Time to First Token · Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
300ms
Time to First Token · Claude Opus 5 (Adaptive Reasoning, Medium Effort)
300ms
Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort): The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort) Showdown
Claude Opus 5 (Adaptive Reasoning, Medium Effort) takes this matchup on raw intelligence and reasoning. Pick Claude Opus 4.8 (Adaptive Reasoning, Max Effort) when faster response times and cost-efficiency matters more.
Model Snapshot
Key decision metrics at a glance.
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)Claude Opus 5 (Adaptive Reasoning, Medium Effort)
6.0
Reasoning6.0
7.0
Coding7.0
5.0
Multimodal5.0
7.0
Long Context7.0
$0.010
Blended Price / 1M tokens$0.010
1000ms
P95 Latency1000ms
—
Tokens per second55
Data provided by artificialanalysis.ai
Overall Capabilities
This radar chart visually maps the core capabilities (reasoning, coding, math proxy, multimodal, long context) of `Claude Opus 4.8 (Adaptive Reasoning, Max Effort)` vs `Claude Opus 5 (Adaptive Reasoning, Medium Effort)`.
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)Claude Opus 5 (Adaptive Reasoning, Medium Effort)
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
6060
MMLU Pro4848
AIME7070
LiveCodeBench5454
GSM8KClaude Opus 4.8 (Adaptive Reasoning, Max Effort)Claude Opus 5 (Adaptive Reasoning, Medium Effort)
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
Tokens per Second · Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
28
Tokens per Second · Claude Opus 5 (Adaptive Reasoning, Medium Effort)
54.838
The Economics of Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort)
Pricing Breakdown
Compare input and output pricing at a glance.
$0.005$0.005
Input Pricing$0.025$0.025
Output PricingClaude Opus 4.8 (Adaptive Reasoning, Max Effort)Claude Opus 5 (Adaptive Reasoning, Medium Effort)
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensClaude Opus 4.8 (Adaptive Reasoning, Max Effort)$0.011
Claude Opus 5 (Adaptive Reasoning, Medium Effort)$0.011
Which Model Wins the Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort) Battle for You?
Choose Claude Opus 4.8 (Adaptive Reasoning, Max Effort) if...
No measurable edge on these metrics
Choose Claude Opus 5 (Adaptive Reasoning, Medium Effort) if...
No measurable edge on these metrics
Your Questions about the Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort) Comparison
Is `Claude Opus 4.8 (Adaptive Reasoning, Max Effort)` a direct replacement for `Claude Opus 5 (Adaptive Reasoning, Medium Effort)`?
Based on our Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort) analysis, they serve different niches. Claude Opus 4.8 (Adaptive Reasoning, Max Effort) is positioned as a more powerful option, but Claude Opus 5 (Adaptive Reasoning, Medium Effort)'s distinct advantages in areas like speed or cost ensure it remains relevant.
For coding, which is better in the `Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort)` debate?
The benchmark data in our Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort) comparison shows Claude Opus 5 (Adaptive Reasoning, Medium Effort) has a clear advantage, scoring 70 on LiveCodeBench versus 70.
How was this `Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort)` comparison conducted?
Our Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs Claude Opus 5 (Adaptive Reasoning, Medium Effort) comparison uses standardized benchmark data and pricing information directly from the model creators to ensure objectivity and accuracy.