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GPT-4o (2024-05-13) vs o4 Mini

o4 Mini leads GPT-4o (2024-05-13) on the Artificial Analysis Intelligence Index, 16.7 to 7.3, and o4 Mini costs 3.4x less per output token ($4.40 vs $15.00 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Replace GPT-4o (2024-05-13) Replace o4 Mini
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
1
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
40
vs boards won of 41 shared

GPT-4o (2024-05-13) or o4 Mini: which to pick

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

Pick GPT-4o (2024-05-13) for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Model AGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
41
GPT-4o (2024-05-13) only
3
o4 Mini only
57
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
GPT-4o (2024-05-13) not benchmarked, o4 Mini not benchmarked.
Widest category
Math, 38.9 points apart on average over 4 shared benchmarks.
Widest single gap
OTIS Mock AIME: GPT-4o (2024-05-13) 6.3% against o4 Mini 81.7%, 75.4 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-05-13) $15.00 against o4 Mini $4.40 per million output tokens, 3.4x apart.
Context window
GPT-4o (2024-05-13) takes 128K tokens, o4 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
CategoryGPT-4o (2024-05-13)Barso4 MiniTies
Coding03
Intelligence01
Agentic work01
Reasoning07
Math04
Knowledge05
General119
All shared boards140
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for GPT-4o (2024-05-13) and o4 Mini
BenchmarkGPT-4o (2024-05-13)o4 MiniLeader
Aider polyglotNot measured72.0%Only o4 Mini measured
SWE-bench VerifiedNot measured64.6%Only o4 Mini measured
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
AA Coding Index24.2Not measuredOnly GPT-4o (2024-05-13) measured
LiveCodeBench (Vals AI)Not measured82.2%Only o4 Mini measured
LiveCodeBench (Artificial Analysis run)33.4%85.9%o4 Mini
Terminal-Bench Hard (Artificial Analysis run)Not measured15.2%Only o4 Mini measured
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdMLNot measured52.6%Only o4 Mini measured
LMArena Text: coding12971368o4 Mini
LMArena Text: software and IT12971367o4 Mini
SciCodeNot measured10.8%Only o4 Mini measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-05-13) and o4 Mini
BenchmarkGPT-4o (2024-05-13)o4 MiniLeader
AA Intelligence Index7.316.7o4 Mini
Epoch Capabilities IndexNot measured145.5Only o4 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4o (2024-05-13) and o4 Mini
BenchmarkGPT-4o (2024-05-13)o4 MiniLeader
τ²-Bench TelecomNot measured55.6%Only o4 Mini measured
METR time horizons40.8%63.9%o4 Mini
BALROG32.3%Not measuredOnly GPT-4o (2024-05-13) measured
Berkeley Function Calling Leaderboard (BFCL)Not measured53.2%Only o4 Mini measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for GPT-4o (2024-05-13) and o4 Mini
BenchmarkGPT-4o (2024-05-13)o4 MiniLeader
GPQA Diamond50.2%74.5%o4 Mini
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)52.6%78.4%o4 Mini
Humanity's Last Exam (Artificial Analysis run)1.8%16.5%o4 Mini
GPQA Diamond (Epoch AI run)48.9%79.6%o4 Mini
ARC-AGINot measured58.7%Only o4 Mini measured
ARC-AGI-2Not measured6.1%Only o4 Mini measured
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts12811351o4 Mini
LMArena Text: expert12501343o4 Mini
LMArena Text: hard prompts in English12931366o4 Mini
LMArena Vision: diagramsNot measured1197Only o4 Mini measured
LMArena Vision: homeworkNot measured1234Only o4 Mini measured
Kagi LLM BenchmarkNot measured67.6%Only o4 Mini measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index04
Math benchmarks for GPT-4o (2024-05-13) and o4 Mini
BenchmarkGPT-4o (2024-05-13)o4 MiniLeader
AIMENot measured83.7%Only o4 Mini measured
MATH 500 (Vals AI)Not measured94.2%Only o4 Mini measured
MGSM (Vals AI)Not measured93.4%Only o4 Mini measured
AA Math IndexNot measured90.7Only o4 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only o4 Mini measured
OTIS Mock AIME6.3%81.7%o4 Mini
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
MATH level 551.0%97.8%o4 Mini
LMArena Text: math12841389o4 Mini
LMArena Text: mathematical work12841379o4 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 GPT-4o (2024-05-13) and o4 Mini
BenchmarkGPT-4o (2024-05-13)o4 MiniLeader
MMLU ProNot measured80.6%Only o4 Mini measured
LegalBench (Vals AI)Not measured79.2%Only o4 Mini measured
CorpFin (Vals AI)Not measured59.0%Only o4 Mini measured
TaxEval (Vals AI)Not measured74.8%Only o4 Mini measured
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)Not measured96.0%Only o4 Mini measured
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)74.0%83.2%o4 Mini
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
MMLU84.2%Not measuredOnly GPT-4o (2024-05-13) measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science12951354o4 Mini
LMArena Text: medicine and healthcare12781361o4 Mini
LMArena Text: legal and government13141350o4 Mini
LMArena Text: business and finance12621325o4 Mini
FACTS Benchmark SuiteNot measured28.1%Only o4 Mini measured
Neither model has a result on the other 2 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for GPT-4o (2024-05-13) and o4 Mini
BenchmarkGPT-4o (2024-05-13)o4 MiniLeader
Design Arena: websitesNot measured985Only o4 Mini measured
Design Arena: UI componentsNot measured983Only o4 Mini measured
Design Arena: game devNot measured1003Only o4 Mini measured
Design Arena: data vizNot measured991Only o4 Mini measured
Design Arena: 3DNot measured854Only o4 Mini measured
Design Arena: all code categoriesNot measured976Only o4 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index119
General benchmarks for GPT-4o (2024-05-13) and o4 Mini
BenchmarkGPT-4o (2024-05-13)o4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBenchNot measured68.7%Only o4 Mini measured
Long context reasoning (AA-LCR)Not measured61.0%Only o4 Mini measured
DTBenchNot measured77.6%Only o4 Mini measured
LMCANot measured26.5%Only o4 Mini measured
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
LMArena Text13001353o4 Mini
LMArena Text: instruction following12781320o4 Mini
LMArena Text: creative writing12911294o4 Mini
LMArena Vision11371194o4 Mini
LMArena Text: English13121367o4 Mini
LMArena Text: non-English12831337o4 Mini
LMArena Text: Chinese12771354o4 Mini
LMArena Text: German12831336o4 Mini
LMArena Text: Japanese12571308o4 Mini
LMArena Text: Korean12341312o4 Mini
LMArena Text: French13041364o4 Mini
LMArena Text: Spanish12921346o4 Mini
LMArena Text: Russian12851334o4 Mini
LMArena Text: Polish13651358GPT-4o (2024-05-13)
LMArena Text: multi-turn13021350o4 Mini
LMArena Text: longer queries12881315o4 Mini
LMArena Text: writing and language12981316o4 Mini
LMArena Text: entertainment and media12891308o4 Mini
LMArena Vision: English11471200o4 Mini
LMArena Vision: Chinese11321218o4 Mini
LMArena Vision: reading textNot measured1197Only o4 Mini measured
LMArena Vision: humorNot measured1199Only o4 Mini measured
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writingNot measured1166Only o4 Mini measured
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-05-13) and o4 Mini
BenchmarkGPT-4o (2024-05-13)o4 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

GPT-4o (2024-05-13)$0.013Fits in one request
o4 Mini$0.0033Fits in one request

o4 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-05-13)$0.295Fits in one request
o4 Mini$0.068Fits in one request

o4 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-05-13)$1.15Exceeds the context window
o4 Mini$0.264Exceeds the context window

o4 Mini 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 GPT-4o (2024-05-13) and o4 Mini
SpecificationOpenAI GPT-4o (2024-05-13)OpenAI o4 Mini
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 13, 2024April 16, 2025
Context window128K200K
Input $/Mtok$5.00$1.10
Output $/Mtok$15.00$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-05-13) better than o4 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-05-13) for work measured by LiveCodeBench (Artificial Analysis run) or LMArena Text: coding, where it leads.

Which is cheaper, GPT-4o (2024-05-13) or o4 Mini?

GPT-4o (2024-05-13) costs $5.00 per million input tokens and $15.00 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-05-13) or o4 Mini?

o4 Mini, with 200K tokens against 128K.

How many benchmarks is the GPT-4o (2024-05-13) vs o4 Mini comparison based on?

41 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-05-13)'s coding index rests on 0 independent benchmarks and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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