Gemini 3.1 Flash Lite vs Gemini 3.8 Flash

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 3.1 Flash LiteVerified Aug 29, 2026
Google DeepMind · activeGemini 3.8 FlashVerified Sep 2, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.1 Flash-LiteGemini 3.8 Flash
DeveloperGoogle DeepMindGoogle DeepMind
FamilyGemini 3Gemini 3
ModelGemini 3.1 Flash-LiteGemini 3.8 Flash
VersionGemini 3.1 Flash-LiteGemini 3.8 Flash
Lifecycleactiveactive
ReleasedUnknown2026-09-02
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText, Image, Video, Audio, Document
Output modalitiesTextText
Context window1,049K1,049K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoning, toolschat, code_execution, computer_use, generation, reasoning, structured_outputs, tools

13 comparable fields · 3 material differences · Pair passes the primary-source comparison gate

Gemini 3.1 Flash Lite Capabilities

chatgenerationreasoningtools
Input price$0.25
Output price$1.50
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-flash-lite

Gemini 3.8 Flash Capabilities

chatcode executioncomputer usegenerationreasoningstructured outputstools
Input price$0.75
Output price$3.75
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.8-flash

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemini 3.1 Flash Lite vs Gemini 3.8 Flash FAQs

Is Gemini 3.1 Flash Lite or Gemini 3.8 Flash better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Flash Lite and Gemini 3.8 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?+

Gemini 3.1 Flash Lite is $0.25 and Gemini 3.8 Flash is $0.75 per million tokens, so Gemini 3.1 Flash Lite is cheaper on this metric. Gemini 3.1 Flash Lite is $1.50 and Gemini 3.8 Flash is $3.75 per million tokens, so Gemini 3.1 Flash Lite is cheaper on this metric.

Which has a larger context window, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?+

Neither model has a larger sourced context window in this comparison. Gemini 3.1 Flash Lite is 1,049K and Gemini 3.8 Flash is 1,049K.

Which performs better in benchmarks, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?+

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

Can Gemini 3.1 Flash Lite or Gemini 3.8 Flash be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Gemini 3.1 Flash Lite is not marked open weight; Gemini 3.8 Flash is not marked open weight.

Can Gemini 3.1 Flash Lite and Gemini 3.8 Flash understand images?+

Gemini 3.1 Flash Lite is documented with image input; Gemini 3.8 Flash is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?+

Neither has a larger sourced maximum output. Gemini 3.1 Flash Lite is 66K and Gemini 3.8 Flash is 66K.

Do Gemini 3.1 Flash Lite and Gemini 3.8 Flash support reasoning and tool use?+

Gemini 3.1 Flash Lite: reasoning, tool calling, and image input. Gemini 3.8 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?+

Gemini 3.1 Flash Lite has 2 sourced provider routes; Gemini 3.8 Flash has 2, a tie.

Which offers better value, Gemini 3.1 Flash Lite or Gemini 3.8 Flash?+

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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