Gemini 3.1 Flash Lite vs Phi-4 Mini Instruct

At a Glance

Compare
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 tokens1,049K131K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 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 →

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-LitePhi-4-mini-instruct
DeveloperGoogle DeepMindMicrosoft
FamilyGemini 3Phi 4 Mini Instruct
ModelGemini 3.1 Flash-LitePhi-4-mini-instruct
VersionGemini 3.1 Flash-LitePhi-4-mini-instruct
Lifecycleactiveactive
ReleasedUnknown2025-02-26
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextText
Context window1,049K131K
Total parametersUnknown3.8B
Active parametersUnknownUnknown
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Hugging Face (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation

Gemini 3.1 Flash Lite Capabilities

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

Phi-4 Mini Instruct Capabilities

chatgeneration
Serving providers1
Canonical IDmicrosoft/Phi-4-mini-instruct

Primary Evidence

Sources and Freshness

Questions

Gemini 3.1 Flash Lite vs Phi-4 Mini Instruct FAQs

Is Gemini 3.1 Flash Lite or Phi-4 Mini Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Flash Lite and Phi-4 Mini Instruct, 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 Phi-4 Mini Instruct?+

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 Phi-4 Mini Instruct?+

Gemini 3.1 Flash Lite has the larger sourced context window. Gemini 3.1 Flash Lite supports 1,049K and Phi-4 Mini Instruct supports 131K.

Which performs better in benchmarks, Gemini 3.1 Flash Lite or Phi-4 Mini Instruct?+

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 Phi-4 Mini Instruct be self-hosted?+

Phi-4 Mini Instruct is the only model in this pair currently marked as self-hostable. Gemini 3.1 Flash Lite is not marked open weight; Phi-4 Mini Instruct is open weight.

Can Gemini 3.1 Flash Lite and Phi-4 Mini Instruct understand images?+

Gemini 3.1 Flash Lite is documented with image input; Phi-4 Mini Instruct 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 Phi-4 Mini Instruct?+

Neither has a larger sourced maximum output. Gemini 3.1 Flash Lite is 66K and Phi-4 Mini Instruct is —.

Do Gemini 3.1 Flash Lite and Phi-4 Mini Instruct support reasoning and tool use?+

Gemini 3.1 Flash Lite: reasoning, tool calling, and image input. Phi-4 Mini Instruct: 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 Phi-4 Mini Instruct?+

Gemini 3.1 Flash Lite has 2 sourced provider routes; Phi-4 Mini Instruct has 1, so Gemini 3.1 Flash Lite has broader tracked availability.

Which offers better value, Gemini 3.1 Flash Lite or Phi-4 Mini Instruct?+

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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