Gemini 3.5 Flash-Lite vs Gemini 3.8 Flash Cyber: Specs & Benchmark Comparison

Gemini 3.5 Flash-Lite and Gemini 3.8 Flash Cyber both come from Google, Gemini 3.5 Flash-Lite was released in July 2026, and Gemini 3.8 Flash Cyber followed 2 months later in September 2026.

We have 6 benchmark results for Gemini 3.5 Flash-Lite and 4 benchmark results for Gemini 3.8 Flash Cyber, but they were measured on different benchmarks, so there is no like-for-like scoreboard.

Gemini 3.5 Flash-Lite is available through an API at $0.30 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 3.5 Flash-LiteGemini 3.8 Flash Cyber
CompanyGoogleGoogle
Release DateJuly 21, 2026September 2, 2026
Parameters——
MultimodalYesNo
Context (input)1.0M—
Context (output)66K—
Input Price / 1M$0.30—
Output Price / 1M$2.50—
Average Score53.2%74.6%

Verdict

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

Overall Performance

Both models show comparable average scores: Gemini 3.5 Flash-Lite — 0.5, Gemini 3.8 Flash Cyber — 0.7.

Recency

Gemini 3.8 Flash Cyber is newer: released 9/2/2026 vs 7/21/2026.

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Frequently Asked Questions

Which is better for coding — Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber?
API pricing data is available on the individual model pages.
Which has a larger context window — Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber?
Context window data is available on the individual model pages.

The Gemini 3.5 Flash-Lite and Gemini 3.8 Flash Cyber comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber page. See also the complete list of AI model comparisons.