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,...
Model details →DeepSeek: DeepSeek V4 Pro 0423 vs Google: Gemini 2.5 Pro (batch)
Google: Gemini 2.5 Pro (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V4 Pro 0423 | Google: Gemini 2.5 Pro (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.0M | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.96 | $0.63 | 🏆 Google: Gemini 2.5 Pro (batch) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.91 | $5.00 | 🏆 DeepSeek: DeepSeek V4 Pro 0423 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Google: Gemini 2.5 Pro (batch) |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: DeepSeek V4 Pro 0423 better than Google: Gemini 2.5 Pro (batch)?
Google: Gemini 2.5 Pro (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V4 Pro 0423 and Google: Gemini 2.5 Pro (batch)?
Input: $0.96 vs $0.63 per 1M tokens. Output: $1.91 vs $5.00 per 1M tokens.
What context windows do DeepSeek: DeepSeek V4 Pro 0423 and Google: Gemini 2.5 Pro (batch) support?
DeepSeek: DeepSeek V4 Pro 0423 supports up to 1.0M tokens. Google: Gemini 2.5 Pro (batch) supports up to 1.0M tokens.
Do both DeepSeek: DeepSeek V4 Pro 0423 and Google: Gemini 2.5 Pro (batch) support tool calling?
DeepSeek: DeepSeek V4 Pro 0423: yes. Google: Gemini 2.5 Pro (batch): yes.