DeepSeek-V4-Pro-0813 vs Gemini 3.7 Flash
DeepSeek-V4-Pro-0813 and Gemini 3.7 Flash are closely matched at 52.5 and 49.3 on the LLM Stats Score. DeepSeek-V4-Pro-0813 is 2.8x cheaper per token.
DeepSeek · Google · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and Gemini 3.7 Flash are closely matched on the overall LLM Stats Score at 52.5 and 49.3.
In the 3 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Pro-0813 is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- cost matters — it's about 2.8x cheaper per token
- you need open weights you can self-host or fine-tune
Choose Gemini 3.7 Flash
- you want predictable pricing at $0.75/M input and $3.75/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for DeepSeek-V4-Pro-0813 · 18 for Gemini 3.7 Flash
DeepSeek-V4-Pro-0813 outperforms in 2 benchmarks (AutomationBench, Terminal-Bench 2.1), while Gemini 3.7 Flash is better at 1 benchmark (Agents' Last Exam).
DeepSeek-V4-Pro-0813 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 1.7x cheaper than Gemini 3.7 Flash ($0.75/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 4.3x cheaper than Gemini 3.7 Flash ($3.75/1M tokens).
In conclusion, Gemini 3.7 Flash 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
Both models have the same input context window of 1,048,576 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Gemini 3.7 Flash is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.7 Flash supports multimodal inputs, whereas DeepSeek-V4-Pro-0813 does not.
Gemini 3.7 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Pro-0813
Gemini 3.7 Flash
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 is licensed under MIT, while Gemini 3.7 Flash 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
Both models were released on 2026-08-13.
They likely represent similar generations of model development.
Aug 13, 2026
3 weeks ago
Aug 13, 2026
3 weeks ago
Knowledge Cutoff
When training data ends
Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while DeepSeek-V4-Pro-0813's cutoff date is not specified.
We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without DeepSeek-V4-Pro-0813's cutoff date.
—
Mar 2026
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Gemini 3.7 Flash is available from Google.
DeepSeek-V4-Pro-0813
Gemini 3.7 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Gemini 3.7 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Gemini 3.7 Flash.