anthropic/claude-opus-4-8
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Chat comparison
anthropic/claude-opus-4-8vsglm-5.3
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
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glm-5.3
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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.
Input formats
anthropic/claude-opus-4-8
text, image, json
glm-5.3
text
Vision
anthropic/claude-opus-4-8Better 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-4-8 · leads in 25
84%
Strong
glm-5.3 · leads in 4
58%
Moderate
Knowledge & reasoning
General knowledge
anthropic/claude-opus-4-8Leads88%glm-5.353%Logical reasoning
anthropic/claude-opus-4-8Leads91%glm-5.361%Mathematics
anthropic/claude-opus-4-8Leads88%glm-5.366%Scientific and technical depth
anthropic/claude-opus-4-8Leads93%glm-5.359%Planning and task decomposition
anthropic/claude-opus-4-8Leads90%glm-5.361%
Coding & tools
Code generation
anthropic/claude-opus-4-8Leads82%glm-5.350%Debugging and code review
anthropic/claude-opus-4-8Leads90%glm-5.361%Agentic coding
anthropic/claude-opus-4-8Leads90%glm-5.364%Tool and function calling
anthropic/claude-opus-4-8Leads92%glm-5.357%SQL and query writing
anthropic/claude-opus-4-8Leads88%glm-5.365%
Writing & language
Creative writing
anthropic/claude-opus-4-8Leads89%glm-5.347%Professional writing
anthropic/claude-opus-4-8Leads93%glm-5.354%Conversational quality
anthropic/claude-opus-4-8Leads92%glm-5.351%Multilingual ability
anthropic/claude-opus-4-873%glm-5.3Leads86%Translation
anthropic/claude-opus-4-8Leads89%glm-5.364%Summarization
anthropic/claude-opus-4-8Leads84%glm-5.360%
Data & professional work
Data analysis
anthropic/claude-opus-4-8Leads89%glm-5.364%Professional domains
anthropic/claude-opus-4-8Leads94%glm-5.356%Information extraction
anthropic/claude-opus-4-8Leads91%glm-5.362%Classification and labeling
anthropic/claude-opus-4-8Leads84%glm-5.363%Long-context handling
anthropic/claude-opus-4-858%glm-5.3Leads75%
Reliability & control
Instruction following
anthropic/claude-opus-4-8Leads93%glm-5.355%Structured output
anthropic/claude-opus-4-8Leads99%glm-5.360%Factual accuracy
anthropic/claude-opus-4-8Leads98%glm-5.353%Safety and alignment
anthropic/claude-opus-4-8Leads96%glm-5.347%Steerability
anthropic/claude-opus-4-8Leads95%glm-5.353%Output consistency
anthropic/claude-opus-4-8Leads97%glm-5.360%
Speed, cost & vision
Response speed
anthropic/claude-opus-4-811%glm-5.3Leads34%Cost efficiency
anthropic/claude-opus-4-818%glm-5.3Leads36%Image understanding
anthropic/claude-opus-4-879%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-4-8
97.2%
glm-5.3
98.84%
Average response time
anthropic/claude-opus-4-8
7,987.25 ms
glm-5.3
20,395.48 ms
P95 API latency
anthropic/claude-opus-4-8
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-4-8: 97%glm-5.3: 100%
Average API latency
Both models on the same scale
anthropic/claude-opus-4-8: 8,328 msglm-5.3: 5,597 ms
P95 API latency
Both models on the same scale
anthropic/claude-opus-4-8: 30,000 msglm-5.3: 10,000 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-4-8 supports image input while the other model does not.
- glm-5.3 recorded higher recent LLM7 stability during this period.
- anthropic/claude-opus-4-8 recorded a lower observed p95 API latency on LLM7 during this period.