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DeepSeek-V3.2-Speciale vs Gemini 3.8 Flash Cyber

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 34.3.

DeepSeek · Google · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber leads the overall LLM Stats Score 42.4 to 34.3, ranking #46 overall.

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

Choose DeepSeek-V3.2-Speciale

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

Choose Gemini 3.8 Flash Cyber

  • overall performance matters — it scores 42.4 and ranks #46 on LLM Stats
  • your work emphasizes coding and 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-V3.2-Speciale
DeepSeek
Gemini 3.8 Flash Cyber
Google
Core performance indexes
LLM Stats Score
34.3
#87
42.4
#46
Coding
18.4
#105
35.6
#25
Agents
10.4
#105
31.2
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.28 / M
— / M
Output price
$0.42 / M
— / M
Context window
131,072
—

Individual benchmarks

8 reported for DeepSeek-V3.2-Speciale · 4 for Gemini 3.8 Flash Cyber

No common benchmarks found

DeepSeek-V3.2-Speciale 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-V3.2-Speciale specifies input context (131,072 tokens). Only DeepSeek-V3.2-Speciale specifies output context (131,072 tokens).

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Mon Sep 07 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.2-Speciale 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-V3.2-Speciale

MIT

Open weights

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while Gemini 3.8 Flash Cyber was released on 2026-09-02.

Gemini 3.8 Flash Cyber is 9 months newer than DeepSeek-V3.2-Speciale.

DeepSeek-V3.2-Speciale

Dec 1, 2025

9 months ago

Gemini 3.8 Flash Cyber

Sep 2, 2026

4 days ago

9mo 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-V3.2-Speciale and Gemini 3.8 Flash Cyber side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Speciale
✓ Preferred
Gemini 3.8 Flash Cyber
Open in Playground

FAQ

Common questions about DeepSeek-V3.2-Speciale vs Gemini 3.8 Flash Cyber.

Which is better, DeepSeek-V3.2-Speciale or Gemini 3.8 Flash Cyber?

Gemini 3.8 Flash Cyber leads the LLM Stats Score 42.4 to 34.3. DeepSeek-V3.2-Speciale 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-V3.2-Speciale compare to Gemini 3.8 Flash Cyber in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. 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-V3.2-Speciale and Gemini 3.8 Flash Cyber?

DeepSeek-V3.2-Speciale 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-V3.2-Speciale and Gemini 3.8 Flash Cyber?

Key differences include LLM Stats Score (34.3 vs 42.4), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Speciale and Gemini 3.8 Flash Cyber?

DeepSeek-V3.2-Speciale is developed by DeepSeek and Gemini 3.8 Flash Cyber is developed by Google.

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