Time to First Token · DeepSeek V4 Pro 0813 (Reasoning, Max Effort)
1005ms
Time to First Token · GPT-5.5 (xhigh)
0ms
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) vs GPT-5.5 (xhigh): The Ultimate Performance & Pricing Comparison
Deep dive into reasoning, benchmarks, and latency insights.
The Final Verdict in the DeepSeek V4 Pro 0813 (Reasoning, Max Effort) vs GPT-5.5 (xhigh) 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.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort)GPT-5.5 (xhigh)
6.0
Reasoning6.0
7.0
Coding7.0
4.0
Multimodal5.0
7.0
Long Context7.0
$0.544
Blended Price / 1M tokens$11.25
—
P95 Latency—
69.333
Tokens per second0
Machine-readable comparison data
| Model | Metric | Value | Unit | Source / snapshot |
|---|---|---|---|---|
| DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5.5 (xhigh) | Reasoning | 6.0 | benchmark or capability score | Artificial Analysis · current catalog |
| DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | Coding | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5.5 (xhigh) | Coding | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | Multimodal | 4.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5.5 (xhigh) | Multimodal | 5.0 | benchmark or capability score | Artificial Analysis · current catalog |
| DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | Long Context | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| GPT-5.5 (xhigh) | Long Context | 7.0 | benchmark or capability score | Artificial Analysis · current catalog |
| DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | Blended Price / 1M tokens | $0.544 | USD per 1M tokens | Artificial Analysis · current catalog |
| GPT-5.5 (xhigh) | Blended Price / 1M tokens | $11.25 | USD per 1M tokens | Artificial Analysis · current catalog |
| DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| GPT-5.5 (xhigh) | P95 Latency | — | milliseconds | Artificial Analysis · current catalog |
| DeepSeek V4 Pro 0813 (Reasoning, Max Effort) | Tokens per second | 69.333 | tokens per second | Artificial Analysis · current catalog |
| GPT-5.5 (xhigh) | Tokens per second | 0 | 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 `DeepSeek V4 Pro 0813 (Reasoning, Max Effort)` vs `GPT-5.5 (xhigh)`.
DeepSeek V4 Pro 0813 (Reasoning, Max Effort)GPT-5.5 (xhigh)
Benchmark Breakdown
This grouped bar chart provides a side-by-side comparison for each benchmark metric.
68.874.9
ARTIFICIAL ANALYSIS CODING53.256.3
ARTIFICIAL ANALYSIS INTELLIGENCEDeepSeek V4 Pro 0813 (Reasoning, Max Effort)GPT-5.5 (xhigh)
Speed & Latency
Lower time to first token is better; higher tokens per second is better.
Tokens per Second · DeepSeek V4 Pro 0813 (Reasoning, Max Effort)
69.333
Tokens per Second · GPT-5.5 (xhigh)
0
The Economics of DeepSeek V4 Pro 0813 (Reasoning, Max Effort) vs GPT-5.5 (xhigh)
Pricing Breakdown
Compare input and output pricing in USD per 1M tokens.
$0.435$5
Input Pricing$0.87$30
Output PricingDeepSeek V4 Pro 0813 (Reasoning, Max Effort)GPT-5.5 (xhigh)
Real-World Cost Scenario
Per run: 1M input tokens + 250k output tokensDeepSeek V4 Pro 0813 (Reasoning, Max Effort)$0.652
GPT-5.5 (xhigh)$12.5
DeepSeek V4 Pro 0813 (Reasoning, Max Effort) costs $11.848 less per run
Your Questions about the DeepSeek V4 Pro 0813 (Reasoning, Max Effort) vs GPT-5.5 (xhigh) Comparison
Is `DeepSeek V4 Pro 0813 (Reasoning, Max Effort)` a direct replacement for `GPT-5.5 (xhigh)`?
The current DeepSeek V4 Pro 0813 (Reasoning, Max Effort) vs GPT-5.5 (xhigh) 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 `DeepSeek V4 Pro 0813 (Reasoning, Max Effort) vs GPT-5.5 (xhigh)` debate?
The benchmark data in our DeepSeek V4 Pro 0813 (Reasoning, Max Effort) vs GPT-5.5 (xhigh) comparison shows GPT-5.5 (xhigh) has a clear advantage, scoring 74.9 on LiveCodeBench versus 68.8.
How was this `DeepSeek V4 Pro 0813 (Reasoning, Max Effort) vs GPT-5.5 (xhigh)` comparison conducted?
Our DeepSeek V4 Pro 0813 (Reasoning, Max Effort) vs GPT-5.5 (xhigh) 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.