DeepSeek V4 Pro vs o4 Mini High
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V4 Pro and o4 Mini High.
DeepSeek V4 Pro
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
o4 Mini High
OpenAI o4-mini-high is the same model as [o4-mini](/openai/o4-mini) with reasoning_effort set to high. OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining...
Technical Specifications
| Specification | DeepSeek V4 Pro | o4 Mini High |
|---|---|---|
| Provider | DeepSeek | OpenAI |
| Context Window | 1,048,576 tokens | 200,000 tokens |
| Agent Suitability | 94/100 | N/A |
| Time to First Token (TTFT) | 280 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-04-24 | 2025-04-16 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Pro
$0.43
o4 Mini High
$1.10
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
o4 Mini High
$4.40
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
DeepSeek V4 Pro Quirks & Gotchas
- ▸MoE architecture — cold-start latency on first request, use keep-alive
- ▸Best cost-performance ratio of any frontier model — strong tool calling for agentic use
o4 Mini High Quirks & Gotchas
No developer gotchas reported.