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Command A vs GPT-5

Updated October 21, 2026. 56 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-5
Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
1
GPT-5OpenAI
Coding
38.8
Overall
23.0
Output $/M
$10.00
55
vs boards won of 56 shared

Decision reading

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding.

Command A has the edge where the benchmark that matters is IFBench, where it leads.

Model ACommand ACohereNot benchmarked1 independent benchmark$2.69 per solved taskModel BGPT-5OpenAI38.8/1003 independent benchmarks$0.39 per solved task
Shared results
56
Command A only
4
GPT-5 only
53
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-5 38.8 from 3 benchmarks.
Widest category
Math, 43.3 points apart on average over 7 shared benchmarks.
Widest single gap
AIME 2025 (Artificial Analysis run): Command A 13.0% against GPT-5 94.3%, 81.3 points apart on a 0 to 100 scale.
Output price
Both cost $10.00 per million output tokens.
Context window
Command A takes 256K tokens, GPT-5 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-5Ties
Coding07
Intelligence01
Agentic work01
Reasoning06
Math07
Knowledge012
General121
All shared boards155
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
Coding benchmarks for Command A and GPT-5
BenchmarkCommand AGPT-5Leader
Aider polyglotNot measured88.0%Only GPT-5 measured
SWE-bench VerifiedNot measured74.4%Only GPT-5 measured
LMArena WebDevNot measured1418Only GPT-5 measured
AA Coding Index27.837.8GPT-5
LiveCodeBench (Vals AI)35.1%85.9%GPT-5
SWE-bench Verified (Vals AI)7.8%69.0%GPT-5
Vibe Code Bench (Vals AI)Not measured20.1%Only GPT-5 measured
Terminal-Bench 2.1 (Vals AI)17.6%Not measuredOnly Command A measured
LiveCodeBench (Artificial Analysis run)28.7%84.6%GPT-5
SciCode38.5%Not measuredOnly Command A measured
Terminal-Bench Hard (Artificial Analysis run)25.0%37.9%GPT-5
Terminal-BenchNot measured49.6%Only GPT-5 measured
GSO-BenchNot measured6.9%Only GPT-5 measured
WeirdMLNot measured60.7%Only GPT-5 measured
ALE-BenchNot measured807.6Only GPT-5 measured
LMArena Text: coding13301436GPT-5
LMArena Text: software and IT13361420GPT-5
LMArena WebDev: HTMLNot measured1427Only GPT-5 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Command A and GPT-5
BenchmarkCommand AGPT-5Leader
AA Intelligence Index13.123.0GPT-5
Epoch Capabilities IndexNot measured150.0Only GPT-5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Command A and GPT-5
BenchmarkCommand AGPT-5Leader
AA Agentic Index1.0Not measuredOnly Command A measured
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%86.5%GPT-5
METR time horizonsNot measured69.6%Only GPT-5 measured
Remote Labor IndexNot measured1.7%Only GPT-5 measured
GDPvalNot measured34.8%Only GPT-5 measured
BALROGNot measured32.8%Only GPT-5 measured
DeepResearch BenchNot measured49.6%Only GPT-5 measured
Neither model has a result on the other 31 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
Reasoning benchmarks for Command A and GPT-5
BenchmarkCommand AGPT-5Leader
GPQA Diamond48.5%85.6%GPT-5
MMMU Pro (Vals AI)Not measured81.5%Only GPT-5 measured
GPQA Diamond (Artificial Analysis run)76.1%85.4%GPT-5
Humanity's Last Exam (Artificial Analysis run)12.0%28.5%GPT-5
GPQA Diamond (Epoch AI run)Not measured86.2%Only GPT-5 measured
ARC-AGINot measured65.7%Only GPT-5 measured
ARC-AGI-2Not measured9.9%Only GPT-5 measured
SimpleBenchNot measured56.7%Only GPT-5 measured
Chess puzzlesNot measured36.0%Only GPT-5 measured
Mystery game puzzlesNot measured23.0%Only GPT-5 measured
EBR-benchNot measured12.7%Only GPT-5 measured
VPCTNot measured66.0%Only GPT-5 measured
LMArena Text: hard prompts13261415GPT-5
LMArena Text: expert12961419GPT-5
LMArena Text: hard prompts in English13351419GPT-5
LMArena Vision: diagramsNot measured1252Only GPT-5 measured
LMArena Vision: homeworkNot measured1278Only GPT-5 measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index07
Math benchmarks for Command A and GPT-5
BenchmarkCommand AGPT-5Leader
AIME13.3%93.4%GPT-5
MATH 500 (Vals AI)76.2%96.0%GPT-5
MGSM (Vals AI)85.7%92.8%GPT-5
AA Math Index13.094.3GPT-5
AIME 2025 (Artificial Analysis run)13.0%94.3%GPT-5
OTIS Mock AIMENot measured91.4%Only GPT-5 measured
FrontierMath, tiers 1 to 3Not measured55.4%Only GPT-5 measured
FrontierMath, tier 4Not measured22.0%Only GPT-5 measured
ProofBenchNot measured18.0%Only GPT-5 measured
MATH level 5Not measured98.1%Only GPT-5 measured
LMArena Text: math13001407GPT-5
LMArena Text: mathematical work13121405GPT-5
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
BenchmarkCommand AGPT-5Leader
MMLU Pro69.2%86.5%GPT-5
LegalBench (Vals AI)79.7%86.0%GPT-5
CaseLaw (Vals AI)64.5%66.5%GPT-5
CorpFin (Vals AI)46.0%61.1%GPT-5
TaxEval (Vals AI)61.4%73.4%GPT-5
MortgageTax (Vals AI)Not measured65.5%Only GPT-5 measured
MedQA (Vals AI)80.5%96.3%GPT-5
MedCode (Vals AI)19.7%49.6%GPT-5
MMLU Pro (Artificial Analysis run)71.2%87.1%GPT-5
SimpleQA VerifiedNot measured50.1%Only GPT-5 measured
GeoBenchNot measured81.0%Only GPT-5 measured
LMArena Text: science13391416GPT-5
LMArena Text: medicine and healthcare13341413GPT-5
LMArena Text: legal and government13481431GPT-5
LMArena Text: business and finance13151400GPT-5
Neither model has a result on the other 2 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
BenchmarkCommand AGPT-5Leader
Design Arena: websitesNot measured1185Only GPT-5 measured
Design Arena: UI componentsNot measured1180Only GPT-5 measured
Design Arena: game devNot measured1185Only GPT-5 measured
Design Arena: data vizNot measured1221Only GPT-5 measured
Design Arena: 3DNot measured1056Only GPT-5 measured
Design Arena: all code categoriesNot measured1168Only GPT-5 measured
Design Arena: SVGNot measured1189Only GPT-5 measured
Design Arena: ASCII artNot measured1140Only GPT-5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index121
General benchmarks for Command A and GPT-5
BenchmarkCommand AGPT-5Leader
SAGE (Vals AI)Not measured43.7%Only GPT-5 measured
MedScribe (Vals AI)55.7%83.7%GPT-5
IFBench73.9%73.1%Command A
Long context reasoning (AA-LCR)52.7%78.2%GPT-5
DTBench61.3%90.7%GPT-5
LMCA10.3%40.0%GPT-5
Fiction.LiveBenchNot measured97.2%Only GPT-5 measured
Creative writing (Lech Mazur)Not measured86.0%Only GPT-5 measured
LMArena Text13311406GPT-5
LMArena Text: instruction following13091388GPT-5
LMArena Text: creative writing13191365GPT-5
LMArena VisionNot measured1232Only GPT-5 measured
LMArena Text: English13441409GPT-5
LMArena Text: non-English13131397GPT-5
LMArena Text: Chinese13271422GPT-5
LMArena Text: German13421416GPT-5
LMArena Text: Japanese12851409GPT-5
LMArena Text: Korean12851360GPT-5
LMArena Text: French13511409GPT-5
LMArena Text: Spanish13471399GPT-5
LMArena Text: Russian13141407GPT-5
LMArena Text: Polish13241431GPT-5
LMArena Text: multi-turn13381426GPT-5
LMArena Text: longer queries13341399GPT-5
LMArena Text: writing and language13281384GPT-5
LMArena Text: entertainment and media13061379GPT-5
LMArena Vision: EnglishNot measured1231Only GPT-5 measured
LMArena Vision: ChineseNot measured1267Only GPT-5 measured
LMArena Vision: reading textNot measured1246Only GPT-5 measured
LMArena Vision: humorNot measured1219Only GPT-5 measured
LMArena Vision: captioningNot measured1212Only GPT-5 measured
LMArena Vision: recognizing thingsNot measured1263Only GPT-5 measured
LMArena Vision: creative writingNot measured1210Only GPT-5 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
BenchmarkCommand AGPT-5Leader
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$0.0063Fits in one request

GPT-5 costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
GPT-5$0.092Fits in one request

GPT-5 costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
GPT-5$0.350Fits in one request

GPT-5 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
SpecificationCohere Command AOpenAI GPT-5
MakerCohereOpenAI
WeightsOpen weightsNo public weights listed
ReleasedMarch 13, 2025August 7, 2025
Context window256K400K
Input $/Mtok$2.50$1.25
Output $/Mtok$10.00$10.00
Coding indexNot benchmarked38.8
Independent measurements behind it13
Cost per solved task$2.69$0.39
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than GPT-5 for coding?

Only GPT-5 has a coding score, 38.8 on the Vibe Coding Index; Command A has none, so the two cannot be ranked on coding. Command A has the edge where the benchmark that matters is IFBench, where it leads.

Which is cheaper, Command A or GPT-5?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; GPT-5 costs $1.25 and $10.00. Per solved SWE-bench Verified task, Command A costs $2.69 and GPT-5 $0.39.

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

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

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

56 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's on 3. Where only one model has a result, the page says so instead of naming a winner.

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