Gemini 3.1 Flash Lite vs Bonsai Image Ternary 4B

At a Glance

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Gemini 3.1 Flash LiteGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.25Google AI · Aug 29, 2026Not reported
Output priceFrom · USD / 1M tokens$1.50Google AI · Aug 29, 2026Not reported
Context windowMaximum documented tokens1,049KNot reported
Model facts checkedAug 29, 2026View model evidence →Sep 18, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldGemini 3.1 Flash-LiteBonsai Image Ternary 4B
DeveloperGoogle DeepMindPrismML
FamilyGemini 3Bonsai Image 4b
ModelGemini 3.1 Flash-LiteBonsai Image Ternary 4B
VersionGemini 3.1 Flash-LiteBonsai Image Ternary 4B
Lifecycleactiveactive
ReleasedUnknown2026-05-21
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextImage
Context window1,049KUnknown
Total parametersUnknown4B
Active parametersUnknownUnknown
LicenseUnknownapache-2.0
Open weightsNoYes
API availableYesNo
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitieschat, generation, reasoning, toolsgeneration
Base modelUnknownFLUX.2 Klein 4B
Default resolutionUnknown512 × 512
Transformer sizeUnknown1.21 GB
Weight formatUnknownTernary weights with FP16 group scales

Gemini 3.1 Flash Lite Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/gemini-3.1-flash-lite

Bonsai Image Ternary 4B Capabilities

generation
Serving providers0
Canonical IDprism-ml/Bonsai-Image-Ternary-4B

Primary Evidence

Sources and Freshness

Questions

Gemini 3.1 Flash Lite vs Bonsai Image Ternary 4B FAQs

Is Gemini 3.1 Flash Lite or Bonsai Image Ternary 4B better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Flash Lite and Bonsai Image Ternary 4B, 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 Bonsai Image Ternary 4B?+

Only Gemini 3.1 Flash Lite has a directly sourced input price: $0.25 per million tokens. Only Gemini 3.1 Flash Lite has a directly sourced output price: $1.50 per million tokens.

Which has a larger context window, Gemini 3.1 Flash Lite or Bonsai Image Ternary 4B?+

Neither model has a larger sourced context window in this comparison. Gemini 3.1 Flash Lite is 1,049K and Bonsai Image Ternary 4B is —.

Which performs better in benchmarks, Gemini 3.1 Flash Lite or Bonsai Image Ternary 4B?+

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 Bonsai Image Ternary 4B be self-hosted?+

Bonsai Image Ternary 4B is the only model in this pair currently marked as self-hostable. Gemini 3.1 Flash Lite is not marked open weight; Bonsai Image Ternary 4B is open weight.

Can Gemini 3.1 Flash Lite and Bonsai Image Ternary 4B understand images?+

Gemini 3.1 Flash Lite is documented with image input; Bonsai Image Ternary 4B is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Gemini 3.1 Flash Lite or Bonsai Image Ternary 4B?+

Neither has a larger sourced maximum output. Gemini 3.1 Flash Lite is 66K and Bonsai Image Ternary 4B is —.

Do Gemini 3.1 Flash Lite and Bonsai Image Ternary 4B support reasoning and tool use?+

Gemini 3.1 Flash Lite: reasoning, tool calling, and image input. Bonsai Image Ternary 4B: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.1 Flash Lite or Bonsai Image Ternary 4B?+

Gemini 3.1 Flash Lite has 2 sourced provider routes; Bonsai Image Ternary 4B has 0, so Gemini 3.1 Flash Lite has broader tracked availability.

Which offers better value, Gemini 3.1 Flash Lite or Bonsai Image Ternary 4B?+

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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