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DeepSeek-R1 vs Gemini 3.8 Flash Cyber

Comparing DeepSeek-R1 and Gemini 3.8 Flash Cyber across benchmarks, pricing, and capabilities.

DeepSeek · Google · Updated for 2026

Which is better?

DeepSeek-R1 and Gemini 3.8 Flash Cyber trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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

Choose DeepSeek-R1

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

Choose Gemini 3.8 Flash Cyber

  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

DeepSeek-R1
DeepSeek
Gemini 3.8 Flash Cyber
Google
Benchmark wins
—
—
Input price
$0.55 / M
— / M
Output price
$2.19 / M
— / M
Context window
131,072
—

Individual benchmarks

0 reported for DeepSeek-R1 · 4 for Gemini 3.8 Flash Cyber

No common benchmarks found

DeepSeek-R1 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-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Thu Sep 03 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 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-R1

MIT

Open weights

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Gemini 3.8 Flash Cyber was released on 2026-09-02.

Gemini 3.8 Flash Cyber is 20 months newer than DeepSeek-R1.

DeepSeek-R1

Jan 20, 2025

1.6 years ago

Gemini 3.8 Flash Cyber

Sep 2, 2026

0 days ago

1.6yr 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-R1 and Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

DeepSeek-R1
✓ Preferred
Gemini 3.8 Flash Cyber
Open in Playground

FAQ

Common questions about DeepSeek-R1 vs Gemini 3.8 Flash Cyber.

Which is better, DeepSeek-R1 or Gemini 3.8 Flash Cyber?

DeepSeek-R1 (DeepSeek) and Gemini 3.8 Flash Cyber (Google) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-R1 compare to Gemini 3.8 Flash Cyber in benchmarks?

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-R1 and Gemini 3.8 Flash Cyber?

DeepSeek-R1 supports 131K 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-R1 and Gemini 3.8 Flash Cyber?

Key differences include licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1 and Gemini 3.8 Flash Cyber?

DeepSeek-R1 is developed by DeepSeek and Gemini 3.8 Flash Cyber is developed by Google.

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