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Command A vs GPT-4.1 Mini

Updated October 21, 2026. 52 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 GPT-4.1 Mini
Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
16
GPT-4.1 MiniOpenAI
Coding
No data
Overall
10.2
Output $/M
$1.60
36
vs boards won of 52 shared

Decision reading

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

Command A has the edge 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 BGPT-4.1 MiniOpenAINot benchmarkedNo coding benchmark$1.818 per solved task
Shared results
52
Command A only
8
GPT-4.1 Mini only
32
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, GPT-4.1 Mini not benchmarked.
Widest category
Agentic work, 27.8 points apart on average over 1 shared benchmark.
Widest single gap
AIME: Command A 13.3% against GPT-4.1 Mini 49.4%, 36.1 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against GPT-4.1 Mini $1.60 per million output tokens, 6.3x apart.
Context window
Command A takes 256K tokens, GPT-4.1 Mini 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-4.1 MiniTies
Coding24
Intelligence10
Agentic work10
Reasoning24
Math07
Knowledge46
General615
All shared boards1636
CodingLike-for-likeSix of these boards feed the Vibe Coding Index24
Coding benchmarks for Command A and GPT-4.1 Mini
BenchmarkCommand AGPT-4.1 MiniLeader
Aider polyglotNot measured32.4%Only GPT-4.1 Mini measured
SWE-bench VerifiedNot measured23.9%Only GPT-4.1 Mini measured
AA Coding Index27.820.2Command A
LiveCodeBench (Vals AI)35.1%58.2%GPT-4.1 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%48.3%GPT-4.1 Mini
SciCode38.5%Not measuredOnly Command A measured
Terminal-Bench Hard (Artificial Analysis run)25.0%7.6%Command A
WeirdMLNot measured37.6%Only GPT-4.1 Mini measured
LMArena Text: coding13301367GPT-4.1 Mini
LMArena Text: software and IT13361360GPT-4.1 Mini
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Command A and GPT-4.1 Mini
BenchmarkCommand AGPT-4.1 MiniLeader
AA Intelligence Index13.110.2Command A
Epoch Capabilities IndexNot measured134.9Only GPT-4.1 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Command A and GPT-4.1 Mini
BenchmarkCommand AGPT-4.1 MiniLeader
AA Agentic Index1.0Not measuredOnly Command A measured
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%52.9%Command A
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
Reasoning benchmarks for Command A and GPT-4.1 Mini
BenchmarkCommand AGPT-4.1 MiniLeader
GPQA Diamond48.5%67.9%GPT-4.1 Mini
MMMU Pro (Vals AI)Not measured70.5%Only GPT-4.1 Mini measured
GPQA Diamond (Artificial Analysis run)76.1%66.4%Command A
Humanity's Last Exam (Artificial Analysis run)12.0%5.0%Command A
GPQA Diamond (Epoch AI run)Not measured65.8%Only GPT-4.1 Mini measured
ARC-AGINot measured3.5%Only GPT-4.1 Mini measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Mini measured
Chess puzzlesNot measured1.0%Only GPT-4.1 Mini measured
Mystery game puzzlesNot measured7.0%Only GPT-4.1 Mini measured
LMArena Text: hard prompts13261349GPT-4.1 Mini
LMArena Text: expert12961338GPT-4.1 Mini
LMArena Text: hard prompts in English13351362GPT-4.1 Mini
LMArena Vision: diagramsNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: homeworkNot measured1214Only GPT-4.1 Mini measured
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 Mini
BenchmarkCommand AGPT-4.1 MiniLeader
AIME13.3%49.4%GPT-4.1 Mini
MATH 500 (Vals AI)76.2%88.0%GPT-4.1 Mini
MGSM (Vals AI)85.7%87.8%GPT-4.1 Mini
AA Math Index13.046.3GPT-4.1 Mini
AIME 2025 (Artificial Analysis run)13.0%46.3%GPT-4.1 Mini
OTIS Mock AIMENot measured44.7%Only GPT-4.1 Mini measured
FrontierMath, tiers 1 to 3Not measured6.7%Only GPT-4.1 Mini measured
MATH level 5Not measured87.3%Only GPT-4.1 Mini measured
LMArena Text: math13001343GPT-4.1 Mini
LMArena Text: mathematical work13121347GPT-4.1 Mini
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index46
Knowledge benchmarks for Command A and GPT-4.1 Mini
BenchmarkCommand AGPT-4.1 MiniLeader
MMLU Pro69.2%77.2%GPT-4.1 Mini
LegalBench (Vals AI)79.7%78.0%Command A
CaseLaw (Vals AI)64.5%Not measuredOnly Command A measured
CorpFin (Vals AI)46.0%57.9%GPT-4.1 Mini
TaxEval (Vals AI)61.4%71.9%GPT-4.1 Mini
MortgageTax (Vals AI)Not measured65.5%Only GPT-4.1 Mini measured
MedQA (Vals AI)80.5%84.6%GPT-4.1 Mini
MedCode (Vals AI)19.7%Not measuredOnly Command A measured
MMLU Pro (Artificial Analysis run)71.2%78.1%GPT-4.1 Mini
SimpleQA VerifiedNot measured12.7%Only GPT-4.1 Mini measured
LMArena Text: science13391328Command A
LMArena Text: medicine and healthcare13341324Command A
LMArena Text: legal and government13481343Command A
LMArena Text: business and finance13151322GPT-4.1 Mini
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 Command A and GPT-4.1 Mini
BenchmarkCommand AGPT-4.1 MiniLeader
Design Arena: websitesNot measured997Only GPT-4.1 Mini measured
Design Arena: UI componentsNot measured961Only GPT-4.1 Mini measured
Design Arena: game devNot measured1071Only GPT-4.1 Mini measured
Design Arena: data vizNot measured1034Only GPT-4.1 Mini measured
Design Arena: 3DNot measured837Only GPT-4.1 Mini measured
Design Arena: all code categoriesNot measured994Only GPT-4.1 Mini measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index615
General benchmarks for Command A and GPT-4.1 Mini
BenchmarkCommand AGPT-4.1 MiniLeader
MedScribe (Vals AI)55.7%Not measuredOnly Command A measured
IFBench73.9%38.3%Command A
Long context reasoning (AA-LCR)52.7%44.0%Command A
DTBench61.3%68.8%GPT-4.1 Mini
LMCA10.3%21.1%GPT-4.1 Mini
Fiction.LiveBenchNot measured44.4%Only GPT-4.1 Mini measured
LMArena Text13311341GPT-4.1 Mini
LMArena Text: instruction following13091333GPT-4.1 Mini
LMArena Text: creative writing13191299Command A
LMArena VisionNot measured1181Only GPT-4.1 Mini measured
LMArena Text: English13441356GPT-4.1 Mini
LMArena Text: non-English13131318GPT-4.1 Mini
LMArena Text: Chinese13271329GPT-4.1 Mini
LMArena Text: German13421350GPT-4.1 Mini
LMArena Text: Japanese12851290GPT-4.1 Mini
LMArena Text: Korean12851298GPT-4.1 Mini
LMArena Text: French13511358GPT-4.1 Mini
LMArena Text: Spanish13471319Command A
LMArena Text: Russian13141324GPT-4.1 Mini
LMArena Text: Polish13241326GPT-4.1 Mini
LMArena Text: multi-turn13381354GPT-4.1 Mini
LMArena Text: longer queries13341344GPT-4.1 Mini
LMArena Text: writing and language13281319Command A
LMArena Text: entertainment and media13061300Command A
LMArena Vision: EnglishNot measured1191Only GPT-4.1 Mini measured
LMArena Vision: ChineseNot measured1186Only GPT-4.1 Mini measured
LMArena Vision: reading textNot measured1188Only GPT-4.1 Mini measured
LMArena Vision: humorNot measured1182Only GPT-4.1 Mini measured
LMArena Vision: captioningNot measured1174Only GPT-4.1 Mini measured
LMArena Vision: recognizing thingsNot measured1187Only GPT-4.1 Mini measured
LMArena Vision: creative writingNot measured1182Only GPT-4.1 Mini 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 Mini
BenchmarkCommand AGPT-4.1 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
GPT-4.1 Mini$0.0012Fits in one request

GPT-4.1 Mini costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
GPT-4.1 Mini$0.025Fits in one request

GPT-4.1 Mini costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
GPT-4.1 Mini$0.096Fits in one request

GPT-4.1 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 GPT-4.1 Mini
SpecificationCohere Command AOpenAI GPT-4.1 Mini
MakerCohereOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025April 14, 2025
Context window256K1.05M
Input $/Mtok$2.50$0.40
Output $/Mtok$10.00$1.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$2.69$1.818
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than GPT-4.1 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Command A has the edge where what matters is LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.

Which is cheaper, Command A or GPT-4.1 Mini?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; GPT-4.1 Mini costs $0.40 and $1.60. Per solved SWE-bench Verified task, Command A costs $2.69 and GPT-4.1 Mini $1.818.

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

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

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

52 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 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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