claude-opus-4-6Leads87%
    glm-5.347%

  • Professional writing

    anthropic/claude-opus-4-6Leads91%
    glm-5.354%

  • Conversational quality

    anthropic/claude-opus-4-6Leads90%
    glm-5.351%

  • Multilingual ability

    anthropic/claude-opus-4-671%
    glm-5.3Leads86%

  • Translation

    anthropic/claude-opus-4-6Leads87%
    glm-5.364%

  • Summarization

    anthropic/claude-opus-4-6Leads82%
    glm-5.360%

Data & professional work

  • Data analysis

    anthropic/claude-opus-4-6Leads87%
    glm-5.364%

  • Professional domains

    anthropic/claude-opus-4-6Leads92%
    glm-5.356%

  • Information extraction

    anthropic/claude-opus-4-6Leads89%
    glm-5.362%

  • Classification and labeling

    anthropic/claude-opus-4-6Leads82%
    glm-5.363%

  • Long-context handling

    anthropic/claude-opus-4-656%
    glm-5.3Leads75%

Reliability & control

  • Instruction following

    anthropic/claude-opus-4-6Leads91%
    glm-5.355%

  • Structured output

    anthropic/claude-opus-4-6Leads97%
    glm-5.360%

  • Factual accuracy

    anthropic/claude-opus-4-6Leads96%
    glm-5.353%

  • Safety and alignment

    anthropic/claude-opus-4-6Leads94%
    glm-5.347%

  • Steerability

    anthropic/claude-opus-4-6Leads93%
    glm-5.353%

  • Output consistency

    anthropic/claude-opus-4-6Leads95%
    glm-5.360%

Speed, cost & vision

  • Response speed

    anthropic/claude-opus-4-611%
    glm-5.3Leads34%

  • Cost efficiency

    anthropic/claude-opus-4-616%
    glm-5.3Leads36%

  • Image understanding

    anthropic/claude-opus-4-672%
    glm-5.3No image input

Latest LLM7 statistics

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

Recent stability

anthropic/claude-opus-4-6

98.13%

glm-5.3

98.84%

Average response time

anthropic/claude-opus-4-6

6,959.2 ms

glm-5.3

20,395.48 ms

P95 API latency

anthropic/claude-opus-4-6

30,000 ms

glm-5.3

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-4-6: 98%glm-5.3: 100%
21 Sept21 Oct

Average API latency

Both models on the same scale

anthropic/claude-opus-4-6: 7,280 msglm-5.3: 5,597 ms
21 Sept21 Oct

P95 API latency

Both models on the same scale

anthropic/claude-opus-4-6: 30,000 msglm-5.3: 10,000 ms
21 Sept21 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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Quick take

  • anthropic/claude-opus-4-6 supports image input while the other model does not.
  • The recent stability rates are too close to distinguish meaningfully.
  • anthropic/claude-opus-4-6 recorded a lower observed p95 API latency on LLM7 during this period.

Keep exploring

About anthropic/claude-opus-4-6About glm-5.3anthropic/claude-opus-4-6 vs deepseek-v4-flash:0731anthropic/claude-opus-4-6 vs nemotron-3-nano:30banthropic/claude-opus-4-6 vs mistral-Nemo-Instruct-2407glm-5.2 vs glm-5.3claude-opus-5 vs glm-5.3deepseek-v4-pro vs glm-5.3