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DeepSeek-V4.1-Flash-1017 vs Gemini 3.8 Flash Cyber

DeepSeek-V4.1-Flash-1017 and Gemini 3.8 Flash Cyber are closely matched at 51.0 and 39.2 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 and Gemini 3.8 Flash Cyber are closely matched on the overall LLM Stats Score at 51.0 and 39.2.

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

Choose DeepSeek-V4.1-Flash-1017

  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose Gemini 3.8 Flash Cyber

  • you are already invested in the Google ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
Gemini 3.8 Flash Cyber
Google
Core performance indexes
LLM Stats Score
51.0
#15
39.2
#74
Coding
39.1
#15
31.7
#52
Agents
38.6
#9
28.5
#54
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 4 for Gemini 3.8 Flash Cyber

No common benchmarks found

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017

MIT

Open weights

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while Gemini 3.8 Flash Cyber was released on 2026-09-02.

DeepSeek-V4.1-Flash-1017 is 2 months newer than Gemini 3.8 Flash Cyber.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

3 days ago

1mo newer
Gemini 3.8 Flash Cyber

Sep 2, 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?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
Gemini 3.8 Flash Cyber
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs Gemini 3.8 Flash Cyber.

Which is better, DeepSeek-V4.1-Flash-1017 or Gemini 3.8 Flash Cyber?

DeepSeek-V4.1-Flash-1017 and Gemini 3.8 Flash Cyber are closely matched on the LLM Stats Score at 51.0 and 39.2. DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017 compare to Gemini 3.8 Flash Cyber in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. 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-V4.1-Flash-1017 and Gemini 3.8 Flash Cyber?

DeepSeek-V4.1-Flash-1017 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-V4.1-Flash-1017 and Gemini 3.8 Flash Cyber?

Key differences include LLM Stats Score (51.0 vs 39.2), multimodal support (yes vs no), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and Gemini 3.8 Flash Cyber?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and Gemini 3.8 Flash Cyber is developed by Google.

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