anthropic/claude-opus-4-7
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Chat comparison
anthropic/claude-opus-4-7vsmistral-Nemo-Instruct-2407
Compare the things that matter before you build: current price, capabilities, and latest aggregated LLM7 statistics.
Current pricing
See the cost difference clearly
mistral-Nemo-Instruct-2407
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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
mistral-Nemo-Instruct-2407
text
Vision
anthropic/claude-opus-4-7Better fit
Supported
mistral-Nemo-Instruct-2407
Not supported
Tool calling
anthropic/claude-opus-4-7Better fit
Supported
mistral-Nemo-Instruct-2407
Not supported
Reasoning
anthropic/claude-opus-4-7Better fit
Supported
mistral-Nemo-Instruct-2407
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
mistral-Nemo-Instruct-2407 · leads in 2
34%
Weak
Knowledge & reasoning
General knowledge
anthropic/claude-opus-4-7Leads87%mistral-Nemo-Instruct-240724%Logical reasoning
anthropic/claude-opus-4-7Leads89%mistral-Nemo-Instruct-240715%Mathematics
anthropic/claude-opus-4-7Leads87%mistral-Nemo-Instruct-240727%Scientific and technical depth
anthropic/claude-opus-4-7Leads92%mistral-Nemo-Instruct-240723%Planning and task decomposition
anthropic/claude-opus-4-7Leads89%mistral-Nemo-Instruct-240711%
Coding & tools
Code generation
anthropic/claude-opus-4-7Leads81%mistral-Nemo-Instruct-240735%Debugging and code review
anthropic/claude-opus-4-7Leads89%mistral-Nemo-Instruct-240724%Agentic coding
anthropic/claude-opus-4-7Leads88%mistral-Nemo-Instruct-24078%Tool and function calling
anthropic/claude-opus-4-7Leads91%mistral-Nemo-Instruct-24077%SQL and query writing
anthropic/claude-opus-4-7Leads87%mistral-Nemo-Instruct-240735%
Writing & language
Creative writing
anthropic/claude-opus-4-7Leads88%mistral-Nemo-Instruct-240728%Professional writing
anthropic/claude-opus-4-7Leads92%mistral-Nemo-Instruct-240730%Conversational quality
anthropic/claude-opus-4-7Leads91%mistral-Nemo-Instruct-240730%Multilingual ability
anthropic/claude-opus-4-7Leads72%mistral-Nemo-Instruct-240765%Translation
anthropic/claude-opus-4-7Leads88%mistral-Nemo-Instruct-240732%Summarization
anthropic/claude-opus-4-7Leads82%mistral-Nemo-Instruct-240725%
Data & professional work
Data analysis
anthropic/claude-opus-4-7Leads88%mistral-Nemo-Instruct-240721%Professional domains
anthropic/claude-opus-4-7Leads93%mistral-Nemo-Instruct-240718%Information extraction
anthropic/claude-opus-4-7Leads90%mistral-Nemo-Instruct-240735%Classification and labeling
anthropic/claude-opus-4-7Leads83%mistral-Nemo-Instruct-240737%Long-context handling
anthropic/claude-opus-4-7Leads56%mistral-Nemo-Instruct-240729%
Reliability & control
Instruction following
anthropic/claude-opus-4-7Leads92%mistral-Nemo-Instruct-240745%Structured output
anthropic/claude-opus-4-7Leads98%mistral-Nemo-Instruct-240751%Factual accuracy
anthropic/claude-opus-4-7Leads97%mistral-Nemo-Instruct-240737%Safety and alignment
anthropic/claude-opus-4-7Leads95%mistral-Nemo-Instruct-240733%Steerability
anthropic/claude-opus-4-7Leads94%mistral-Nemo-Instruct-240739%Output consistency
anthropic/claude-opus-4-7Leads96%mistral-Nemo-Instruct-240771%
Speed, cost & vision
Response speed
anthropic/claude-opus-4-711%mistral-Nemo-Instruct-2407Leads76%Cost efficiency
anthropic/claude-opus-4-717%mistral-Nemo-Instruct-2407Leads84%Image understanding
anthropic/claude-opus-4-775%mistral-Nemo-Instruct-2407No 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%
mistral-Nemo-Instruct-2407
99.4%
Average response time
anthropic/claude-opus-4-7
7,419.7 ms
mistral-Nemo-Instruct-2407
5,547.3 ms
P95 API latency
anthropic/claude-opus-4-7
30,000 ms
mistral-Nemo-Instruct-2407
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-4-7: 96.9%mistral-Nemo-Instruct-2407: 97.1%
Average API latency
Both models on the same scale
anthropic/claude-opus-4-7: 7,629 msmistral-Nemo-Instruct-2407: 2,920 ms
P95 API latency
Both models on the same scale
anthropic/claude-opus-4-7: 30,000 msmistral-Nemo-Instruct-2407: 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-4-7 supports image input while the other model does not.
- mistral-Nemo-Instruct-2407 recorded higher recent LLM7 stability during this period.
Keep exploring
About anthropic/claude-opus-4-7About mistral-Nemo-Instruct-2407anthropic/claude-opus-4-7 vs deepseek-v4-flash:0731anthropic/claude-opus-4-7 vs gemini-3.8-flash-highanthropic/claude-opus-4-7 vs minimax-m2.7gemini-3-flash vs mistral-Nemo-Instruct-2407claude-fable-5 vs mistral-Nemo-Instruct-2407mistral-Nemo-Instruct-2407 vs nemotron-3-nano:30b