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

DeepSeek-V4.1-Flash and Gemini 3.8 Flash Cyber are closely matched at 51.8 and 41.1 on the LLM Stats Score.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash and Gemini 3.8 Flash Cyber are closely matched on the overall LLM Stats Score at 51.8 and 41.1.

In the 1 individual benchmarks reported for both models, DeepSeek-V4.1-Flash 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-V4.1-Flash

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 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
DeepSeek
Gemini 3.8 Flash Cyber
Google
Core performance indexes
LLM Stats Score
51.8
#12
41.1
#52
Coding
44.4
#5
35.0
#30
Agents
41.3
#4
31.1
#31
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000
—

Individual benchmarks

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

1 shared

DeepSeek-V4.1-Flash outperforms in 1 benchmarks (CyberGym), while Gemini 3.8 Flash Cyber is better at 0 benchmarks.

DeepSeek-V4.1-Flash significantly outperforms across most benchmarks.

Thu Sep 10 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-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Thu Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash 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

MIT

Open weights

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

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

DeepSeek-V4.1-Flash is 0 month newer than Gemini 3.8 Flash Cyber.

DeepSeek-V4.1-Flash

Sep 10, 2026

0 days ago

1w newer
Gemini 3.8 Flash Cyber

Sep 2, 2026

1 weeks 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-V4.1-Flash and Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

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

FAQ

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

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

DeepSeek-V4.1-Flash and Gemini 3.8 Flash Cyber are closely matched on the LLM Stats Score at 51.8 and 41.1. DeepSeek-V4.1-Flash 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 compare to Gemini 3.8 Flash Cyber in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. 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-V4.1-Flash and Gemini 3.8 Flash Cyber?

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

Key differences include LLM Stats Score (51.8 vs 41.1), 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 and Gemini 3.8 Flash Cyber?

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

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