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Gemini 3.8 Flash Cyber vs Kimi K2.8 Preview

Comparing Gemini 3.8 Flash Cyber and Kimi K2.8 Preview across benchmarks, pricing, and capabilities.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and Kimi K2.8 Preview 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 Gemini 3.8 Flash Cyber

  • you are already invested in the Google ecosystem

Choose Kimi K2.8 Preview

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

At a glance

The differences that matter most.

Benchmark wins
Input price
— / M
— / M
Output price
— / M
— / M
Context window
1,048,576

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 0 for Kimi K2.8 Preview

No common benchmarks found

Gemini 3.8 Flash Cyber and Kimi K2.8 Previewdon'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 Kimi K2.8 Preview specifies input context (1,048,576 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Moonshot AI
Kimi K2.8 Preview
Input1,048,576 tokens
Output- tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.8 Preview supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Kimi K2.8 Preview 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

Kimi K2.8 Preview

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

Kimi K2.8 Preview

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Kimi K2.8 Preview was released on 2026-09-11.

Kimi K2.8 Preview is 0 month newer than Gemini 3.8 Flash Cyber.

Gemini 3.8 Flash Cyber

Sep 2, 2026

1 weeks ago

Kimi K2.8 Preview

Sep 11, 2026

3 days ago

1w 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 Gemini 3.8 Flash Cyber and Kimi K2.8 Preview side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Kimi K2.8 Preview
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Kimi K2.8 Preview.

Which is better, Gemini 3.8 Flash Cyber or Kimi K2.8 Preview?

Gemini 3.8 Flash Cyber (Google) and Kimi K2.8 Preview (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.8 Flash Cyber compare to Kimi K2.8 Preview 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 Gemini 3.8 Flash Cyber and Kimi K2.8 Preview?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Kimi K2.8 Preview supports 1.0M 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 Kimi K2.8 Preview?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Kimi K2.8 Preview?

Gemini 3.8 Flash Cyber is developed by Google and Kimi K2.8 Preview is developed by Moonshot AI.