Gemini 3.8 Flash Cyber vs Kimi K3: Specs & Benchmark Comparison

Gemini 3.8 Flash Cyber is developed by Google, while Kimi K3 comes from Moonshot AI. Kimi K3 was released in July 2026, and Gemini 3.8 Flash Cyber followed 2 months later in September 2026. Kimi K3 has a published size of about 2.8 trillion parameters; Google has not disclosed the parameter count of Gemini 3.8 Flash Cyber.

We have 4 benchmark results for Gemini 3.8 Flash Cyber and 31 benchmark results for Kimi K3, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Kimi K3 is available through an API at $3 per million input tokens with a 1M-token context window. We do not track a hosted API for Gemini 3.8 Flash Cyber, so pricing and context cannot be compared directly.

CharacteristicGemini 3.8 Flash CyberKimi K3
CompanyGoogleMoonshot AI
Release DateSeptember 2, 2026July 16, 2026
Parameters—2.8T
MultimodalNoYes
Context (input)—1.0M
Context (output)—1.0M
Input Price / 1M—$3.00
Output Price / 1M—$15.00
Average Score74.6%67.8%

Verdict

Gemini 3.8 Flash Cyber leads in 1 out of 2 comparison categories.

Overall Performance

Both models show comparable average scores: Gemini 3.8 Flash Cyber — 0.7, Kimi K3 — 0.7.

Recency

Gemini 3.8 Flash Cyber is newer: released 9/2/2026 vs 7/16/2026.

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Frequently Asked Questions

Which is better for coding — Gemini 3.8 Flash Cyber or Kimi K3?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Gemini 3.8 Flash Cyber or Kimi K3?
API pricing data is available on the individual model pages.
Which has a larger context window — Gemini 3.8 Flash Cyber or Kimi K3?
Context window data is available on the individual model pages.

The Gemini 3.8 Flash Cyber and Kimi K3 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 3.8 Flash Cyber or Kimi K3 page. See also the complete list of AI model comparisons.