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Command A vs GPT-4.1

Command A leads GPT-4.1 on the Artificial Analysis Intelligence Index, 13.1 to 12.7, and GPT-4.1 costs 1.3x less per output token ($8.00 vs $10.00 per million). Updated October 21, 2026; 54 benchmarks have a result for both.

Replace Command A Replace GPT-4.1
Command ACohere
Coding
No data
Overall
No data
Output $/M
$10.00
6
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
48
vs boards won of 54 shared

Command A or GPT-4.1: which to pick

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

Pick Command A for work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Model ACommand ACohereNot benchmarked1 independent benchmark$2.69 per solved taskModel BGPT-4.1OpenAINot benchmarkedNo coding benchmark$0.37 per solved task
Shared results
54
Command A only
8
GPT-4.1 only
38
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
Command A not benchmarked, GPT-4.1 not benchmarked.
Widest category
Agentic work, 20.5 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Command A 80.7% against GPT-4.1 47.1%, 33.6 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against GPT-4.1 $8.00 per million output tokens, 1.3x apart.
Context window
Command A takes 256K tokens, GPT-4.1 1.05M.

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 ABarsGPT-4.1Ties
Coding14
Intelligence10
Agentic work11
Reasoning25
Math07
Knowledge011
General120
All shared boards648
CodingLike-for-likeSix of these boards feed the Vibe Coding Index14
Coding benchmarks for Command A and GPT-4.1
BenchmarkCommand AGPT-4.1Leader
Aider polyglotNot measured52.4%Only GPT-4.1 measured
SWE-bench VerifiedNot measured39.6%Only GPT-4.1 measured
SWE-bench MultimodalNot measured31.1%Only GPT-4.1 measured
AA Coding Index27.8Not measuredOnly Command A measured
LiveCodeBench (Vals AI)35.1%54.7%GPT-4.1
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%45.7%GPT-4.1
SciCode38.5%Not measuredOnly Command A measured
Terminal-Bench Hard (Artificial Analysis run)25.0%13.6%Command A
WeirdMLNot measured39.0%Only GPT-4.1 measured
ALE-BenchNot measured558.1Only GPT-4.1 measured
LMArena Text: coding13301390GPT-4.1
LMArena Text: software and IT13361391GPT-4.1
SciCodeNot measured4.6%Only GPT-4.1 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Command A and GPT-4.1
BenchmarkCommand AGPT-4.1Leader
AA Intelligence Index13.112.7Command A
Epoch Capabilities IndexNot measured136.7Only GPT-4.1 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Command A and GPT-4.1
BenchmarkCommand AGPT-4.1Leader
AA Agentic Index1.0Not measuredOnly Command A measured
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%47.1%Command A
Berkeley Function Calling Leaderboard (BFCL)46.5%54.0%GPT-4.1
BrowseComp-PlusNot measured36.4%Only GPT-4.1 measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index25
Reasoning benchmarks for Command A and GPT-4.1
BenchmarkCommand AGPT-4.1Leader
GPQA Diamond48.5%65.4%GPT-4.1
MMMU Pro (Vals AI)Not measured72.4%Only GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)76.1%66.6%Command A
Humanity's Last Exam (Artificial Analysis run)12.0%4.2%Command A
GPQA Diamond (Epoch AI run)Not measured66.9%Only GPT-4.1 measured
ARC-AGINot measured5.5%Only GPT-4.1 measured
ARC-AGI-2Not measured0.4%Only GPT-4.1 measured
SimpleBenchNot measured27.0%Only GPT-4.1 measured
Chess puzzlesNot measured3.0%Only GPT-4.1 measured
LMArena Text: hard prompts13261384GPT-4.1
LMArena Text: expert12961364GPT-4.1
LMArena Text: hard prompts in English13351393GPT-4.1
LMArena Vision: diagramsNot measured1215Only GPT-4.1 measured
LMArena Vision: homeworkNot measured1248Only GPT-4.1 measured
Kagi LLM Benchmark28.8%52.3%GPT-4.1
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index07
Math benchmarks for Command A and GPT-4.1
BenchmarkCommand AGPT-4.1Leader
AIME13.3%39.6%GPT-4.1
MATH 500 (Vals AI)76.2%87.2%GPT-4.1
MGSM (Vals AI)85.7%87.7%GPT-4.1
AA Math Index13.034.7GPT-4.1
AIME 2025 (Artificial Analysis run)13.0%34.7%GPT-4.1
OTIS Mock AIMENot measured38.3%Only GPT-4.1 measured
FrontierMath, tiers 1 to 3Not measured6.0%Only GPT-4.1 measured
MATH level 5Not measured83.0%Only GPT-4.1 measured
LMArena Text: math13001369GPT-4.1
LMArena Text: mathematical work13121360GPT-4.1
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011
Knowledge benchmarks for Command A and GPT-4.1
BenchmarkCommand AGPT-4.1Leader
MMLU Pro69.2%80.5%GPT-4.1
LegalBench (Vals AI)79.7%83.1%GPT-4.1
CaseLaw (Vals AI)64.5%69.9%GPT-4.1
CorpFin (Vals AI)46.0%63.0%GPT-4.1
TaxEval (Vals AI)61.4%75.1%GPT-4.1
MortgageTax (Vals AI)Not measured65.9%Only GPT-4.1 measured
MedQA (Vals AI)80.5%91.2%GPT-4.1
MedCode (Vals AI)19.7%Not measuredOnly Command A measured
MMLU Pro (Artificial Analysis run)71.2%80.6%GPT-4.1
SimpleQA VerifiedNot measured31.1%Only GPT-4.1 measured
GeoBenchNot measured72.0%Only GPT-4.1 measured
LMArena Text: science13391382GPT-4.1
LMArena Text: medicine and healthcare13341379GPT-4.1
LMArena Text: legal and government13481399GPT-4.1
LMArena Text: business and finance13151369GPT-4.1
FACTS Benchmark SuiteNot measured45.8%Only GPT-4.1 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 Command A and GPT-4.1
BenchmarkCommand AGPT-4.1Leader
Design Arena: websitesNot measured1039Only GPT-4.1 measured
Design Arena: UI componentsNot measured1000Only GPT-4.1 measured
Design Arena: game devNot measured1080Only GPT-4.1 measured
Design Arena: data vizNot measured1104Only GPT-4.1 measured
Design Arena: 3DNot measured850Only GPT-4.1 measured
Design Arena: all code categoriesNot measured1026Only GPT-4.1 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index120
General benchmarks for Command A and GPT-4.1
BenchmarkCommand AGPT-4.1Leader
MedScribe (Vals AI)55.7%Not measuredOnly Command A measured
IFBench73.9%43.0%Command A
Long context reasoning (AA-LCR)52.7%68.3%GPT-4.1
DTBench61.3%68.3%GPT-4.1
LMCA10.3%25.6%GPT-4.1
Fiction.LiveBenchNot measured63.9%Only GPT-4.1 measured
LMArena Text13311383GPT-4.1
LMArena Text: instruction following13091367GPT-4.1
LMArena Text: creative writing13191363GPT-4.1
LMArena VisionNot measured1210Only GPT-4.1 measured
LMArena Text: English13441392GPT-4.1
LMArena Text: non-English13131370GPT-4.1
LMArena Text: Chinese13271382GPT-4.1
LMArena Text: German13421381GPT-4.1
LMArena Text: Japanese12851319GPT-4.1
LMArena Text: Korean12851338GPT-4.1
LMArena Text: French13511382GPT-4.1
LMArena Text: Spanish13471376GPT-4.1
LMArena Text: Russian13141377GPT-4.1
LMArena Text: Polish13241389GPT-4.1
LMArena Text: multi-turn13381397GPT-4.1
LMArena Text: longer queries13341385GPT-4.1
LMArena Text: writing and language13281371GPT-4.1
LMArena Text: entertainment and media13061365GPT-4.1
LMArena Vision: EnglishNot measured1209Only GPT-4.1 measured
LMArena Vision: ChineseNot measured1226Only GPT-4.1 measured
LMArena Vision: reading textNot measured1218Only GPT-4.1 measured
LMArena Vision: humorNot measured1196Only GPT-4.1 measured
LMArena Vision: captioningNot measured1207Only GPT-4.1 measured
LMArena Vision: recognizing thingsNot measured1208Only GPT-4.1 measured
LMArena Vision: creative writingNot measured1210Only GPT-4.1 measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command A and GPT-4.1
BenchmarkCommand AGPT-4.1Leader
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
GPT-4.1$0.0060Fits in one request

GPT-4.1 costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
GPT-4.1$0.124Fits in one request

GPT-4.1 costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
GPT-4.1$0.480Fits in one request

GPT-4.1 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 GPT-4.1
SpecificationCohere Command AOpenAI GPT-4.1
MakerCohereOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025April 14, 2025
Context window256K1.05M
Input $/Mtok$2.50$2.00
Output $/Mtok$10.00$8.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$2.69$0.37
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than GPT-4.1 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command A for work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Command A or GPT-4.1?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Per solved SWE-bench Verified task, Command A costs $2.69 and GPT-4.1 $0.37.

Which has the bigger context window, Command A or GPT-4.1?

GPT-4.1, with 1.05M tokens against 256K.

How many benchmarks is the Command A vs GPT-4.1 comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and GPT-4.1's on 0. Where only one model has a result, the page says so instead of naming a winner.

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