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GPT-4o (2024-08-06) vs o3 Mini

o3 Mini leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 12.5 to 7.7, and o3 Mini costs 2.3x less per output token ($4.40 vs $10.00 per million). Updated October 22, 2026; 52 benchmarks have a result for both.

GPT-4o (2024-08-06)OpenAI
Coding
No data
Overall
26.3
Output $/M
$10.00
4
o3 MiniOpenAI
Coding
No data
Overall
38.0
Output $/M
$4.40
48
vs boards won of 52 shared

GPT-4o (2024-08-06) or o3 Mini: which to pick

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

Pick GPT-4o (2024-08-06) for work measured by Aider polyglot or SWE-bench Lite, where it leads.

Shared results
52
GPT-4o (2024-08-06) only
6
o3 Mini only
20
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 (2024-08-06) not benchmarked, o3 Mini not benchmarked.
Widest category
Math, 32.4 points apart on average over 8 shared benchmarks.
Widest single gap
AIME: GPT-4o (2024-08-06) 14.0% against o3 Mini 86.5%, 72.5 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-08-06) $10.00 against o3 Mini $4.40 per million output tokens, 2.3x apart.
Context window
GPT-4o (2024-08-06) takes 128K 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
CategoryGPT-4o (2024-08-06)Barso3 MiniTies
Coding15
Intelligence01
Agentic work01
Reasoning08
Math08
Knowledge37
General018
All shared boards448
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
Coding benchmarks for GPT-4o (2024-08-06) and o3 Mini
BenchmarkGPT-4o (2024-08-06)o3 MiniLeader
Aider polyglot23.1%60.4%o3 Mini
SWE-bench VerifiedNot measured42.4%Only o3 Mini measured
SWE-bench Lite21.7%32.3%o3 Mini
LiveCodeBench (Vals AI)Not measured71.5%Only o3 Mini measured
LiveCodeBench (Artificial Analysis run)31.7%73.4%o3 Mini
SciCodeNot measured42.8%Only o3 Mini measured
Terminal-Bench Hard (Artificial Analysis run)8.3%6.8%GPT-4o (2024-08-06)
GSO-BenchNot measured1.3%Only o3 Mini measured
WeirdMLNot measured43.7%Only o3 Mini measured
CybenchNot measured22.5%Only o3 Mini measured
LMArena Text: coding12831378o3 Mini
LMArena Text: software and IT12781364o3 Mini
SciCodeNot measured7.7%Only o3 Mini measured
Neither model has a result on the other 30 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GPT-4o (2024-08-06) and o3 Mini
BenchmarkGPT-4o (2024-08-06)o3 MiniLeader
AA Intelligence Index7.712.5o3 Mini
Epoch Capabilities IndexNot measured140.2Only o3 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for GPT-4o (2024-08-06) and o3 Mini
BenchmarkGPT-4o (2024-08-06)o3 MiniLeader
τ²-Bench Telecom28.9%31.3%o3 Mini
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for GPT-4o (2024-08-06) and o3 Mini
BenchmarkGPT-4o (2024-08-06)o3 MiniLeader
GPQA DiamondNot measured75.5%Only o3 Mini measured
MMMU Pro (Vals AI)64.0%Not measuredOnly GPT-4o (2024-08-06) measured
GPQA Diamond (Artificial Analysis run)52.1%77.3%o3 Mini
Humanity's Last Exam (Artificial Analysis run)2.3%12.0%o3 Mini
GPQA Diamond (Epoch AI run)49.2%77.0%o3 Mini
ARC-AGINot measured34.5%Only o3 Mini measured
ARC-AGI-2Not measured3.0%Only o3 Mini measured
SimpleBench17.8%22.8%o3 Mini
Chess puzzles6.0%15.0%o3 Mini
Mystery game puzzlesNot measured7.0%Only o3 Mini measured
LMArena Text: hard prompts12641365o3 Mini
LMArena Text: expert12411364o3 Mini
LMArena Text: hard prompts in English12771375o3 Mini
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index08
Math benchmarks for GPT-4o (2024-08-06) and o3 Mini
BenchmarkGPT-4o (2024-08-06)o3 MiniLeader
AIME14.0%86.5%o3 Mini
MATH 500 (Vals AI)75.2%91.8%o3 Mini
MGSM (Vals AI)90.7%91.3%o3 Mini
OTIS Mock AIME6.4%76.9%o3 Mini
FrontierMath, tiers 1 to 30.4%18.6%o3 Mini
FrontierMath, tier 4Not measured0.0%Only o3 Mini measured
MATH level 553.3%96.5%o3 Mini
LMArena Text: math12851396o3 Mini
LMArena Text: mathematical work12831399o3 Mini
MathArenaNot measured11.6%Only o3 Mini measured
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index37
Knowledge benchmarks for GPT-4o (2024-08-06) and o3 Mini
BenchmarkGPT-4o (2024-08-06)o3 MiniLeader
MMLU Pro74.1%78.7%o3 Mini
LegalBench (Vals AI)80.1%71.5%GPT-4o (2024-08-06)
CorpFin (Vals AI)39.4%45.3%o3 Mini
TaxEval (Vals AI)71.1%69.4%GPT-4o (2024-08-06)
MortgageTax (Vals AI)61.0%Not measuredOnly GPT-4o (2024-08-06) measured
MedQA (Vals AI)88.2%94.8%o3 Mini
MMLU Pro (Artificial Analysis run)Not measured80.2%Only o3 Mini measured
SimpleQA Verified26.0%15.3%GPT-4o (2024-08-06)
MMLU84.3%Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: science12741339o3 Mini
LMArena Text: medicine and healthcare12521330o3 Mini
LMArena Text: legal and government12751328o3 Mini
LMArena Text: business and finance12321313o3 Mini
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4o (2024-08-06) and o3 Mini
BenchmarkGPT-4o (2024-08-06)o3 MiniLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
General benchmarks for GPT-4o (2024-08-06) and o3 Mini
BenchmarkGPT-4o (2024-08-06)o3 MiniLeader
IFBench36.0%67.1%o3 Mini
Long context reasoning (AA-LCR)41.0%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)Not measured61.7%Only o3 Mini measured
LMArena Text12831337o3 Mini
LMArena Text: instruction following12671337o3 Mini
LMArena Text: creative writing12741286o3 Mini
LMArena Vision1065Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Text: English12971351o3 Mini
LMArena Text: non-English12621319o3 Mini
LMArena Text: Chinese12541379o3 Mini
LMArena Text: German12571303o3 Mini
LMArena Text: Japanese12341286o3 Mini
LMArena Text: Korean12181313o3 Mini
LMArena Text: French12631334o3 Mini
LMArena Text: Spanish12691321o3 Mini
LMArena Text: Russian12721304o3 Mini
LMArena Text: PolishNot measured1294Only o3 Mini measured
LMArena Text: multi-turn12791320o3 Mini
LMArena Text: longer queries12831343o3 Mini
LMArena Text: writing and language12901313o3 Mini
LMArena Text: entertainment and media12671283o3 Mini
LMArena Vision: English1072Not measuredOnly GPT-4o (2024-08-06) measured
LMArena Vision: Chinese1009Not measuredOnly GPT-4o (2024-08-06) measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-08-06) and o3 Mini
BenchmarkGPT-4o (2024-08-06)o3 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 (2024-08-06)$0.0075Fits in one request
o3 Mini$0.0033Fits in one request

o3 Mini costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-08-06)$0.155Fits in one request
o3 Mini$0.068Fits in one request

o3 Mini costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-08-06)$0.600Exceeds the context window
o3 Mini$0.264Exceeds the context window

o3 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 (2024-08-06) and o3 Mini
SpecificationOpenAI GPT-4o (2024-08-06)OpenAI o3 Mini
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 6, 2024January 31, 2025
Context window128K200K
Input $/Mtok$2.50$1.10
Output $/Mtok$10.00$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-08-06) better than o3 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by Aider polyglot or SWE-bench Lite, where it leads.

Which is cheaper, GPT-4o (2024-08-06) or o3 Mini?

GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 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, GPT-4o (2024-08-06) or o3 Mini?

o3 Mini, with 200K tokens against 128K.

How many benchmarks is the GPT-4o (2024-08-06) vs o3 Mini comparison based on?

52 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-08-06)'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.

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