anthropic/claude-opus-4-6
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Chat comparison
anthropic/claude-opus-4-6vsgemma4:31b
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
gemma4:31b
Checking current pricing…
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
gemma4:31b
text
Vision
anthropic/claude-opus-4-6Better fit
Supported
gemma4:31b
Not supported
Reasoning
anthropic/claude-opus-4-6Better fit
Supported
gemma4:31b
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 27
82%
Strong
gemma4:31b · leads in 2
34%
Weak
Knowledge & reasoning
General knowledge
anthropic/claude-opus-4-6Leads86%gemma4:31b33%Logical reasoning
anthropic/claude-opus-4-6Leads89%gemma4:31b19%Mathematics
anthropic/claude-opus-4-6Leads86%gemma4:31b31%Scientific and technical depth
anthropic/claude-opus-4-6Leads91%gemma4:31b34%Planning and task decomposition
anthropic/claude-opus-4-6Leads88%gemma4:31b17%
Coding & tools
Code generation
anthropic/claude-opus-4-6Leads80%gemma4:31b33%Debugging and code review
anthropic/claude-opus-4-6Leads88%gemma4:31b29%Agentic coding
anthropic/claude-opus-4-6Leads87%gemma4:31b26%Tool and function calling
anthropic/claude-opus-4-6Leads90%gemma4:31b29%SQL and query writing
anthropic/claude-opus-4-6Leads86%gemma4:31b34%
Writing & language
Creative writing
anthropic/claude-opus-4-6Leads87%gemma4:31b33%Professional writing
anthropic/claude-opus-4-6Leads91%gemma4:31b31%Conversational quality
anthropic/claude-opus-4-6Leads90%gemma4:31b23%Multilingual ability
anthropic/claude-opus-4-6Leads71%gemma4:31b44%Translation
anthropic/claude-opus-4-6Leads87%gemma4:31b32%Summarization
anthropic/claude-opus-4-6Leads82%gemma4:31b31%
Data & professional work
Data analysis
anthropic/claude-opus-4-6Leads87%gemma4:31b29%Professional domains
anthropic/claude-opus-4-6Leads92%gemma4:31b26%Information extraction
anthropic/claude-opus-4-6Leads89%gemma4:31b35%Classification and labeling
anthropic/claude-opus-4-6Leads82%gemma4:31b38%Long-context handling
anthropic/claude-opus-4-6Leads56%gemma4:31b39%
Reliability & control
Instruction following
anthropic/claude-opus-4-6Leads91%gemma4:31b29%Structured output
anthropic/claude-opus-4-6Leads97%gemma4:31b46%Factual accuracy
anthropic/claude-opus-4-6Leads96%gemma4:31b34%Safety and alignment
anthropic/claude-opus-4-6Leads94%gemma4:31b31%Steerability
anthropic/claude-opus-4-6Leads93%gemma4:31b28%Output consistency
anthropic/claude-opus-4-6Leads95%gemma4:31b57%
Speed, cost & vision
Response speed
anthropic/claude-opus-4-611%gemma4:31bLeads48%Cost efficiency
anthropic/claude-opus-4-616%gemma4:31bLeads59%Image understanding
anthropic/claude-opus-4-672%gemma4:31bNo 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%
gemma4:31b
99.73%
Average response time
anthropic/claude-opus-4-6
6,959.2 ms
gemma4:31b
6,204.99 ms
P95 API latency
anthropic/claude-opus-4-6
30,000 ms
gemma4:31b
30,000 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%gemma4:31b: 100%
Average API latency
Both models on the same scale
anthropic/claude-opus-4-6: 7,280 msgemma4:31b: 6,773 ms
P95 API latency
Both models on the same scale
anthropic/claude-opus-4-6: 30,000 msgemma4:31b: 30,000 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-4-6 supports image input while the other model does not.
- gemma4:31b recorded higher recent LLM7 stability during this period.