Gemini 3.5 Flash-Lite vs phi-4

Benchmark Performance

Available Benchmarks

BenchmarkGemini 3.5 Flash-Litephi-4
LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader1,436.25100% of row best · rating · gemini-3.5-flash-lite; 95% CI [1431.05053629, 1441.44358777]; votes 21843; rank 741,216.4985% of row best · rating · phi-4; 95% CI [1211.91444642, 1221.07047082]; votes 24126; rank 296
Overall ResultCounted from the protocol-matched rows above1 benchmark winOverall lead0 benchmark wins

Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.

FieldAt a Glance
Google DeepMind · activeGemini 3.5 Flash-LiteVerified Aug 29, 2026
Microsoft · activephi-4Verified Aug 28, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldGemini 3.5 Flash-Litephi-4
DeveloperGoogle DeepMindMicrosoft
FamilyGemini 3Phi 4
ModelGemini 3.5 Flash-Litephi-4
VersionGemini 3.5 Flash-Litephi-4
Lifecycleactiveactive
ReleasedUnknown2024-12-12
Knowledge cutoffUnknownUnknown
Input modalitiesText, Image, Video, Audio, DocumentText
Output modalitiesTextText
Context window1,048,57616,384
Total parametersUnknown14,659,507,200
Active parametersUnknownUnknown
LicenseUnknownmit
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard)Deepinfra (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation

13 comparable fields · 10 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 providers1
Canonical IDgoogle-deepmind/gemini-3.5-flash-lite

phi-4 Capabilities

chatgeneration
Input price$0.070
Output price$0.14
Serving providers2
Canonical IDmicrosoft/phi-4

Internal Comparison Graph

Related Comparisons

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Primary Evidence

Sources and Freshness

Questions

Gemini 3.5 Flash-Lite vs phi-4 FAQs

Is Gemini 3.5 Flash-Lite or phi-4 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.5 Flash-Lite and phi-4, 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 phi-4?+

Gemini 3.5 Flash-Lite is $0.30 and phi-4 is $0.070 per million tokens, so phi-4 is cheaper on this metric. Gemini 3.5 Flash-Lite is $2.50 and phi-4 is $0.14 per million tokens, so phi-4 is cheaper on this metric.

Which has a larger context window, Gemini 3.5 Flash-Lite or phi-4?+

Gemini 3.5 Flash-Lite has the larger sourced context window. Gemini 3.5 Flash-Lite supports 1,048,576 and phi-4 supports 16,384.

Which performs better in benchmarks, Gemini 3.5 Flash-Lite or phi-4?+

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 phi-4 be self-hosted?+

phi-4 is the only model in this pair currently marked as self-hostable. Gemini 3.5 Flash-Lite is not marked open weight; phi-4 is open weight.

Can Gemini 3.5 Flash-Lite and phi-4 understand images?+

Gemini 3.5 Flash-Lite is documented with image input; phi-4 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 phi-4?+

Neither has a larger sourced maximum output. Gemini 3.5 Flash-Lite is 65,536 and phi-4 is —.

Do Gemini 3.5 Flash-Lite and phi-4 support reasoning and tool use?+

Gemini 3.5 Flash-Lite: reasoning, tool calling, and image input. phi-4: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Gemini 3.5 Flash-Lite or phi-4?+

Gemini 3.5 Flash-Lite has 1 sourced provider route; phi-4 has 2, so phi-4 has broader tracked availability.

Which offers better value, Gemini 3.5 Flash-Lite or phi-4?+

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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