Enter opens the highlighted result. Esc closes.

Command A vs o1

Updated October 21, 2026. 48 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 o1
Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
8
o1OpenAI
Coding
No data
Overall
15.2
Output $/M
$60.00
40
vs boards won of 48 shared

Decision reading

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

Command A has the edge where output tokens cost 6.0x less, and where the context window is larger, 256K against 200K tokens.

Model ACommand ACohereNot benchmarked1 independent benchmark$2.69 per solved taskModel Bo1OpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
48
Command A only
12
o1 only
20
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, o1 not benchmarked.
Widest category
Math, 20.7 points apart on average over 5 shared benchmarks.
Widest single gap
AIME: Command A 13.3% against o1 71.5%, 58.1 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against o1 $60.00 per million output tokens, 6.0x apart.
Context window
Command A takes 256K tokens, o1 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 ABarso1Ties
Coding15
Intelligence01
Agentic work10
Reasoning24
Math05
Knowledge09
General416
All shared boards840
CodingLike-for-likeSix of these boards feed the Vibe Coding Index15
Coding benchmarks for Command A and o1
BenchmarkCommand Ao1Leader
Aider polyglotNot measured61.7%Only o1 measured
AA Coding Index27.839.7o1
LiveCodeBench (Vals AI)35.1%50.3%o1
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%67.9%o1
SciCode38.5%Not measuredOnly Command A measured
Terminal-Bench Hard (Artificial Analysis run)25.0%12.9%Command A
WeirdMLNot measured46.1%Only o1 measured
LMArena Text: coding13301367o1
LMArena Text: software and IT13361366o1
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 Command A and o1
BenchmarkCommand Ao1Leader
AA Intelligence Index13.115.2o1
Epoch Capabilities IndexNot measured141.7Only o1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Command A and o1
BenchmarkCommand Ao1Leader
AA Agentic Index1.0Not measuredOnly Command A measured
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%62.6%Command A
METR time horizonsNot measured51.1%Only o1 measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for Command A and o1
BenchmarkCommand Ao1Leader
GPQA Diamond48.5%73.2%o1
MMMU Pro (Vals AI)Not measured77.4%Only o1 measured
GPQA Diamond (Artificial Analysis run)76.1%74.7%Command A
Humanity's Last Exam (Artificial Analysis run)12.0%7.0%Command A
GPQA Diamond (Epoch AI run)Not measured76.8%Only o1 measured
ARC-AGINot measured30.7%Only o1 measured
SimpleBenchNot measured40.1%Only o1 measured
Chess puzzlesNot measured10.0%Only o1 measured
VPCTNot measured37.0%Only o1 measured
LMArena Text: hard prompts13261371o1
LMArena Text: expert12961361o1
LMArena Text: hard prompts in English13351372o1
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index05
Math benchmarks for Command A and o1
BenchmarkCommand Ao1Leader
AIME13.3%71.5%o1
MATH 500 (Vals AI)76.2%90.4%o1
MGSM (Vals AI)85.7%89.3%o1
AA Math Index13.0Not measuredOnly Command A measured
AIME 2025 (Artificial Analysis run)13.0%Not measuredOnly Command A measured
OTIS Mock AIMENot measured73.3%Only o1 measured
FrontierMath, tiers 1 to 3Not measured14.7%Only o1 measured
MATH level 5Not measured94.7%Only o1 measured
LMArena Text: math13001388o1
LMArena Text: mathematical work13121390o1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index09
Knowledge benchmarks for Command A and o1
BenchmarkCommand Ao1Leader
MMLU Pro69.2%83.5%o1
LegalBench (Vals AI)79.7%80.4%o1
CaseLaw (Vals AI)64.5%Not measuredOnly Command A measured
CorpFin (Vals AI)46.0%Not measuredOnly Command A measured
TaxEval (Vals AI)61.4%74.3%o1
MedQA (Vals AI)80.5%96.5%o1
MedCode (Vals AI)19.7%Not measuredOnly Command A measured
MMLU Pro (Artificial Analysis run)71.2%84.1%o1
SimpleQA VerifiedNot measured41.1%Only o1 measured
GeoBenchNot measured80.0%Only o1 measured
LMArena Text: science13391369o1
LMArena Text: medicine and healthcare13341355o1
LMArena Text: legal and government13481368o1
LMArena Text: business and finance13151328o1
Neither model has a result on the other 3 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Command A and o1
BenchmarkCommand Ao1Leader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index416
General benchmarks for Command A and o1
BenchmarkCommand Ao1Leader
MedScribe (Vals AI)55.7%Not measuredOnly Command A measured
IFBench73.9%70.3%Command A
Long context reasoning (AA-LCR)52.7%65.0%o1
DTBench61.3%74.7%o1
LMCA10.3%22.3%o1
Fiction.LiveBenchNot measured83.3%Only o1 measured
Creative writing (Lech Mazur)Not measured70.2%Only o1 measured
LMArena Text13311366o1
LMArena Text: instruction following13091367o1
LMArena Text: creative writing13191347o1
LMArena VisionNot measured1168Only o1 measured
LMArena Text: English13441372o1
LMArena Text: non-English13131358o1
LMArena Text: Chinese13271394o1
LMArena Text: German13421337Command A
LMArena Text: Japanese12851346o1
LMArena Text: Korean12851396o1
LMArena Text: French13511344Command A
LMArena Text: Spanish13471345Command A
LMArena Text: Russian13141356o1
LMArena Text: Polish1324Not measuredOnly Command A measured
LMArena Text: multi-turn13381355o1
LMArena Text: longer queries13341378o1
LMArena Text: writing and language13281360o1
LMArena Text: entertainment and media13061358o1
LMArena Vision: EnglishNot measured1162Only o1 measured
LMArena Vision: ChineseNot measured1235Only o1 measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command A and o1
BenchmarkCommand Ao1Leader
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
o1$0.045Fits in one request

Command A costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
o1$0.930Fits in one request

Command A costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
o1$3.60Exceeds the context window

Command A 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 o1
SpecificationCohere Command AOpenAI o1
MakerCohereOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025December 17, 2024
Context window256K200K
Input $/Mtok$2.50$15.00
Output $/Mtok$10.00$60.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$2.69Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than o1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Command A has the edge where output tokens cost 6.0x less, and where the context window is larger, 256K against 200K tokens.

Which is cheaper, Command A or o1?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; o1 costs $15.00 and $60.00. Cost per solved task is known for Command A only.

Which has the bigger context window, Command A or o1?

Command A, with 256K tokens against 200K.

How many benchmarks is the Command A vs o1 comparison based on?

48 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and o1's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next