DeepSeek V4 Pro vs o3 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 o3 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,...
o3 Mini High
OpenAI o3-mini-high is the same model as [o3-mini](/openai/o3-mini) with reasoning_effort set to high. o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and...
Technical Specifications
| Specification | DeepSeek V4 Pro | o3 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 | 2025-02-12 |
API Pricing Comparison
Input Price per Million Tokens
DeepSeek V4 Pro
$0.43
o3 Mini High
$1.10
Output Price per Million Tokens
DeepSeek V4 Pro
$0.87
o3 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
- โธMoE architecture โ cold-start latency on first request, use keep-alive
- โธBest cost-performance ratio of any frontier model โ strong tool calling for agentic use
o3 Mini High Quirks & Gotchas
No developer gotchas reported.