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DeepSeek-V4-Pro-0813 vs Gemini 3.5 Flash Cyber

DeepSeek-V4-Pro-0813 and Gemini 3.5 Flash Cyber are closely matched at 52.5 and 38.8 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Pro-0813 and Gemini 3.5 Flash Cyber are closely matched on the overall LLM Stats Score at 52.5 and 38.8.

In the 1 individual benchmarks reported for both models, DeepSeek-V4-Pro-0813 wins 1; this is a narrower head-to-head signal than the composite indexes.

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 1 of 1 exact shared results
  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini 3.5 Flash Cyber

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek-V4-Pro-0813
DeepSeek
Gemini 3.5 Flash Cyber
Google
Core performance indexes
LLM Stats Score
52.5
#10
38.8
#61
Coding
41.2
#11
31.9
#38
Agents
37.8
#9
27.2
#39
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.43 / M
— / M
Output price
$0.87 / M
— / M
Context window
1,048,576
—

Individual benchmarks

12 reported for DeepSeek-V4-Pro-0813 · 1 for Gemini 3.5 Flash Cyber

1 shared

DeepSeek-V4-Pro-0813 outperforms in 1 benchmarks (CyberGym), while Gemini 3.5 Flash Cyber is better at 0 benchmarks.

DeepSeek-V4-Pro-0813 significantly outperforms across most benchmarks.

Sat Sep 05 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-0813 specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-0813 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Pro-0813
Input1,048,576 tokens
Output393,216 tokens
Google
Gemini 3.5 Flash Cyber
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-0813 is licensed under MIT, while Gemini 3.5 Flash Cyber uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V4-Pro-0813

MIT

Open weights

Gemini 3.5 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Gemini 3.5 Flash Cyber was released on 2026-07-21.

DeepSeek-V4-Pro-0813 is 1 month newer than Gemini 3.5 Flash Cyber.

DeepSeek-V4-Pro-0813

Aug 13, 2026

3 weeks ago

3w newer
Gemini 3.5 Flash Cyber

Jul 21, 2026

1 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Pro-0813 and Gemini 3.5 Flash Cyber side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-0813
✓ Preferred
Gemini 3.5 Flash Cyber
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-0813 vs Gemini 3.5 Flash Cyber.

Which is better, DeepSeek-V4-Pro-0813 or Gemini 3.5 Flash Cyber?

DeepSeek-V4-Pro-0813 and Gemini 3.5 Flash Cyber are closely matched on the LLM Stats Score at 52.5 and 38.8. DeepSeek-V4-Pro-0813 is made by DeepSeek and Gemini 3.5 Flash Cyber is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Pro-0813 compare to Gemini 3.5 Flash Cyber in benchmarks?

DeepSeek-V4-Pro-0813 scores Terminal-Bench 2.1: 87.9%, CyberGym: 83.3%, Toolathlon: 74.1%, DSBench-FullStack: 71.1%, DSBench-Hard: 67.2%. Gemini 3.5 Flash Cyber scores CyberGym: 83.2%.

What are the context window sizes for DeepSeek-V4-Pro-0813 and Gemini 3.5 Flash Cyber?

DeepSeek-V4-Pro-0813 supports 1.0M tokens and Gemini 3.5 Flash Cyber supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Pro-0813 and Gemini 3.5 Flash Cyber?

Key differences include LLM Stats Score (52.5 vs 38.8), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-0813 and Gemini 3.5 Flash Cyber?

DeepSeek-V4-Pro-0813 is developed by DeepSeek and Gemini 3.5 Flash Cyber is developed by Google.

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