LLMBenchmark.ai

Enter opens the highlighted result. Esc closes.

o1 vs o4 Mini

Updated October 21, 2026. 67 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace o1 Replace o4 Mini
o1OpenAI
Coding
61.7
Overall
15.2
Output $/M
$60.00
33
o4 MiniOpenAI
Coding
68.6
Overall
16.7
Output $/M
$4.40
34
vs boards won of 67 shared

Decision reading

Pick o4 Mini for coding: it scores 68.6 on the Vibe Coding Index against 61.7 for o1.

Pick o1 when what matters is τ²-Bench Telecom or SimpleBench, where it leads.

Model Ao1OpenAI61.7/1001 independent benchmarkNo cost per solved taskModel Bo4 MiniOpenAI68.6/1002 independent benchmarksNo cost per solved task
Shared results
67
o1 only
1
o4 Mini only
27
Like-for-like categories
7 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
o1 61.7 from 1 benchmark, o4 Mini 68.6 from 2 benchmarks.
Widest category
Agentic work, 9.9 points apart on average over 2 shared benchmarks.
Widest single gap
LiveCodeBench (Vals AI): o1 50.3% against o4 Mini 82.2%, 32.0 points apart on a 0 to 100 scale.
Output price
o1 $60.00 against o4 Mini $4.40 per million output tokens, 13.6x apart.
Context window
Both take 200K tokens.

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
Categoryo1Barso4 MiniTies
Coding07
Intelligence02
Agentic work11
Reasoning48
Math17
Knowledge92
General187
All shared boards3334
CodingLike-for-likeFour of these boards feed the Vibe Coding Index07
Coding benchmarks for o1 and o4 Mini
Benchmarko1o4 MiniLeader
Aider polyglot61.7%72.0%o4 Mini
SWE-bench VerifiedNot measured64.6%Only o4 Mini measured
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
AA Coding Index39.7Not measuredOnly o1 measured
LiveCodeBench (Vals AI)50.3%82.2%o4 Mini
LiveCodeBench (Artificial Analysis run)67.9%85.9%o4 Mini
Terminal-Bench Hard (Artificial Analysis run)12.9%15.2%o4 Mini
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdML46.1%52.6%o4 Mini
LMArena Text: coding13671368o4 Mini
LMArena Text: software and IT13661367o4 Mini
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for o1 and o4 Mini
Benchmarko1o4 MiniLeader
AA Intelligence Index15.216.7o4 Mini
Epoch Capabilities Index141.7145.5o4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for o1 and o4 Mini
Benchmarko1o4 MiniLeader
τ²-Bench Telecom62.6%55.6%o1
METR time horizons51.1%63.9%o4 Mini
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index48
Reasoning benchmarks for o1 and o4 Mini
Benchmarko1o4 MiniLeader
GPQA Diamond73.2%74.5%o4 Mini
MMMU Pro (Vals AI)77.4%79.7%o4 Mini
GPQA Diamond (Artificial Analysis run)74.7%78.4%o4 Mini
Humanity's Last Exam (Artificial Analysis run)7.0%16.5%o4 Mini
GPQA Diamond (Epoch AI run)76.8%79.6%o4 Mini
ARC-AGI30.7%58.7%o4 Mini
ARC-AGI-2Not measured6.1%Only o4 Mini measured
SimpleBench40.1%38.7%o1
Chess puzzles10.0%22.0%o4 Mini
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCT37.0%57.5%o4 Mini
LMArena Text: hard prompts13711351o1
LMArena Text: expert13611343o1
LMArena Text: hard prompts in English13721366o1
LMArena Vision: diagramsNot measured1197Only o4 Mini measured
LMArena Vision: homeworkNot measured1234Only 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 index17
Math benchmarks for o1 and o4 Mini
Benchmarko1o4 MiniLeader
AIME71.5%83.7%o4 Mini
MATH 500 (Vals AI)90.4%94.2%o4 Mini
MGSM (Vals AI)89.3%93.4%o4 Mini
AA Math IndexNot measured90.7Only o4 Mini measured
AIME 2025 (Artificial Analysis run)Not measured90.7%Only o4 Mini measured
OTIS Mock AIME73.3%81.7%o4 Mini
FrontierMath, tiers 1 to 314.7%36.1%o4 Mini
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
MATH level 594.7%97.8%o4 Mini
LMArena Text: math13881389o4 Mini
LMArena Text: mathematical work13901379o1
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index92
Knowledge benchmarks for o1 and o4 Mini
Benchmarko1o4 MiniLeader
MMLU Pro83.5%80.6%o1
LegalBench (Vals AI)80.4%79.2%o1
CorpFin (Vals AI)Not measured59.0%Only o4 Mini measured
TaxEval (Vals AI)74.3%74.8%o4 Mini
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)96.5%96.0%o1
MedCode (Vals AI)Not measured33.8%Only o4 Mini measured
MMLU Pro (Artificial Analysis run)84.1%83.2%o1
SimpleQA Verified41.1%19.6%o1
GeoBench80.0%64.0%o1
LMArena Text: science13691354o1
LMArena Text: medicine and healthcare13551361o4 Mini
LMArena Text: legal and government13681350o1
LMArena Text: business and finance13281325o1
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for o1 and o4 Mini
Benchmarko1o4 MiniLeader
Design Arena: websitesNot measured985Only o4 Mini measured
Design Arena: UI componentsNot measured983Only o4 Mini measured
Design Arena: game devNot measured1004Only o4 Mini measured
Design Arena: data vizNot measured990Only o4 Mini measured
Design Arena: 3DNot measured854Only o4 Mini measured
Design Arena: all code categoriesNot measured977Only 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 index187
General benchmarks for o1 and o4 Mini
Benchmarko1o4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)Not measured69.1%Only o4 Mini measured
IFBench70.3%68.7%o1
Long context reasoning (AA-LCR)65.0%61.0%o1
DTBench74.7%77.6%o4 Mini
LMCA22.3%26.5%o4 Mini
Fiction.LiveBench83.3%77.8%o1
Creative writing (Lech Mazur)70.2%75.0%o4 Mini
LMArena Text13661353o1
LMArena Text: instruction following13671320o1
LMArena Text: creative writing13471294o1
LMArena Vision11681194o4 Mini
LMArena Text: English13721367o1
LMArena Text: non-English13581337o1
LMArena Text: Chinese13941354o1
LMArena Text: German13371336o1
LMArena Text: Japanese13461308o1
LMArena Text: Korean13961312o1
LMArena Text: French13441364o4 Mini
LMArena Text: Spanish13451346o4 Mini
LMArena Text: Russian13561334o1
LMArena Text: PolishNot measured1358Only o4 Mini measured
LMArena Text: multi-turn13551350o1
LMArena Text: longer queries13781315o1
LMArena Text: writing and language13601316o1
LMArena Text: entertainment and media13581308o1
LMArena Vision: English11621200o4 Mini
LMArena Vision: Chinese12351218o1
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 o1 and o4 Mini
Benchmarko1o4 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

o1$0.045Fits in one request
o4 Mini$0.0033Fits in one request

o4 Mini costs less

Repository review

50K input + 3K output tokens

o1$0.930Fits in one request
o4 Mini$0.068Fits in one request

o4 Mini costs less

Agent loop

200K input + 10K output tokens

o1$3.60Exceeds 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 o1 and o4 Mini
SpecificationOpenAI o1OpenAI o4 Mini
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedDecember 17, 2024April 16, 2025
Context window200K200K
Input $/Mtok$15.00$1.10
Output $/Mtok$60.00$4.40
Coding index61.768.6
Independent measurements behind it12
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is o1 better than o4 Mini for coding?

Pick o4 Mini for coding: it scores 68.6 on the Vibe Coding Index against 61.7 for o1. Pick o1 when what matters is τ²-Bench Telecom or SimpleBench, where it leads.

Which is cheaper, o1 or o4 Mini?

o1 costs $15.00 per million input tokens and $60.00 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, o1 or o4 Mini?

Neither: both take 200K tokens.

How many benchmarks is the o1 vs o4 Mini comparison based on?

67 benchmarks have a result for both models as of October 21, 2026. o1's coding index rests on 1 independent benchmark and o4 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next