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Gemini 3.8 Flash Cyber vs Kimi K2.7 Code

Gemini 3.8 Flash Cyber and Kimi K2.7 Code are closely matched at 40.3 and 39.4 on the LLM Stats Score.

Google · Moonshot AI · Updated for 2026

Which is better?

Gemini 3.8 Flash Cyber and Kimi K2.7 Code are closely matched on the overall LLM Stats Score at 40.3 and 39.4.

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 Kimi K2.7 Code

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

At a glance

The differences that matter most.

Gemini 3.8 Flash Cyber
Google
Kimi K2.7 Code
Moonshot AI
Core performance indexes
LLM Stats Score
40.3
#55
39.4
#59
Coding
33.1
#36
30.7
#49
Agents
29.8
#35
27.0
#46
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.68 / M
Output price
— / M
$3.40 / M
Context window
—
262,144

Individual benchmarks

4 reported for Gemini 3.8 Flash Cyber · 9 for Kimi K2.7 Code

No common benchmarks found

Gemini 3.8 Flash Cyber and Kimi K2.7 Codedon'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 K2.7 Code specifies input context (262,144 tokens). Only Kimi K2.7 Code specifies output context (262,144 tokens).

Google
Gemini 3.8 Flash Cyber
Input- tokens
Output- tokens
Moonshot AI
Kimi K2.7 Code
Input262,144 tokens
Output262,144 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.7 Code supports multimodal inputs, whereas Gemini 3.8 Flash Cyber does not.

Kimi K2.7 Code 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 K2.7 Code

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.8 Flash Cyber is licensed under a proprietary license, while Kimi K2.7 Code uses Modified MIT License.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.8 Flash Cyber

Proprietary

Closed source

Kimi K2.7 Code

Modified MIT License

Open weights

Release Timeline

When each model was launched

Gemini 3.8 Flash Cyber was released on 2026-09-02, while Kimi K2.7 Code was released on 2026-06-12.

Gemini 3.8 Flash Cyber is 3 months newer than Kimi K2.7 Code.

Gemini 3.8 Flash Cyber

Sep 2, 2026

2 weeks ago

2mo newer
Kimi K2.7 Code

Jun 12, 2026

3 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 Kimi K2.7 Code side-by-side, then vote on the output you prefer.

Gemini 3.8 Flash Cyber
✓ Preferred
Kimi K2.7 Code
Open in Playground

FAQ

Common questions about Gemini 3.8 Flash Cyber vs Kimi K2.7 Code.

Which is better, Gemini 3.8 Flash Cyber or Kimi K2.7 Code?

Gemini 3.8 Flash Cyber and Kimi K2.7 Code are closely matched on the LLM Stats Score at 40.3 and 39.4. Gemini 3.8 Flash Cyber is made by Google and Kimi K2.7 Code is made by Moonshot 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 Kimi K2.7 Code 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%. Kimi K2.7 Code scores MCP-Mark: 81.1%, MCP Atlas: 76.0%, LiveBench: 71.9%, Kimi Code Bench v2: 62.0%, Program Bench: 53.6%.

What are the context window sizes for Gemini 3.8 Flash Cyber and Kimi K2.7 Code?

Gemini 3.8 Flash Cyber supports an unknown number of tokens and Kimi K2.7 Code supports 262K 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 K2.7 Code?

Key differences include LLM Stats Score (40.3 vs 39.4), multimodal support (no vs yes), licensing (Proprietary vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.8 Flash Cyber and Kimi K2.7 Code?

Gemini 3.8 Flash Cyber is developed by Google and Kimi K2.7 Code is developed by Moonshot AI.

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