Time to First Token · Claude Opus 4.8 (Adaptive Reasoning, Max Effort)
0ms
Time to First Token · DeepSeek V4 Pro (Reasoning, High Effort)
1349ms
Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs DeepSeek V4 Pro (Reasoning, High 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 DeepSeek V4 Pro (Reasoning, High Effort) Showdown
The current catalog does not contain complete performance evidence for both models, so this page does not declare an overall winner. Use the available fields as comparison signals and validate the models on your own workload.
Model Snapshot
Key decision metrics at a glance.
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)DeepSeek V4 Pro (Reasoning, High Effort)
6.0
Reasoning6.0
7.0
Coding6.0
5.0
Multimodal4.0
7.0
Long Context5.0
$10
Blended Price / 1M tokens$0.544
—
P95 Latency—
0
Tokens per second62.181
Machine-readable comparison data
| Model | Metric | Value | Unit | Source / snapshot |
|---|---|---|---|---|
| Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| DeepSeek V4 Pro (Reasoning, High Effort) | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | Coding | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| DeepSeek V4 Pro (Reasoning, High Effort) | Coding | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | Multimodal | 5.0 | benchmark or capability score | Artificial Analysis · current catalog |
| DeepSeek V4 Pro (Reasoning, High Effort) | Multimodal | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | Long Context | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| DeepSeek V4 Pro (Reasoning, High Effort) | Long Context | 5.0 | benchmark or capability score | Artificial Analysis · current catalog |
| Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | Blended Price / 1M tokens | $10 | USD per 1M tokens | Artificial Analysis · current catalog |
| DeepSeek V4 Pro (Reasoning, High Effort) | Blended Price / 1M tokens | $0.544 | USD per 1M tokens | Artificial Analysis · current catalog |
| Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| DeepSeek V4 Pro (Reasoning, High Effort) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| Claude Opus 4.8 (Adaptive Reasoning, Max Effort) | Tokens per second | 0 | tokens per second | Artificial Analysis · current catalog |
| DeepSeek V4 Pro (Reasoning, High Effort) | Tokens per second | 62.181 | tokens per second | Artificial Analysis · current catalog |
Data provided by Artificial Analysis; live values use the current catalog.
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 `DeepSeek V4 Pro (Reasoning, High Effort)`.
Claude Opus 4.8 (Adaptive Reasoning, Max Effort)DeepSeek V4 Pro (Reasoning, High Effort)
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
74.358.7
ARTIFICIAL ANALYSIS CODING57.343.7
ARTIFICIAL ANALYSIS INTELLIGENCEClaude Opus 4.8 (Adaptive Reasoning, Max Effort)DeepSeek V4 Pro (Reasoning, High 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)
0
Tokens per Second · DeepSeek V4 Pro (Reasoning, High Effort)
62.181
The Economics of Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs DeepSeek V4 Pro (Reasoning, High Effort)
Pricing Breakdown
Compare input and output pricing in USD per 1M tokens.
$5$0.435
Input Pricing$25$0.87
Output PricingClaude Opus 4.8 (Adaptive Reasoning, Max Effort)DeepSeek V4 Pro (Reasoning, High Effort)
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensClaude Opus 4.8 (Adaptive Reasoning, Max Effort)$11.25
DeepSeek V4 Pro (Reasoning, High Effort)$0.652
DeepSeek V4 Pro (Reasoning, High Effort) costs $10.598 less per run
Your Questions about the Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs DeepSeek V4 Pro (Reasoning, High Effort) Comparison
Is `Claude Opus 4.8 (Adaptive Reasoning, Max Effort)` a direct replacement for `DeepSeek V4 Pro (Reasoning, High Effort)`?
The current Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs DeepSeek V4 Pro (Reasoning, High Effort) data does not establish a universal replacement. Compare the available metrics, then validate quality, latency, reliability, and cost on your own workload.
For coding, which is better in the `Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs DeepSeek V4 Pro (Reasoning, High Effort)` debate?
The benchmark data in our Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs DeepSeek V4 Pro (Reasoning, High Effort) comparison shows Claude Opus 4.8 (Adaptive Reasoning, Max Effort) has a clear advantage, scoring 74.3 on LiveCodeBench versus 58.7.
How was this `Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs DeepSeek V4 Pro (Reasoning, High Effort)` comparison conducted?
Our Claude Opus 4.8 (Adaptive Reasoning, Max Effort) vs DeepSeek V4 Pro (Reasoning, High Effort) comparison uses published benchmark, pricing, speed, and latency fields provided by Artificial Analysis. Missing values remain unavailable, and the result should be checked against your workload.