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Gemini 3.8 Flash Cyber vs Sakana Namazu

Gemini 3.8 Flash Cyber and Sakana Namazu are closely matched at 40.3 and 42.1 on the LLM Stats Score.

Google · Sakana AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and Sakana Namazu are closely matched on the overall LLM Stats Score at 40.3 and 42.1.

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

Choose Gemini 3.8 Flash Cyber

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

Choose Sakana Namazu

  • you want predictable pricing at $0.95/M input and $4.00/M output

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
Sakana Namazu
Sakana AI
Core performance indexes
LLM Stats Score
40.3
#55
42.1
#49
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.95 / M
Output price
— / M
$4.00 / M
Context window
—
256,000

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 3 for Sakana Namazu

No common benchmarks found

Gemini 3.8 Flash Cyber and Sakana Namazudon'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 Sakana Namazu specifies input context (256,000 tokens). Only Sakana Namazu specifies output context (256,000 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Sakana AI
Sakana Namazu
Input256,000 tokens
Output256,000 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Sakana Namazu supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Sakana Namazu can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.8 Flash Cyber

Text
Images
Audio
Video

Sakana Namazu

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Sakana Namazu

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Sakana Namazu was released on 2026-08-03.

Gemini 3.8 Flash Cyber is 1 month newer than Sakana Namazu.

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 weeks ago

1mo newer
Sakana Namazu

Aug 3, 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.8 Flash Cyber and Sakana Namazu side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Sakana Namazu
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Sakana Namazu.

Which is better, Gemini 3.8 Flash Cyber or Sakana Namazu?

Gemini 3.8 Flash Cyber and Sakana Namazu are closely matched on the LLM Stats Score at 40.3 and 42.1. Gemini 3.8 Flash Cyber is made by Google and Sakana Namazu is made by Sakana AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.8 Flash Cyber compare to Sakana Namazu 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%. Sakana Namazu scores AIME 2026: 96.7%, LiveCodeBench v6: 90.3%, MMLU-Pro: 90.3%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Sakana Namazu?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Sakana Namazu supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.8 Flash Cyber and Sakana Namazu?

Key differences include LLM Stats Score (40.3 vs 42.1), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Sakana Namazu?

Gemini 3.8 Flash Cyber is developed by Google and Sakana Namazu is developed by Sakana AI.

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