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Command A vs o4 Mini

Updated October 21, 2026. 53 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Command A Replace o4 Mini
Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
9
o4 MiniOpenAI
Coding
No data
Overall
16.7
Output $/M
$4.40
44
vs boards won of 53 shared

Decision reading

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

Command A has the edge where the context window is larger, 256K against 200K tokens, and where what matters is LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Model ACommand ACohereNot benchmarked1 independent benchmark$2.69 per solved taskModel Bo4 MiniOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
53
Command A only
7
o4 Mini only
41
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
Command A not benchmarked, o4 Mini not benchmarked.
Widest category
Math, 39.6 points apart on average over 7 shared benchmarks.
Widest single gap
AA Math Index: Command A 13.0 against o4 Mini 90.7, 77.7 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against o4 Mini $4.40 per million output tokens, 2.3x apart.
Context window
Command A takes 256K 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
CategoryCommand ABarso4 MiniTies
Coding14
Intelligence01
Agentic work10
Reasoning06
Math07
Knowledge110
General616
All shared boards944
CodingLike-for-likeSix of these boards feed the Vibe Coding Index14
Coding benchmarks for Command A and o4 Mini
BenchmarkCommand Ao4 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 Index27.8Not measuredOnly Command A measured
LiveCodeBench (Vals AI)35.1%82.2%o4 Mini
SWE-bench Verified (Vals AI)7.8%Not measuredOnly Command A measured
Terminal-Bench 2.1 (Vals AI)17.6%Not measuredOnly Command A measured
LiveCodeBench (Artificial Analysis run)28.7%85.9%o4 Mini
SciCode38.5%Not measuredOnly Command A measured
Terminal-Bench Hard (Artificial Analysis run)25.0%15.2%Command A
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdMLNot measured52.6%Only o4 Mini measured
LMArena Text: coding13301368o4 Mini
LMArena Text: software and IT13361367o4 Mini
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Command A and o4 Mini
BenchmarkCommand Ao4 MiniLeader
AA Intelligence Index13.116.7o4 Mini
Epoch Capabilities IndexNot measured145.5Only o4 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Command A and o4 Mini
BenchmarkCommand Ao4 MiniLeader
AA Agentic Index1.0Not measuredOnly Command A measured
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%55.6%Command A
METR time horizonsNot measured63.9%Only o4 Mini measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Command A and o4 Mini
BenchmarkCommand Ao4 MiniLeader
GPQA Diamond48.5%74.5%o4 Mini
MMMU Pro (Vals AI)Not measured79.7%Only o4 Mini measured
GPQA Diamond (Artificial Analysis run)76.1%78.4%o4 Mini
Humanity's Last Exam (Artificial Analysis run)12.0%16.5%o4 Mini
GPQA Diamond (Epoch AI run)Not measured79.6%Only o4 Mini measured
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 prompts13261351o4 Mini
LMArena Text: expert12961343o4 Mini
LMArena Text: hard prompts in English13351366o4 Mini
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 index07
Math benchmarks for Command A and o4 Mini
BenchmarkCommand Ao4 MiniLeader
AIME13.3%83.7%o4 Mini
MATH 500 (Vals AI)76.2%94.2%o4 Mini
MGSM (Vals AI)85.7%93.4%o4 Mini
AA Math Index13.090.7o4 Mini
AIME 2025 (Artificial Analysis run)13.0%90.7%o4 Mini
OTIS Mock AIMENot measured81.7%Only o4 Mini measured
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
MATH level 5Not measured97.8%Only o4 Mini measured
LMArena Text: math13001389o4 Mini
LMArena Text: mathematical work13121379o4 Mini
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index110
Knowledge benchmarks for Command A and o4 Mini
BenchmarkCommand Ao4 MiniLeader
MMLU Pro69.2%80.6%o4 Mini
LegalBench (Vals AI)79.7%79.2%Command A
CaseLaw (Vals AI)64.5%Not measuredOnly Command A measured
CorpFin (Vals AI)46.0%59.0%o4 Mini
TaxEval (Vals AI)61.4%74.8%o4 Mini
MortgageTax (Vals AI)Not measured64.8%Only o4 Mini measured
MedQA (Vals AI)80.5%96.0%o4 Mini
MedCode (Vals AI)19.7%33.8%o4 Mini
MMLU Pro (Artificial Analysis run)71.2%83.2%o4 Mini
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science13391354o4 Mini
LMArena Text: medicine and healthcare13341361o4 Mini
LMArena Text: legal and government13481350o4 Mini
LMArena Text: business and finance13151325o4 Mini
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 Command A and o4 Mini
BenchmarkCommand Ao4 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 measured990Only 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 index616
General benchmarks for Command A and o4 Mini
BenchmarkCommand Ao4 MiniLeader
SAGE (Vals AI)Not measured41.1%Only o4 Mini measured
MedScribe (Vals AI)55.7%69.1%o4 Mini
IFBench73.9%68.7%Command A
Long context reasoning (AA-LCR)52.7%61.0%o4 Mini
DTBench61.3%77.6%o4 Mini
LMCA10.3%26.5%o4 Mini
Fiction.LiveBenchNot measured77.8%Only o4 Mini measured
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
LMArena Text13311353o4 Mini
LMArena Text: instruction following13091320o4 Mini
LMArena Text: creative writing13191294Command A
LMArena VisionNot measured1194Only o4 Mini measured
LMArena Text: English13441367o4 Mini
LMArena Text: non-English13131337o4 Mini
LMArena Text: Chinese13271354o4 Mini
LMArena Text: German13421336Command A
LMArena Text: Japanese12851308o4 Mini
LMArena Text: Korean12851312o4 Mini
LMArena Text: French13511364o4 Mini
LMArena Text: Spanish13471346Command A
LMArena Text: Russian13141334o4 Mini
LMArena Text: Polish13241358o4 Mini
LMArena Text: multi-turn13381350o4 Mini
LMArena Text: longer queries13341315Command A
LMArena Text: writing and language13281316Command A
LMArena Text: entertainment and media13061308o4 Mini
LMArena Vision: EnglishNot measured1200Only o4 Mini measured
LMArena Vision: ChineseNot measured1218Only o4 Mini measured
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 Command A and o4 Mini
BenchmarkCommand Ao4 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

Command A$0.0075Fits in one request
o4 Mini$0.0033Fits in one request

o4 Mini costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
o4 Mini$0.068Fits in one request

o4 Mini costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
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 Command A and o4 Mini
SpecificationCohere Command AOpenAI o4 Mini
MakerCohereOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025April 16, 2025
Context window256K200K
Input $/Mtok$2.50$1.10
Output $/Mtok$10.00$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$2.69Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than o4 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Command A has the edge where the context window is larger, 256K against 200K tokens, and where what matters is LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Command A or o4 Mini?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for Command A only.

Which has the bigger context window, Command A or o4 Mini?

Command A, with 256K tokens against 200K.

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

53 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark 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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