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

DeepSeek V4 Flash 0423 costs 35.7x less per output token than Command R+ (08-2024) ($0.28 vs $10.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Command R+ (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$10.00
DeepSeek V4 Flash 0423DeepSeek
Coding
No data
Overall
No data
Output $/M
$0.28
vs $10.00 vs $0.28 per 1M output tokens. DeepSeek V4 Flash 0423 is 35.7x cheaper.

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.

Compare them on price, context and the boards below.

No benchmark has tested both yet. Command R+ (08-2024) has none yet; DeepSeek V4 Flash 0423 on LMArena WebDev, AA Coding Index and WeirdML. Compare them on price and context instead.

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
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Command R+ (08-2024) $10.00 against DeepSeek V4 Flash 0423 $0.28 per million output tokens, 35.7x apart.
Context window
Command R+ (08-2024) takes 128K tokens, DeepSeek V4 Flash 0423 1.05M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index8 boards measured
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: codingNot measured1457Only DeepSeek V4 Flash 0423 measured
LMArena Text: software and ITNot measured1453Only DeepSeek V4 Flash 0423 measured
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 measured
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 measured
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
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
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 promptsNot measured1444Only DeepSeek V4 Flash 0423 measured
LMArena Text: expertNot measured1441Only DeepSeek V4 Flash 0423 measured
LMArena Text: hard prompts in EnglishNot measured1449Only DeepSeek V4 Flash 0423 measured
Kagi LLM BenchmarkNot measured52.2%Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 17 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Command R+ (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R+ (08-2024)DeepSeek V4 Flash 0423Leader
LMArena Text: mathNot measured1426Only DeepSeek V4 Flash 0423 measured
LMArena Text: mathematical workNot measured1432Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for Command R+ (08-2024) and DeepSeek V4 Flash 0423
BenchmarkCommand R+ (08-2024)DeepSeek V4 Flash 0423Leader
LMArena Text: scienceNot measured1446Only DeepSeek V4 Flash 0423 measured
LMArena Text: medicine and healthcareNot measured1448Only DeepSeek V4 Flash 0423 measured
LMArena Text: legal and governmentNot measured1439Only DeepSeek V4 Flash 0423 measured
LMArena Text: business and financeNot measured1425Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
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
GeneralDirectional onlyPublic boards, shown as published, kept out of the index19 boards measured
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 TextNot measured1432Only DeepSeek V4 Flash 0423 measured
LMArena Text: instruction followingNot measured1421Only DeepSeek V4 Flash 0423 measured
LMArena Text: creative writingNot measured1403Only DeepSeek V4 Flash 0423 measured
LMArena Text: EnglishNot measured1441Only DeepSeek V4 Flash 0423 measured
LMArena Text: non-EnglishNot measured1419Only DeepSeek V4 Flash 0423 measured
LMArena Text: ChineseNot measured1463Only DeepSeek V4 Flash 0423 measured
LMArena Text: GermanNot measured1419Only DeepSeek V4 Flash 0423 measured
LMArena Text: JapaneseNot measured1389Only DeepSeek V4 Flash 0423 measured
LMArena Text: KoreanNot measured1383Only DeepSeek V4 Flash 0423 measured
LMArena Text: FrenchNot measured1439Only DeepSeek V4 Flash 0423 measured
LMArena Text: SpanishNot measured1436Only DeepSeek V4 Flash 0423 measured
LMArena Text: RussianNot measured1427Only DeepSeek V4 Flash 0423 measured
LMArena Text: PolishNot measured1436Only DeepSeek V4 Flash 0423 measured
LMArena Text: multi-turnNot measured1449Only DeepSeek V4 Flash 0423 measured
LMArena Text: longer queriesNot measured1434Only DeepSeek V4 Flash 0423 measured
LMArena Text: writing and languageNot measured1410Only DeepSeek V4 Flash 0423 measured
LMArena Text: entertainment and mediaNot measured1400Only DeepSeek V4 Flash 0423 measured
Neither model has a result on the other 27 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)$0.0075Fits 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 R+ (08-2024)$0.155Fits 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)$0.600Exceeds 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$2.50$0.13
Output $/Mtok$10.00$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. Compare them on price, context and the boards below.

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

Command R+ (08-2024) costs $2.50 per million input tokens and $10.00 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.

Has any benchmark tested both Command R+ (08-2024) and DeepSeek V4 Flash 0423?

No benchmark has tested both yet. Command R+ (08-2024) has none yet; DeepSeek V4 Flash 0423 on LMArena WebDev, AA Coding Index and WeirdML. Compare them on price and context instead. Data as of October 21, 2026.

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