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Gemini 2.5 Flash Lite vs Phi 4

Gemini 2.5 Flash Lite leads Phi 4 on the Artificial Analysis Intelligence Index, 10.4 to 5.9, and Phi 4 costs 2.9x less per output token ($0.14 vs $0.40 per million). Updated October 21, 2026; 12 benchmarks have a result for both.

Gemini 2.5 Flash LiteGoogle
Coding
No data
Overall
10.4
Output $/M
$0.40
12
Phi 4Microsoft
Coding
No data
Overall
5.9
Output $/M
$0.14
0
vs boards won of 12 shared

Gemini 2.5 Flash Lite or Phi 4: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Gemini 2.5 Flash Lite for a larger context window (1.05M against 16K tokens).

Shared results
12
Gemini 2.5 Flash Lite only
16
Phi 4 only
33
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemini 2.5 Flash Lite not benchmarked, Phi 4 not benchmarked.
Widest category
General, 41.0 points apart on average over 2 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemini 2.5 Flash Lite 55.7% against Phi 4 0.0%, 55.7 points apart on a 0 to 100 scale.
Output price
Gemini 2.5 Flash Lite $0.40 against Phi 4 $0.14 per million output tokens, 2.9x apart.
Context window
Gemini 2.5 Flash Lite takes 1.05M tokens, Phi 4 16K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemini 2.5 Flash LiteBarsPhi 4Ties
Coding20
Intelligence20
Agentic work10
Reasoning20
Math20
Knowledge10
General20
All shared boards120
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Gemini 2.5 Flash Lite and Phi 4
BenchmarkGemini 2.5 Flash LitePhi 4Leader
LiveCodeBench (Vals AI)71.4%Not measuredOnly Gemini 2.5 Flash Lite measured
LiveCodeBench (Artificial Analysis run)59.3%23.1%Gemini 2.5 Flash Lite
Terminal-Bench Hard (Artificial Analysis run)4.5%3.8%Gemini 2.5 Flash Lite
LMArena Text: codingNot measured1231Only Phi 4 measured
LMArena Text: software and ITNot measured1228Only Phi 4 measured
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 2.5 Flash Lite and Phi 4
BenchmarkGemini 2.5 Flash LitePhi 4Leader
AA Intelligence Index10.45.9Gemini 2.5 Flash Lite
Epoch Capabilities Index133.8130.5Gemini 2.5 Flash Lite
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemini 2.5 Flash Lite and Phi 4
BenchmarkGemini 2.5 Flash LitePhi 4Leader
τ²-Bench Telecom19.0%0.0%Gemini 2.5 Flash Lite
BALROGNot measured11.6%Only Phi 4 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for Gemini 2.5 Flash Lite and Phi 4
BenchmarkGemini 2.5 Flash LitePhi 4Leader
GPQA Diamond70.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMMU Pro (Vals AI)75.4%Not measuredOnly Gemini 2.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)62.5%57.5%Gemini 2.5 Flash Lite
Humanity's Last Exam (Artificial Analysis run)6.8%3.8%Gemini 2.5 Flash Lite
GPQA Diamond (Epoch AI run)Not measured56.1%Only Phi 4 measured
LMArena Text: hard promptsNot measured1220Only Phi 4 measured
LMArena Text: expertNot measured1203Only Phi 4 measured
LMArena Text: hard prompts in EnglishNot measured1230Only Phi 4 measured
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemini 2.5 Flash Lite and Phi 4
BenchmarkGemini 2.5 Flash LitePhi 4Leader
AIME42.1%Not measuredOnly Gemini 2.5 Flash Lite measured
MGSM (Vals AI)89.5%Not measuredOnly Gemini 2.5 Flash Lite measured
AA Math Index53.318.0Gemini 2.5 Flash Lite
AIME 2025 (Artificial Analysis run)53.3%18.0%Gemini 2.5 Flash Lite
OTIS Mock AIMENot measured13.8%Only Phi 4 measured
MATH level 5Not measured64.9%Only Phi 4 measured
LMArena Text: mathNot measured1246Only Phi 4 measured
LMArena Text: mathematical workNot measured1254Only Phi 4 measured
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
Knowledge benchmarks for Gemini 2.5 Flash Lite and Phi 4
BenchmarkGemini 2.5 Flash LitePhi 4Leader
MMLU Pro79.1%Not measuredOnly Gemini 2.5 Flash Lite measured
LegalBench (Vals AI)82.0%Not measuredOnly Gemini 2.5 Flash Lite measured
CorpFin (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
TaxEval (Vals AI)66.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MortgageTax (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
MedQA (Vals AI)88.9%Not measuredOnly Gemini 2.5 Flash Lite measured
MedCode (Vals AI)34.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)75.9%71.4%Gemini 2.5 Flash Lite
MMLUNot measured84.8%Only Phi 4 measured
LMArena Text: scienceNot measured1206Only Phi 4 measured
LMArena Text: medicine and healthcareNot measured1202Only Phi 4 measured
LMArena Text: legal and governmentNot measured1241Only Phi 4 measured
LMArena Text: business and financeNot measured1199Only Phi 4 measured
Neither model has a result on the other 4 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 2.5 Flash Lite and Phi 4
BenchmarkGemini 2.5 Flash LitePhi 4Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for Gemini 2.5 Flash Lite and Phi 4
BenchmarkGemini 2.5 Flash LitePhi 4Leader
SAGE (Vals AI)30.8%Not measuredOnly Gemini 2.5 Flash Lite measured
MedScribe (Vals AI)75.8%Not measuredOnly Gemini 2.5 Flash Lite measured
IFBench49.9%23.5%Gemini 2.5 Flash Lite
Long context reasoning (AA-LCR)55.7%0.0%Gemini 2.5 Flash Lite
DTBench62.8%Not measuredOnly Gemini 2.5 Flash Lite measured
LMCA18.1%Not measuredOnly Gemini 2.5 Flash Lite measured
Creative writing (Lech Mazur)Not measured62.6%Only Phi 4 measured
LMArena TextNot measured1217Only Phi 4 measured
LMArena Text: instruction followingNot measured1201Only Phi 4 measured
LMArena Text: creative writingNot measured1181Only Phi 4 measured
LMArena Text: EnglishNot measured1231Only Phi 4 measured
LMArena Text: non-EnglishNot measured1197Only Phi 4 measured
LMArena Text: ChineseNot measured1212Only Phi 4 measured
LMArena Text: GermanNot measured1222Only Phi 4 measured
LMArena Text: JapaneseNot measured1158Only Phi 4 measured
LMArena Text: KoreanNot measured1151Only Phi 4 measured
LMArena Text: FrenchNot measured1224Only Phi 4 measured
LMArena Text: SpanishNot measured1234Only Phi 4 measured
LMArena Text: RussianNot measured1209Only Phi 4 measured
LMArena Text: multi-turnNot measured1206Only Phi 4 measured
LMArena Text: longer queriesNot measured1217Only Phi 4 measured
LMArena Text: writing and languageNot measured1198Only Phi 4 measured
LMArena Text: entertainment and mediaNot measured1162Only Phi 4 measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 2.5 Flash Lite and Phi 4
BenchmarkGemini 2.5 Flash LitePhi 4Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemini 2.5 Flash Lite$0.0003Fits in one request
Phi 4$0.0001Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash Lite$0.0062Fits in one request
Phi 4$0.0039Exceeds the context window

Phi 4 costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash Lite$0.024Fits in one request
Phi 4$0.015Exceeds the context window

Phi 4 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemini 2.5 Flash Lite and Phi 4
SpecificationGoogle Gemini 2.5 Flash LiteMicrosoft Phi 4
MakerGoogleMicrosoft
WeightsNo public weights listedOpen weights
ReleasedJuly 22, 2025January 10, 2025
Context window1.05M16K
Input $/Mtok$0.10$0.07
Output $/Mtok$0.40$0.14
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash Lite better than Phi 4 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for a larger context window (1.05M against 16K tokens).

Which is cheaper, Gemini 2.5 Flash Lite or Phi 4?

Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 per million output tokens; Phi 4 costs $0.07 and $0.14. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemini 2.5 Flash Lite or Phi 4?

Gemini 2.5 Flash Lite, with 1.05M tokens against 16K.

How many benchmarks is the Gemini 2.5 Flash Lite vs Phi 4 comparison based on?

12 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite's coding index rests on 0 independent benchmarks and Phi 4's on 0. Where only one model has a result, the page says so instead of naming a winner.

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