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Command A vs GPT-5 Mini

GPT-5 Mini leads Command A on the Artificial Analysis Intelligence Index, 20.6 to 13.1, and GPT-5 Mini costs 5.0x less per output token ($2.00 vs $10.00 per million). Updated October 21, 2026; 58 benchmarks have a result for both.

Replace Command A Replace GPT-5 Mini
Command ACohere
Coding
No data
Overall
No data
Output $/M
$10.00
1
GPT-5 MiniOpenAI
Coding
34.2
Overall
43.7
Output $/M
$2.00
57
vs boards won of 58 shared

Command A or GPT-5 Mini: which to pick

Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.

Pick Command A for work measured by τ²-Bench Telecom, where it leads.

Model ACommand ACohereNot benchmarked1 independent benchmark$2.69 per solved taskModel BGPT-5 MiniOpenAI34.2/1002 independent benchmarks$0.08 per solved task
Shared results
58
Command A only
4
GPT-5 Mini only
43
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-5 Mini 34.2 from 2 benchmarks.
Widest category
Math, 40.5 points apart on average over 7 shared benchmarks.
Widest single gap
AIME: Command A 13.3% against GPT-5 Mini 91.5%, 78.1 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against GPT-5 Mini $2.00 per million output tokens, 5.0x apart.
Context window
Command A takes 256K tokens, GPT-5 Mini 400K.

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-5 MiniTies
Coding07
Intelligence01
Agentic work11
Reasoning07
Math07
Knowledge012
General022
All shared boards157
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Command A and GPT-5 Mini
BenchmarkCommand AGPT-5 MiniLeader
SWE-bench VerifiedNot measured59.8%Only GPT-5 Mini measured
SWE-bench MultilingualNot measured39.7%Only GPT-5 Mini measured
AA Coding Index27.8Not measuredOnly Command A measured
LiveCodeBench (Vals AI)35.1%86.6%GPT-5 Mini
SWE-bench Verified (Vals AI)7.8%60.8%GPT-5 Mini
Vibe Code Bench (Vals AI)Not measured14.2%Only GPT-5 Mini measured
Terminal-Bench 2.1 (Vals AI)17.6%Not measuredOnly Command A measured
LiveCodeBench (Artificial Analysis run)28.7%83.8%GPT-5 Mini
SciCode38.5%39.0%GPT-5 Mini
Terminal-Bench Hard (Artificial Analysis run)25.0%33.3%GPT-5 Mini
Terminal-BenchNot measured34.8%Only GPT-5 Mini measured
WeirdMLNot measured52.7%Only GPT-5 Mini measured
LMArena Text: coding13301406GPT-5 Mini
LMArena Text: software and IT13361394GPT-5 Mini
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Command A and GPT-5 Mini
BenchmarkCommand AGPT-5 MiniLeader
AA Intelligence Index13.120.6GPT-5 Mini
Epoch Capabilities IndexNot measured145.3Only GPT-5 Mini measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
Agentic work benchmarks for Command A and GPT-5 Mini
BenchmarkCommand AGPT-5 MiniLeader
AA Agentic Index1.0Not measuredOnly Command A measured
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%71.1%Command A
Vending-Bench 2Not measured-$31Only GPT-5 Mini measured
Berkeley Function Calling Leaderboard (BFCL)46.5%55.5%GPT-5 Mini
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index07
Reasoning benchmarks for Command A and GPT-5 Mini
BenchmarkCommand AGPT-5 MiniLeader
GPQA Diamond48.5%80.3%GPT-5 Mini
MMMU Pro (Vals AI)Not measured78.9%Only GPT-5 Mini measured
GPQA Diamond (Artificial Analysis run)76.1%82.8%GPT-5 Mini
Humanity's Last Exam (Artificial Analysis run)12.0%21.5%GPT-5 Mini
GPQA Diamond (Epoch AI run)Not measured75.0%Only GPT-5 Mini measured
ARC-AGINot measured54.3%Only GPT-5 Mini measured
ARC-AGI-2Not measured4.4%Only GPT-5 Mini measured
Chess puzzlesNot measured24.0%Only GPT-5 Mini measured
Mystery game puzzlesNot measured10.0%Only GPT-5 Mini measured
VPCTNot measured40.2%Only GPT-5 Mini measured
LMArena Text: hard prompts13261380GPT-5 Mini
LMArena Text: expert12961379GPT-5 Mini
LMArena Text: hard prompts in English13351383GPT-5 Mini
LMArena Vision: diagramsNot measured1202Only GPT-5 Mini measured
LMArena Vision: homeworkNot measured1210Only GPT-5 Mini measured
Kagi LLM Benchmark28.8%70.3%GPT-5 Mini
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index07
Math benchmarks for Command A and GPT-5 Mini
BenchmarkCommand AGPT-5 MiniLeader
AIME13.3%91.5%GPT-5 Mini
MATH 500 (Vals AI)76.2%94.8%GPT-5 Mini
MGSM (Vals AI)85.7%92.6%GPT-5 Mini
AA Math Index13.090.7GPT-5 Mini
AIME 2025 (Artificial Analysis run)13.0%90.7%GPT-5 Mini
OTIS Mock AIMENot measured86.7%Only GPT-5 Mini measured
FrontierMath, tiers 1 to 3Not measured46.7%Only GPT-5 Mini measured
FrontierMath, tier 4Not measured12.2%Only GPT-5 Mini measured
ProofBenchNot measured9.0%Only GPT-5 Mini measured
MATH level 5Not measured97.8%Only GPT-5 Mini measured
LMArena Text: math13001378GPT-5 Mini
LMArena Text: mathematical work13121380GPT-5 Mini
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index012
Knowledge benchmarks for Command A and GPT-5 Mini
BenchmarkCommand AGPT-5 MiniLeader
MMLU Pro69.2%82.2%GPT-5 Mini
LegalBench (Vals AI)79.7%81.8%GPT-5 Mini
CaseLaw (Vals AI)64.5%68.5%GPT-5 Mini
CorpFin (Vals AI)46.0%60.2%GPT-5 Mini
TaxEval (Vals AI)61.4%75.2%GPT-5 Mini
MortgageTax (Vals AI)Not measured66.9%Only GPT-5 Mini measured
MedQA (Vals AI)80.5%96.1%GPT-5 Mini
MedCode (Vals AI)19.7%43.0%GPT-5 Mini
MMLU Pro (Artificial Analysis run)71.2%83.7%GPT-5 Mini
SimpleQA VerifiedNot measured21.6%Only GPT-5 Mini measured
LMArena Text: science13391371GPT-5 Mini
LMArena Text: medicine and healthcare13341380GPT-5 Mini
LMArena Text: legal and government13481375GPT-5 Mini
LMArena Text: business and finance13151358GPT-5 Mini
FACTS Benchmark SuiteNot measured38.6%Only GPT-5 Mini measured
Neither model has a result on the other 3 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Command A and GPT-5 Mini
BenchmarkCommand AGPT-5 MiniLeader
Design Arena: websitesNot measured1125Only GPT-5 Mini measured
Design Arena: UI componentsNot measured1106Only GPT-5 Mini measured
Design Arena: game devNot measured1130Only GPT-5 Mini measured
Design Arena: data vizNot measured1130Only GPT-5 Mini measured
Design Arena: 3DNot measured1037Only GPT-5 Mini measured
Design Arena: all code categoriesNot measured1115Only GPT-5 Mini measured
Design Arena: SVGNot measured1091Only GPT-5 Mini measured
Design Arena: ASCII artNot measured1125Only GPT-5 Mini measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index022
General benchmarks for Command A and GPT-5 Mini
BenchmarkCommand AGPT-5 MiniLeader
SAGE (Vals AI)Not measured43.0%Only GPT-5 Mini measured
MedScribe (Vals AI)55.7%80.6%GPT-5 Mini
IFBench73.9%75.4%GPT-5 Mini
Long context reasoning (AA-LCR)52.7%72.3%GPT-5 Mini
DTBench61.3%80.5%GPT-5 Mini
LMCA10.3%34.2%GPT-5 Mini
Fiction.LiveBenchNot measured69.4%Only GPT-5 Mini measured
Creative writing (Lech Mazur)Not measured83.1%Only GPT-5 Mini measured
LMArena Text13311373GPT-5 Mini
LMArena Text: instruction following13091357GPT-5 Mini
LMArena Text: creative writing13191325GPT-5 Mini
LMArena VisionNot measured1202Only GPT-5 Mini measured
LMArena Text: English13441379GPT-5 Mini
LMArena Text: non-English13131363GPT-5 Mini
LMArena Text: Chinese13271386GPT-5 Mini
LMArena Text: German13421366GPT-5 Mini
LMArena Text: Japanese12851341GPT-5 Mini
LMArena Text: Korean12851308GPT-5 Mini
LMArena Text: French13511386GPT-5 Mini
LMArena Text: Spanish13471354GPT-5 Mini
LMArena Text: Russian13141362GPT-5 Mini
LMArena Text: Polish13241378GPT-5 Mini
LMArena Text: multi-turn13381363GPT-5 Mini
LMArena Text: longer queries13341355GPT-5 Mini
LMArena Text: writing and language13281344GPT-5 Mini
LMArena Text: entertainment and media13061340GPT-5 Mini
LMArena Vision: EnglishNot measured1216Only GPT-5 Mini measured
LMArena Vision: ChineseNot measured1214Only GPT-5 Mini measured
LMArena Vision: reading textNot measured1199Only GPT-5 Mini measured
LMArena Vision: humorNot measured1205Only GPT-5 Mini measured
LMArena Vision: captioningNot measured1217Only GPT-5 Mini measured
LMArena Vision: recognizing thingsNot measured1226Only GPT-5 Mini measured
LMArena Vision: creative writingNot measured1181Only GPT-5 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 GPT-5 Mini
BenchmarkCommand AGPT-5 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-5 Mini$0.0013Fits in one request

GPT-5 Mini costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
GPT-5 Mini$0.018Fits in one request

GPT-5 Mini costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
GPT-5 Mini$0.070Fits in one request

GPT-5 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-5 Mini
SpecificationCohere Command AOpenAI GPT-5 Mini
MakerCohereOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025August 7, 2025
Context window256K400K
Input $/Mtok$2.50$0.25
Output $/Mtok$10.00$2.00
Coding indexNot benchmarked34.2
Independent measurements behind it12
Cost per solved task$2.69$0.08
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than GPT-5 Mini for coding?

Only GPT-5 Mini has a coding score, 34.2 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Pick Command A for work measured by τ²-Bench Telecom, where it leads.

Which is cheaper, Command A or GPT-5 Mini?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; GPT-5 Mini costs $0.25 and $2.00. Per solved SWE-bench Verified task, Command A costs $2.69 and GPT-5 Mini $0.08.

Which has the bigger context window, Command A or GPT-5 Mini?

GPT-5 Mini, with 400K tokens against 256K.

How many benchmarks is the Command A vs GPT-5 Mini comparison based on?

58 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and GPT-5 Mini's on 2. Where only one model has a result, the page says so instead of naming a winner.

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