DeepSeek-V4-Pro-0813 vs Gemini 1.5 Pro
Comparing DeepSeek-V4-Pro-0813 and Gemini 1.5 Pro across benchmarks, pricing, and capabilities.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and Gemini 1.5 Pro trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-V4-Pro-0813 is roughly 8.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- cost matters — it's about 8.0x cheaper per token
- you want the most recent training data — it shipped Aug 2026
- you need open weights you can self-host or fine-tune
Choose Gemini 1.5 Pro
- you process long inputs — it offers a 2,097,152 token context window
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 and Gemini 1.5 Prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 5.7x cheaper than Gemini 1.5 Pro ($2.50/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 11.5x cheaper than Gemini 1.5 Pro ($10.00/1M tokens).
In conclusion, Gemini 1.5 Pro is more expensive than DeepSeek-V4-Pro-0813.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Pro accepts 2,097,152 input tokens compared to DeepSeek-V4-Pro-0813's 1,048,576 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Pro supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
Gemini 1.5 Pro
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Gemini 1.5 Pro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Gemini 1.5 Pro was released on 2024-05-01.
DeepSeek-V4-Pro-0813 is 28 months newer than Gemini 1.5 Pro.
Aug 13, 2026
1 weeks ago
2.3yr newerMay 1, 2024
2.3 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while DeepSeek-V4-Pro-0813's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.
—
Nov 2023
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Gemini 1.5 Pro is available from Google.
DeepSeek-V4-Pro-0813
Gemini 1.5 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Gemini 1.5 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Gemini 1.5 Pro.