Claude Opus 4.5 (Reasoning) vs Nova Lite: The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the Claude Opus 4.5 (Reasoning) vs Nova Lite Showdown
Model Snapshot
Key decision metrics at a glance.
- Reasoning
- 9
- Coding
- 5
- Multimodal
- 4
- Long Context
- 6
- Blended Price / 1M tokens
- $0.010
- P95 Latency
- 1000ms
- Tokens per second
- 85.463tokens/sec
- Reasoning
- 1
- Coding
- 1
- Multimodal
- 1
- Long Context
- 2
- Blended Price / 1M tokens
- $0.000
- P95 Latency
- 1000ms
- Tokens per second
- 221.477tokens/sec
Overall Capabilities
The capability radar provides a holistic view of the Claude Opus 4.5 (Reasoning) vs Nova Lite matchup. This chart illustrates each model's strengths and weaknesses at a glance, forming a cornerstone of our Claude Opus 4.5 (Reasoning) vs Nova Lite analysis.
Benchmark Breakdown
For a granular look, this chart directly compares scores across standardized benchmarks. In the critical MMLU Pro test, a key part of the Claude Opus 4.5 (Reasoning) vs Nova Lite debate, Claude Opus 4.5 (Reasoning) scores 90 against Nova Lite's 10. This data-driven approach is essential for any serious Claude Opus 4.5 (Reasoning) vs Nova Lite comparison.
Speed & Latency
Speed is a crucial factor in the Claude Opus 4.5 (Reasoning) vs Nova Lite decision for interactive applications. The metrics below highlight the trade-offs you should weigh before shipping to production.
The Economics of Claude Opus 4.5 (Reasoning) vs Nova Lite
Power is only one part of the equation. This Claude Opus 4.5 (Reasoning) vs Nova Lite pricing analysis gives you a true sense of value.
Real-World Cost Scenario
Claude Opus 4.5 (Reasoning) would cost $0.011, whereas Nova Lite would cost $0.000. This practical calculation is vital for any developer considering the Claude Opus 4.5 (Reasoning) vs Nova Lite choice.Which Model Wins the Claude Opus 4.5 (Reasoning) vs Nova Lite Battle for You?
Your Questions about the Claude Opus 4.5 (Reasoning) vs Nova Lite Comparison
Data source: https://artificialanalysis.ai/
