Enter opens the highlighted result. Esc closes.

Command R (08-2024) vs DeepSeek V4 Flash 0423

DeepSeek V4 Flash 0423 costs 2.1x less per output token than Command R (08-2024) ($0.28 vs $0.60 per million). Updated October 21, 2026; 25 benchmarks have a result for both.

Replace Command R (08-2024) Replace DeepSeek V4 Flash 0423
Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
25
vs boards won of 25 shared

Command R (08-2024) or DeepSeek V4 Flash 0423: which to pick

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

Pick Command R (08-2024) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model ACommand R (08-2024)CohereNot benchmarkedNo coding benchmarkNo cost per solved taskModel BDeepSeek V4 Flash 0423DeepSeekNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
25
Command R (08-2024) only
0
DeepSeek V4 Flash 0423 only
24
Like-for-like categories
5 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 R (08-2024) not benchmarked, DeepSeek V4 Flash 0423 not benchmarked.
Widest category
Coding, 43.8 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: coding: Command R (08-2024) 1187 against DeepSeek V4 Flash 0423 1457, 45.0 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 2.1x apart.
Context window
Command R (08-2024) takes 128K 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 R (08-2024)BarsDeepSeek V4 Flash 0423Ties
Coding02
Reasoning03
Math02
Knowledge04
General014
All shared boards025
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Command R (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R (08-2024)DeepSeek V4 Flash 0423Leader
LMArena WebDevNot measured1582Only DeepSeek V4 Flash 0423 measured
AA Coding IndexNot measured52.0Only DeepSeek V4 Flash 0423 measured
WeirdMLNot measured45.6%Only DeepSeek V4 Flash 0423 measured
ALE-BenchNot measured678.2Only DeepSeek V4 Flash 0423 measured
LMArena Text: coding11871457DeepSeek V4 Flash 0423
LMArena Text: software and IT11971453DeepSeek 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 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Command R (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R (08-2024)DeepSeek V4 Flash 0423Leader
AA Intelligence IndexNot measured24.4Only DeepSeek V4 Flash 0423 measured
Epoch Capabilities IndexNot measured146.1Only DeepSeek V4 Flash 0423 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Command R (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R (08-2024)DeepSeek V4 Flash 0423Leader
AA Agentic IndexNot measured26.3Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R (08-2024)DeepSeek V4 Flash 0423Leader
SimpleBenchNot measured46.3%Only DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts11861444DeepSeek V4 Flash 0423
LMArena Text: expert11731441DeepSeek V4 Flash 0423
LMArena Text: hard prompts in English11941449DeepSeek V4 Flash 0423
Kagi LLM BenchmarkNot measured52.2%Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 17 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command R (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R (08-2024)DeepSeek V4 Flash 0423Leader
LMArena Text: math11881426DeepSeek V4 Flash 0423
LMArena Text: mathematical work11981432DeepSeek V4 Flash 0423
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Command R (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R (08-2024)DeepSeek V4 Flash 0423Leader
LMArena Text: science12521446DeepSeek V4 Flash 0423
LMArena Text: medicine and healthcare12381448DeepSeek V4 Flash 0423
LMArena Text: legal and government12681439DeepSeek V4 Flash 0423
LMArena Text: business and finance12151425DeepSeek V4 Flash 0423
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Command R (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R (08-2024)DeepSeek 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 index014
General benchmarks for Command R (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R (08-2024)DeepSeek V4 Flash 0423Leader
DTBenchNot measured86.4%Only DeepSeek V4 Flash 0423 measured
LMCANot measured35.9%Only DeepSeek V4 Flash 0423 measured
LMArena Text12291432DeepSeek V4 Flash 0423
LMArena Text: instruction following11971421DeepSeek V4 Flash 0423
LMArena Text: creative writing12341403DeepSeek V4 Flash 0423
LMArena Text: English12381441DeepSeek V4 Flash 0423
LMArena Text: non-English12161419DeepSeek V4 Flash 0423
LMArena Text: Chinese12271463DeepSeek V4 Flash 0423
LMArena Text: German12161419DeepSeek V4 Flash 0423
LMArena Text: Japanese11661389DeepSeek V4 Flash 0423
LMArena Text: Korean11621383DeepSeek V4 Flash 0423
LMArena Text: FrenchNot measured1439Only DeepSeek V4 Flash 0423 measured
LMArena Text: SpanishNot measured1436Only DeepSeek V4 Flash 0423 measured
LMArena Text: Russian12271427DeepSeek V4 Flash 0423
LMArena Text: PolishNot measured1436Only DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turn12131449DeepSeek V4 Flash 0423
LMArena Text: longer queries12301434DeepSeek V4 Flash 0423
LMArena Text: writing and language12411410DeepSeek V4 Flash 0423
LMArena Text: entertainment and media12231400DeepSeek V4 Flash 0423
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command R (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R (08-2024)DeepSeek 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 R (08-2024)$0.0004Fits 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 R (08-2024)$0.0093Fits in one request
DeepSeek V4 Flash 0423$0.0073Fits in one request

DeepSeek V4 Flash 0423 costs less

Agent loop

200K input + 10K output tokens

Command R (08-2024)$0.036Exceeds the context window
DeepSeek V4 Flash 0423$0.029Fits 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 R (08-2024) and DeepSeek V4 Flash 0423
SpecificationCohere Command R (08-2024)DeepSeek V4 Flash 0423
MakerCohereDeepSeek
WeightsNo public weights listedOpen weights
ReleasedAugust 30, 2024April 24, 2026
Context window128K1.05M
Input $/Mtok$0.15$0.13
Output $/Mtok$0.60$0.28
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) better than DeepSeek V4 Flash 0423 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command R (08-2024) for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Command R (08-2024) or DeepSeek V4 Flash 0423?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; DeepSeek V4 Flash 0423 costs $0.13 and $0.28. Cost per solved task is known for neither of them.

Which has the bigger context window, Command R (08-2024) or DeepSeek V4 Flash 0423?

DeepSeek V4 Flash 0423, with 1.05M tokens against 128K.

How many benchmarks is the Command R (08-2024) vs DeepSeek V4 Flash 0423 comparison based on?

25 benchmarks have a result for both models as of October 21, 2026. Command R (08-2024)'s coding index rests on 0 independent benchmarks and DeepSeek V4 Flash 0423's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next