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DeepSeek-V4-Pro-Max vs Gemini 3.8 Flash Cyber

DeepSeek-V4-Pro-Max and Gemini 3.8 Flash Cyber are closely matched at 43.5 and 42.4 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4-Pro-Max and Gemini 3.8 Flash Cyber are closely matched on the overall LLM Stats Score at 43.5 and 42.4.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Pro-Max

  • you need open weights you can self-host or fine-tune

Choose Gemini 3.8 Flash Cyber

  • your work emphasizes agents — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-V4-Pro-Max
DeepSeek
Gemini 3.8 Flash Cyber
Google
Core performance indexes
LLM Stats Score
43.5
#37
42.4
#46
Coding
32.2
#36
35.6
#25
Agents
23.7
#51
31.2
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
$1.60 / M
— / M
Output price
$3.20 / M
— / M
Context window
1,048,576
—

Individual benchmarks

22 reported for DeepSeek-V4-Pro-Max · 4 for Gemini 3.8 Flash Cyber

No common benchmarks found

DeepSeek-V4-Pro-Max and Gemini 3.8 Flash Cyberdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Pro-Max specifies input context (1,048,576 tokens). Only DeepSeek-V4-Pro-Max specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V4-Pro-Max
Input1,048,576 tokens
Output131,072 tokens
Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Sat Sep 05 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V4-Pro-Max is licensed under MIT, while Gemini 3.8 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-Max

MIT

Open weights

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4-Pro-Max was released on 2026-04-23, while Gemini 3.8 Flash Cyber was released on 2026-09-02.

Gemini 3.8 Flash Cyber is 4 months newer than DeepSeek-V4-Pro-Max.

DeepSeek-V4-Pro-Max

Apr 23, 2026

4 months ago

Gemini 3.8 Flash Cyber

Sep 2, 2026

3 days ago

4mo newer

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-Max and Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

DeepSeek-V4-Pro-Max
✓ Preferred
Gemini 3.8 Flash Cyber
Open in Playground

FAQ

Common questions about DeepSeek-V4-Pro-Max vs Gemini 3.8 Flash Cyber.

Which is better, DeepSeek-V4-Pro-Max or Gemini 3.8 Flash Cyber?

DeepSeek-V4-Pro-Max and Gemini 3.8 Flash Cyber are closely matched on the LLM Stats Score at 43.5 and 42.4. DeepSeek-V4-Pro-Max is made by DeepSeek and Gemini 3.8 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-Max compare to Gemini 3.8 Flash Cyber in benchmarks?

DeepSeek-V4-Pro-Max scores CodeForces: 100.0%, HMMT Feb 26: 95.2%, LiveCodeBench: 93.5%, MathArena Apex: 90.2%, GPQA: 90.1%. Gemini 3.8 Flash Cyber scores Gray Swan IPI Benchmark: 94.0%, CyberGym: 86.2%, Google Real-world Vulnerability Discovery: 71.0%, CWE-Bench: 47.2%.

What are the context window sizes for DeepSeek-V4-Pro-Max and Gemini 3.8 Flash Cyber?

DeepSeek-V4-Pro-Max supports 1.0M tokens and Gemini 3.8 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-Max and Gemini 3.8 Flash Cyber?

Key differences include LLM Stats Score (43.5 vs 42.4), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Pro-Max and Gemini 3.8 Flash Cyber?

DeepSeek-V4-Pro-Max is developed by DeepSeek and Gemini 3.8 Flash Cyber is developed by Google.

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