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Command A vs DeepSeek V4 Flash 0423

Updated October 21, 2026. 33 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
0
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
24.4
Output $/M
$0.28
33
vs boards won of 33 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 AA Coding Index or LMArena Text: coding, where it leads.

Shared results
33
Command A only
27
DeepSeek V4 Flash 0423 only
15
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, DeepSeek V4 Flash 0423 not benchmarked.
Widest category
Agentic work, 25.3 points apart on average over 1 shared benchmark.
Widest single gap
LMCA: Command A 10.3% against DeepSeek V4 Flash 0423 35.9%, 25.6 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 35.7x apart.
Context window
Command A takes 256K tokens, DeepSeek V4 Flash 0423 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 ABarsDeepSeek V4 Flash 0423Ties
Coding03
Intelligence01
Agentic work01
Reasoning03
Math02
Knowledge04
General019
All shared boards033
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
Coding benchmarks for Command A and DeepSeek V4 Flash 0423
BenchmarkCommand ADeepSeek V4 Flash 0423Leader
LMArena WebDevNot measured1582Only DeepSeek V4 Flash 0423 measured
AA Coding Index27.852.0DeepSeek V4 Flash 0423
LiveCodeBench (Vals AI)35.1%Not measuredOnly Command A measured
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%Not measuredOnly Command A measured
SciCode38.5%Not measuredOnly Command A measured
Terminal-Bench Hard (Artificial Analysis run)25.0%Not measuredOnly Command A measured
WeirdMLNot measured45.6%Only DeepSeek V4 Flash 0423 measured
ALE-BenchNot measured678.2Only DeepSeek V4 Flash 0423 measured
LMArena Text: coding13301457DeepSeek V4 Flash 0423
LMArena Text: software and IT13361453DeepSeek V4 Flash 0423
LMArena WebDev: ReactNot measured1585Only DeepSeek V4 Flash 0423 measured
LMArena WebDev: HTMLNot measured1558Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Command A and DeepSeek V4 Flash 0423
BenchmarkCommand ADeepSeek V4 Flash 0423Leader
AA Intelligence Index13.124.4DeepSeek V4 Flash 0423
Epoch Capabilities IndexNot measured146.1Only DeepSeek V4 Flash 0423 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Command A and DeepSeek V4 Flash 0423
BenchmarkCommand ADeepSeek V4 Flash 0423Leader
AA Agentic Index1.026.3DeepSeek V4 Flash 0423
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%Not measuredOnly Command A measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command A and DeepSeek V4 Flash 0423
BenchmarkCommand ADeepSeek V4 Flash 0423Leader
GPQA Diamond48.5%Not measuredOnly Command A measured
GPQA Diamond (Artificial Analysis run)76.1%Not measuredOnly Command A measured
Humanity's Last Exam (Artificial Analysis run)12.0%Not measuredOnly Command A measured
SimpleBenchNot measured46.3%Only DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts13261444DeepSeek V4 Flash 0423
LMArena Text: expert12961441DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English13351449DeepSeek V4 Flash 0423
Neither model has a result on the other 14 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command A and DeepSeek V4 Flash 0423
BenchmarkCommand ADeepSeek V4 Flash 0423Leader
AIME13.3%Not measuredOnly Command A measured
MATH 500 (Vals AI)76.2%Not measuredOnly Command A measured
MGSM (Vals AI)85.7%Not measuredOnly Command A measured
AA Math Index13.0Not measuredOnly Command A measured
AIME 2025 (Artificial Analysis run)13.0%Not measuredOnly Command A measured
LMArena Text: math13001426DeepSeek V4 Flash 0423
LMArena Text: mathematical work13121432DeepSeek V4 Flash 0423
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Command A and DeepSeek V4 Flash 0423
BenchmarkCommand ADeepSeek V4 Flash 0423Leader
MMLU Pro69.2%Not measuredOnly Command A measured
LegalBench (Vals AI)79.7%Not measuredOnly Command A measured
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%Not measuredOnly Command A measured
MedQA (Vals AI)80.5%Not measuredOnly Command A measured
MedCode (Vals AI)19.7%Not measuredOnly Command A measured
MMLU Pro (Artificial Analysis run)71.2%Not measuredOnly Command A measured
LMArena Text: science13391446DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare13341448DeepSeek V4 Flash 0423
LMArena Text: legal and government13481439DeepSeek V4 Flash 0423
LMArena Text: business and finance13151425DeepSeek V4 Flash 0423
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Command A and DeepSeek V4 Flash 0423
BenchmarkCommand ADeepSeek V4 Flash 0423Leader
Design Arena: websitesNot measured1208Only DeepSeek V4 Flash 0423 measured
Design Arena: UI componentsNot measured1165Only DeepSeek V4 Flash 0423 measured
Design Arena: game devNot measured1197Only DeepSeek V4 Flash 0423 measured
Design Arena: data vizNot measured1127Only DeepSeek V4 Flash 0423 measured
Design Arena: 3DNot measured1189Only DeepSeek V4 Flash 0423 measured
Design Arena: all code categoriesNot measured1205Only DeepSeek V4 Flash 0423 measured
Design Arena: SVGNot measured1155Only DeepSeek V4 Flash 0423 measured
Design Arena: ASCII artNot measured1109Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Command A and DeepSeek V4 Flash 0423
BenchmarkCommand ADeepSeek V4 Flash 0423Leader
MedScribe (Vals AI)55.7%Not measuredOnly Command A measured
IFBench73.9%Not measuredOnly Command A measured
Long context reasoning (AA-LCR)52.7%Not measuredOnly Command A measured
DTBench61.3%86.4%DeepSeek V4 Flash 0423
LMCA10.3%35.9%DeepSeek V4 Flash 0423
LMArena Text13311432DeepSeek V4 Flash 0423
LMArena Text: instruction following13091421DeepSeek V4 Flash 0423
LMArena Text: creative writing13191403DeepSeek V4 Flash 0423
LMArena Text: English13441441DeepSeek V4 Flash 0423
LMArena Text: non-English13131419DeepSeek V4 Flash 0423
LMArena Text: Chinese13271463DeepSeek V4 Flash 0423
LMArena Text: German13421419DeepSeek V4 Flash 0423
LMArena Text: Japanese12851389DeepSeek V4 Flash 0423
LMArena Text: Korean12851383DeepSeek V4 Flash 0423
LMArena Text: French13511439DeepSeek V4 Flash 0423
LMArena Text: Spanish13471436DeepSeek V4 Flash 0423
LMArena Text: Russian13141427DeepSeek V4 Flash 0423
LMArena Text: Polish13241436DeepSeek V4 Flash 0423
LMArena Text: multi-turn13381449DeepSeek V4 Flash 0423
LMArena Text: longer queries13341434DeepSeek V4 Flash 0423
LMArena Text: writing and language13281410DeepSeek V4 Flash 0423
LMArena Text: entertainment and media13061400DeepSeek V4 Flash 0423
Neither model has a result on the other 24 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command A and DeepSeek V4 Flash 0423
BenchmarkCommand ADeepSeek V4 Flash 0423Leader
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
DeepSeek V4 Flash 0423$0.0003Fits in one request

DeepSeek V4 Flash 0423 costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
DeepSeek V4 Flash 0423$0.0078Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
DeepSeek V4 Flash 0423$0.031Fits in one request

DeepSeek V4 Flash 0423 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 DeepSeek V4 Flash 0423
SpecificationCohere Command ADeepSeek V4 Flash 0423
MakerCohereDeepSeek
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025April 24, 2026
Context window256K1.05M
Input $/Mtok$2.50$0.14
Output $/Mtok$10.00$0.28
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved task$2.69Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than DeepSeek V4 Flash 0423 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 AA Coding Index or LMArena Text: coding, where it leads.

Which is cheaper, Command A or DeepSeek V4 Flash 0423?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; DeepSeek V4 Flash 0423 costs $0.14 and $0.28. Cost per solved task is known for Command A only.

Which has the bigger context window, Command A or DeepSeek V4 Flash 0423?

DeepSeek V4 Flash 0423, with 1.05M tokens against 256K.

How many benchmarks is the Command A vs DeepSeek V4 Flash 0423 comparison based on?

33 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and DeepSeek V4 Flash 0423's on 1. Where only one model has a result, the page says so instead of naming a winner.

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