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Gemini 3.5 Flash Lite vs Phi 4

Updated October 21, 2026. 34 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemini 3.5 Flash LiteGoogle
Coding
49.0
Overall
22.2
Output $/M
$2.50
34
Phi 4Microsoft
Coding
No data
Overall
5.9
Output $/M
$0.14
0
vs boards won of 34 shared

Decision reading

Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; Phi 4 has none, so the two cannot be ranked on coding.

Phi 4 has the edge where output tokens cost 17.9x less.

Shared results
34
Gemini 3.5 Flash Lite only
49
Phi 4 only
11
Like-for-like categories
6 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 3.5 Flash Lite 49.0 from 3 benchmarks, Phi 4 not benchmarked.
Widest category
General, 41.1 points apart on average over 17 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemini 3.5 Flash Lite 76.0% against Phi 4 0.0%, 76.0 points apart on a 0 to 100 scale.
Output price
Gemini 3.5 Flash Lite $2.50 against Phi 4 $0.14 per million output tokens, 17.9x apart.
Context window
Gemini 3.5 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 3.5 Flash LiteBarsPhi 4Ties
Coding20
Intelligence20
Reasoning60
Math30
Knowledge40
General170
All shared boards340
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Gemini 3.5 Flash Lite and Phi 4
BenchmarkGemini 3.5 Flash LitePhi 4Leader
LMArena WebDev1435Not measuredOnly Gemini 3.5 Flash Lite measured
AA Coding Index49.3Not measuredOnly Gemini 3.5 Flash Lite measured
LiveCodeBench (Vals AI)79.0%Not measuredOnly Gemini 3.5 Flash Lite measured
SWE-bench Verified (Vals AI)75.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Vibe Code Bench (Vals AI)37.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Code migration (Vals AI)6.2%Not measuredOnly Gemini 3.5 Flash Lite measured
ProgramBench (Vals AI)0.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench 2.1 (Vals AI)50.2%Not measuredOnly Gemini 3.5 Flash Lite measured
CyberBench (Vals AI)59.1%Not measuredOnly Gemini 3.5 Flash Lite measured
LiveCodeBench (Artificial Analysis run)Not measured23.1%Only Phi 4 measured
SciCode41.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)Not measured3.8%Only Phi 4 measured
WeirdML39.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ALE-Bench765.3Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: coding14531231Gemini 3.5 Flash Lite
LMArena Text: software and IT14511228Gemini 3.5 Flash Lite
LMArena WebDev: React1408Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena WebDev: from an image1448Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 3.5 Flash Lite and Phi 4
BenchmarkGemini 3.5 Flash LitePhi 4Leader
AA Intelligence Index22.25.9Gemini 3.5 Flash Lite
Epoch Capabilities Index144.9130.5Gemini 3.5 Flash Lite
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for Gemini 3.5 Flash Lite and Phi 4
BenchmarkGemini 3.5 Flash LitePhi 4Leader
AA Agentic Index14.3Not measuredOnly Gemini 3.5 Flash Lite measured
Finance Agent (Vals AI)47.4%Not measuredOnly Gemini 3.5 Flash Lite measured
Tax Agent Bench (Vals AI)7.2%Not measuredOnly Gemini 3.5 Flash Lite measured
Legal Research Bench (Vals AI)13.9%Not measuredOnly Gemini 3.5 Flash Lite measured
Excel Modeling Benchmark (Vals AI)43.2%Not measuredOnly Gemini 3.5 Flash Lite measured
τ²-Bench TelecomNot measured0.0%Only Phi 4 measured
APEX-Agents29.3%Not measuredOnly Gemini 3.5 Flash Lite measured
BALROGNot measured11.6%Only Phi 4 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemini 3.5 Flash Lite and Phi 4
BenchmarkGemini 3.5 Flash LitePhi 4Leader
GPQA Diamond83.8%Not measuredOnly Gemini 3.5 Flash Lite measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Gemini 3.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)83.8%57.5%Gemini 3.5 Flash Lite
Humanity's Last Exam (Artificial Analysis run)18.8%3.8%Gemini 3.5 Flash Lite
GPQA Diamond (Epoch AI run)83.3%56.1%Gemini 3.5 Flash Lite
ARC-AGI53.5%Not measuredOnly Gemini 3.5 Flash Lite measured
ARC-AGI-210.3%Not measuredOnly Gemini 3.5 Flash Lite measured
Chess puzzles21.0%Not measuredOnly Gemini 3.5 Flash Lite measured
Mystery game puzzles19.0%Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: hard prompts14411220Gemini 3.5 Flash Lite
LMArena Text: expert14341203Gemini 3.5 Flash Lite
LMArena Text: hard prompts in English14401230Gemini 3.5 Flash Lite
LMArena Vision: diagrams1284Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: homework1291Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 3.5 Flash Lite and Phi 4
BenchmarkGemini 3.5 Flash LitePhi 4Leader
AA Math IndexNot measured18.0Only Phi 4 measured
AIME 2025 (Artificial Analysis run)Not measured18.0%Only Phi 4 measured
OTIS Mock AIME71.1%13.8%Gemini 3.5 Flash Lite
FrontierMath, tiers 1 to 326.0%Not measuredOnly Gemini 3.5 Flash Lite measured
FrontierMath, tier 40.0%Not measuredOnly Gemini 3.5 Flash Lite measured
ProofBench13.0%Not measuredOnly Gemini 3.5 Flash Lite measured
MATH level 5Not measured64.9%Only Phi 4 measured
LMArena Text: math14341246Gemini 3.5 Flash Lite
LMArena Text: mathematical work14331254Gemini 3.5 Flash Lite
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemini 3.5 Flash Lite and Phi 4
BenchmarkGemini 3.5 Flash LitePhi 4Leader
MMLU Pro85.8%Not measuredOnly Gemini 3.5 Flash Lite measured
LegalBench (Vals AI)84.1%Not measuredOnly Gemini 3.5 Flash Lite measured
CorpFin (Vals AI)60.7%Not measuredOnly Gemini 3.5 Flash Lite measured
TaxEval (Vals AI)72.6%Not measuredOnly Gemini 3.5 Flash Lite measured
MortgageTax (Vals AI)68.7%Not measuredOnly Gemini 3.5 Flash Lite measured
MedCode (Vals AI)43.5%Not measuredOnly Gemini 3.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)Not measured71.4%Only Phi 4 measured
MMLUNot measured84.8%Only Phi 4 measured
LMArena Text: science14511206Gemini 3.5 Flash Lite
LMArena Text: medicine and healthcare14381202Gemini 3.5 Flash Lite
LMArena Text: legal and government14311241Gemini 3.5 Flash Lite
LMArena Text: business and finance14231199Gemini 3.5 Flash Lite
Neither model has a result on the other 5 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemini 3.5 Flash Lite and Phi 4
BenchmarkGemini 3.5 Flash LitePhi 4Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Gemini 3.5 Flash Lite and Phi 4
BenchmarkGemini 3.5 Flash LitePhi 4Leader
Public Benefits Bench (Vals AI)51.8%Not measuredOnly Gemini 3.5 Flash Lite measured
SAGE (Vals AI)47.3%Not measuredOnly Gemini 3.5 Flash Lite measured
MedScribe (Vals AI)70.9%Not measuredOnly Gemini 3.5 Flash Lite measured
IFBenchNot measured23.5%Only Phi 4 measured
Long context reasoning (AA-LCR)76.0%0.0%Gemini 3.5 Flash Lite
DTBench83.5%Not measuredOnly Gemini 3.5 Flash Lite measured
LMCA37.6%Not measuredOnly Gemini 3.5 Flash Lite measured
Creative writing (Lech Mazur)Not measured62.6%Only Phi 4 measured
LMArena Text14351217Gemini 3.5 Flash Lite
LMArena Text: instruction following14191201Gemini 3.5 Flash Lite
LMArena Text: creative writing14211181Gemini 3.5 Flash Lite
LMArena Vision1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: English14381231Gemini 3.5 Flash Lite
LMArena Text: non-English14271197Gemini 3.5 Flash Lite
LMArena Text: Chinese14681212Gemini 3.5 Flash Lite
LMArena Text: German14541222Gemini 3.5 Flash Lite
LMArena Text: Japanese14261158Gemini 3.5 Flash Lite
LMArena Text: Korean14071151Gemini 3.5 Flash Lite
LMArena Text: French14511224Gemini 3.5 Flash Lite
LMArena Text: Spanish14411234Gemini 3.5 Flash Lite
LMArena Text: Russian14431209Gemini 3.5 Flash Lite
LMArena Text: Polish1437Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Text: multi-turn14451206Gemini 3.5 Flash Lite
LMArena Text: longer queries14351217Gemini 3.5 Flash Lite
LMArena Text: writing and language14281198Gemini 3.5 Flash Lite
LMArena Text: entertainment and media14141162Gemini 3.5 Flash Lite
LMArena Vision: English1269Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: Chinese1311Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: reading text1280Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: humor1287Not measuredOnly Gemini 3.5 Flash Lite measured
LMArena Vision: creative writing1260Not measuredOnly Gemini 3.5 Flash Lite measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 3.5 Flash Lite and Phi 4
BenchmarkGemini 3.5 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 3.5 Flash Lite$0.0015Fits in one request
Phi 4$0.0001Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

Gemini 3.5 Flash Lite$0.022Fits in one request
Phi 4$0.0039Exceeds the context window

Phi 4 costs less

Agent loop

200K input + 10K output tokens

Gemini 3.5 Flash Lite$0.085Fits 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 3.5 Flash Lite and Phi 4
SpecificationGoogle Gemini 3.5 Flash LiteMicrosoft Phi 4
MakerGoogleMicrosoft
WeightsNo public weights listedOpen weights
ReleasedJuly 21, 2026January 10, 2025
Context window1.05M16K
Input $/Mtok$0.30$0.07
Output $/Mtok$2.50$0.14
Coding index49.0Not benchmarked
Independent measurements behind it30
Cost per solved task$0.41Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 3.5 Flash Lite better than Phi 4 for coding?

Only Gemini 3.5 Flash Lite has a coding score, 49.0 on the Vibe Coding Index; Phi 4 has none, so the two cannot be ranked on coding. Phi 4 has the edge where output tokens cost 17.9x less.

Which is cheaper, Gemini 3.5 Flash Lite or Phi 4?

Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Phi 4 costs $0.07 and $0.14. Cost per solved task is known for Gemini 3.5 Flash Lite only.

Which has the bigger context window, Gemini 3.5 Flash Lite or Phi 4?

Gemini 3.5 Flash Lite, with 1.05M tokens against 16K.

How many benchmarks is the Gemini 3.5 Flash Lite vs Phi 4 comparison based on?

34 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 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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