Gemini 3.5 Flash-Lite vs Gemini 3.8 Flash Cyber

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Google DeepMind · activeGemini 3.5 Flash-LiteVerified Aug 29, 2026
Google DeepMind · activeGemini 3.8 Flash CyberVerified Sep 2, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.5 Flash-LiteGemini 3.8 Flash Cyber
DeveloperGoogle DeepMindGoogle DeepMind
FamilyGemini 3Gemini 3
ModelGemini 3.5 Flash-LiteGemini 3.8 Flash Cyber
VersionGemini 3.5 Flash-LiteGemini 3.8 Flash Cyber
Lifecycleactiveactive
ReleasedUnknown2026-09-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextText
Context window1,048,576Unknown
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesNo
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitieschat, generation, reasoning, toolsautomated-patching, cybersecurity, reasoning, vulnerability-detection

11 comparable fields · 5 material differences · Pair passes the primary-source comparison gate

Gemini 3.5 Flash-Lite Capabilities

chatgenerationreasoningtools
Input price$0.30
Output price$2.50
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.5-flash-lite

Gemini 3.8 Flash Cyber Capabilities

automated-patchingcybersecurityreasoningvulnerability-detection
Input price
Output price
Serving providers0
Canonical IDgoogle-deepmind/gemini-3.8-flash-cyber

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemini 3.5 Flash-Lite vs Gemini 3.8 Flash Cyber FAQs

Is Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash-Lite and Gemini 3.8 Flash Cyber, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber?+

Only Gemini 3.5 Flash-Lite has a directly sourced input price: $0.30 per million tokens. Only Gemini 3.5 Flash-Lite has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber?+

Neither model has a larger sourced context window in this comparison. Gemini 3.5 Flash-Lite is 1,048,576 and Gemini 3.8 Flash Cyber is —.

Which performs better in benchmarks, Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.5 Flash-Lite is not marked open weight; Gemini 3.8 Flash Cyber is not marked open weight.

Can Gemini 3.5 Flash-Lite and Gemini 3.8 Flash Cyber understand images?+

Gemini 3.5 Flash-Lite is documented with image input; Gemini 3.8 Flash Cyber is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber?+

Neither has a larger sourced maximum output. Gemini 3.5 Flash-Lite is 65,536 and Gemini 3.8 Flash Cyber is —.

Do Gemini 3.5 Flash-Lite and Gemini 3.8 Flash Cyber support reasoning and tool use?+

Gemini 3.5 Flash-Lite: reasoning, tool calling, and image input. Gemini 3.8 Flash Cyber: reasoning. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber?+

Gemini 3.5 Flash-Lite has 2 sourced provider routes; Gemini 3.8 Flash Cyber has 0, so Gemini 3.5 Flash-Lite has broader tracked availability.

Which offers better value, Gemini 3.5 Flash-Lite or Gemini 3.8 Flash Cyber?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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