Enter opens the highlighted result. Esc closes.

Phi 4 vs o3 Mini

o3 Mini leads Phi 4 on the Artificial Analysis Intelligence Index, 12.5 to 5.9, and Phi 4 costs 31.4x less per output token ($0.14 vs $4.40 per million). Updated October 21, 2026; 41 benchmarks have a result for both.

Replace Phi 4 Replace o3 Mini
Phi 4Microsoft
Coding
No data
Overall
5.9
Output $/M
$0.14
1
o3 MiniOpenAI
Coding
No data
Overall
12.5
Output $/M
$4.40
40
vs boards won of 41 shared

Phi 4 or o3 Mini: which to pick

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

Pick Phi 4 for output tokens 31.4x cheaper ($0.14 vs $4.40 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Model APhi 4MicrosoftNot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo3 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
41
Phi 4 only
4
o3 Mini only
29
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
Phi 4 not benchmarked, o3 Mini not benchmarked.
Widest category
Math, 36.0 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: Phi 4 13.8% against o3 Mini 76.9%, 63.2 points apart on a 0 to 100 scale.
Output price
Phi 4 $0.14 against o3 Mini $4.40 per million output tokens, 31.4x apart.
Context window
Phi 4 takes 16K tokens, o3 Mini 200K.

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
CategoryPhi 4Barso3 MiniTies
Coding04
Intelligence02
Agentic work01
Reasoning06
Math04
Knowledge05
General118
All shared boards140
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
Coding benchmarks for Phi 4 and o3 Mini
BenchmarkPhi 4o3 MiniLeader
Aider polyglotNot measured60.4%Only o3 Mini measured
SWE-bench VerifiedNot measured42.4%Only o3 Mini measured
SWE-bench LiteNot measured32.3%Only o3 Mini measured
LiveCodeBench (Vals AI)Not measured71.5%Only o3 Mini measured
LiveCodeBench (Artificial Analysis run)23.1%73.4%o3 Mini
SciCodeNot measured42.8%Only o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)3.8%6.8%o3 Mini
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdMLNot measured43.7%Only o3 Mini measured
CybenchNot measured22.5%Only o3 Mini measured
LMArena Text: coding12311378o3 Mini
LMArena Text: software and IT12281364o3 Mini
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Phi 4 and o3 Mini
BenchmarkPhi 4o3 MiniLeader
AA Intelligence Index5.912.5o3 Mini
Epoch Capabilities Index130.5140.2o3 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Phi 4 and o3 Mini
BenchmarkPhi 4o3 MiniLeader
τ²-Bench Telecom0.0%31.3%o3 Mini
BALROG11.6%Not measuredOnly 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 index06
Reasoning benchmarks for Phi 4 and o3 Mini
BenchmarkPhi 4o3 MiniLeader
GPQA DiamondNot measured75.5%Only o3 Mini measured
GPQA Diamond (Artificial Analysis run)57.5%77.3%o3 Mini
Humanity's Last Exam (Artificial Analysis run)3.8%12.0%o3 Mini
GPQA Diamond (Epoch AI run)56.1%77.0%o3 Mini
ARC-AGINot measured34.5%Only o3 Mini measured
ARC-AGI-2Not measured3.0%Only o3 Mini measured
SimpleBenchNot measured22.8%Only o3 Mini measured
Chess puzzlesNot measured15.0%Only o3 Mini measured
Mystery game puzzlesNot measured7.0%Only o3 Mini measured
LMArena Text: hard prompts12201365o3 Mini
LMArena Text: expert12031364o3 Mini
LMArena Text: hard prompts in English12301375o3 Mini
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for Phi 4 and o3 Mini
BenchmarkPhi 4o3 MiniLeader
AIMENot measured86.5%Only o3 Mini measured
MATH 500 (Vals AI)Not measured91.8%Only o3 Mini measured
MGSM (Vals AI)Not measured91.3%Only o3 Mini measured
AA Math Index18.0Not measuredOnly Phi 4 measured
AIME 2025 (Artificial Analysis run)18.0%Not measuredOnly Phi 4 measured
OTIS Mock AIME13.8%76.9%o3 Mini
FrontierMath, tiers 1 to 3Not measured18.6%Only o3 Mini measured
FrontierMath, tier 4Not measured0.0%Only o3 Mini measured
MATH level 564.9%96.5%o3 Mini
LMArena Text: math12461396o3 Mini
LMArena Text: mathematical work12541399o3 Mini
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Phi 4 and o3 Mini
BenchmarkPhi 4o3 MiniLeader
MMLU ProNot measured78.7%Only o3 Mini measured
LegalBench (Vals AI)Not measured71.5%Only o3 Mini measured
CorpFin (Vals AI)Not measured45.3%Only o3 Mini measured
TaxEval (Vals AI)Not measured69.4%Only o3 Mini measured
MedQA (Vals AI)Not measured94.8%Only o3 Mini measured
MMLU Pro (Artificial Analysis run)71.4%80.2%o3 Mini
SimpleQA VerifiedNot measured15.3%Only o3 Mini measured
MMLU84.8%Not measuredOnly Phi 4 measured
LMArena Text: science12061339o3 Mini
LMArena Text: medicine and healthcare12021330o3 Mini
LMArena Text: legal and government12411328o3 Mini
LMArena Text: business and finance11991313o3 Mini
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 Phi 4 and o3 Mini
BenchmarkPhi 4o3 MiniLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index118
General benchmarks for Phi 4 and o3 Mini
BenchmarkPhi 4o3 MiniLeader
IFBench23.5%67.1%o3 Mini
Long context reasoning (AA-LCR)0.0%43.0%o3 Mini
DTBenchNot measured68.8%Only o3 Mini measured
LMCANot measured19.0%Only o3 Mini measured
Fiction.LiveBenchNot measured50.0%Only o3 Mini measured
Creative writing (Lech Mazur)62.6%61.7%Phi 4
LMArena Text12171337o3 Mini
LMArena Text: instruction following12011337o3 Mini
LMArena Text: creative writing11811286o3 Mini
LMArena Text: English12311351o3 Mini
LMArena Text: non-English11971319o3 Mini
LMArena Text: Chinese12121379o3 Mini
LMArena Text: German12221303o3 Mini
LMArena Text: Japanese11581286o3 Mini
LMArena Text: Korean11511313o3 Mini
LMArena Text: French12241334o3 Mini
LMArena Text: Spanish12341321o3 Mini
LMArena Text: Russian12091304o3 Mini
LMArena Text: PolishNot measured1294Only o3 Mini measured
LMArena Text: multi-turn12061320o3 Mini
LMArena Text: longer queries12171343o3 Mini
LMArena Text: writing and language11981313o3 Mini
LMArena Text: entertainment and media11621283o3 Mini
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 Phi 4 and o3 Mini
BenchmarkPhi 4o3 MiniLeader
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

Phi 4$0.0001Fits in one request
o3 Mini$0.0033Fits in one request

Phi 4 costs less

Repository review

50K input + 3K output tokens

Phi 4$0.0039Exceeds the context window
o3 Mini$0.068Fits in one request

Phi 4 costs less

Agent loop

200K input + 10K output tokens

Phi 4$0.015Exceeds the context window
o3 Mini$0.264Exceeds 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 Phi 4 and o3 Mini
SpecificationMicrosoft Phi 4OpenAI o3 Mini
MakerMicrosoftOpenAI
WeightsOpen weightsNo public weights listed
ReleasedJanuary 10, 2025January 31, 2025
Context window16K200K
Input $/Mtok$0.07$1.10
Output $/Mtok$0.14$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Phi 4 better than o3 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Phi 4 for output tokens 31.4x cheaper ($0.14 vs $4.40 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.

Which is cheaper, Phi 4 or o3 Mini?

Phi 4 costs $0.07 per million input tokens and $0.14 per million output tokens; o3 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Phi 4 or o3 Mini?

o3 Mini, with 200K tokens against 16K.

How many benchmarks is the Phi 4 vs o3 Mini comparison based on?

41 benchmarks have a result for both models as of October 21, 2026. Phi 4's coding index rests on 0 independent benchmarks and o3 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next