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Command R (08-2024) vs R1 0528

Command R (08-2024) costs 3.6x less per output token than R1 0528 ($0.60 vs $2.18 per million). Updated October 21, 2026; 25 benchmarks have a result for both.

Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
0
R1 0528DeepSeek
Coding
No data
Overall
46.8
Output $/M
$2.18
25
vs boards won of 25 shared

Command R (08-2024) or R1 0528: which to pick

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

Pick Command R (08-2024) for output tokens 3.6x cheaper ($0.60 vs $2.18 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
25
Command R (08-2024) only
0
R1 0528 only
35
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, R1 0528 not benchmarked.
Widest category
Coding, 39.8 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: coding: Command R (08-2024) 1187 against R1 0528 1427, 40.0 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against R1 0528 $2.18 per million output tokens, 3.6x apart.
Context window
Command R (08-2024) takes 128K tokens, R1 0528 164K.

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)BarsR1 0528Ties
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 R1 0528
BenchmarkCommand R (08-2024)R1 0528Leader
Aider polyglotNot measured71.4%Only R1 0528 measured
LiveCodeBench (Artificial Analysis run)Not measured77.0%Only R1 0528 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured15.9%Only R1 0528 measured
WeirdMLNot measured41.6%Only R1 0528 measured
ALE-BenchNot measured804.1Only R1 0528 measured
LMArena Text: coding11871427R1 0528
LMArena Text: software and IT11971435R1 0528
Neither model has a result on the other 32 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Command R (08-2024) and R1 0528
BenchmarkCommand R (08-2024)R1 0528Leader
AA Intelligence IndexNot measured13.1Only R1 0528 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Command R (08-2024) and R1 0528
BenchmarkCommand R (08-2024)R1 0528Leader
τ²-Bench TelecomNot measured36.5%Only R1 0528 measured
METR time horizonsNot measured53.8%Only R1 0528 measured
DeepResearch BenchNot measured35.1%Only R1 0528 measured
BrowseComp-PlusNot measured16.4%Only R1 0528 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and R1 0528
BenchmarkCommand R (08-2024)R1 0528Leader
GPQA Diamond (Artificial Analysis run)Not measured81.3%Only R1 0528 measured
Humanity's Last Exam (Artificial Analysis run)Not measured15.8%Only R1 0528 measured
GPQA Diamond (Epoch AI run)Not measured76.3%Only R1 0528 measured
ARC-AGINot measured21.2%Only R1 0528 measured
ARC-AGI-2Not measured1.1%Only R1 0528 measured
SimpleBenchNot measured40.8%Only R1 0528 measured
LMArena Text: hard prompts11861415R1 0528
LMArena Text: expert11731394R1 0528
LMArena Text: hard prompts in English11941422R1 0528
Neither model has a result on the other 13 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Command R (08-2024) and R1 0528
BenchmarkCommand R (08-2024)R1 0528Leader
AA Math IndexNot measured76.0Only R1 0528 measured
AIME 2025 (Artificial Analysis run)Not measured76.0%Only R1 0528 measured
OTIS Mock AIMENot measured66.4%Only R1 0528 measured
MATH level 5Not measured96.6%Only R1 0528 measured
LMArena Text: math11881400R1 0528
LMArena Text: mathematical work11981415R1 0528
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Command R (08-2024) and R1 0528
BenchmarkCommand R (08-2024)R1 0528Leader
MMLU Pro (Artificial Analysis run)Not measured84.9%Only R1 0528 measured
LMArena Text: science12521430R1 0528
LMArena Text: medicine and healthcare12381445R1 0528
LMArena Text: legal and government12681419R1 0528
LMArena Text: business and finance12151402R1 0528
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Command R (08-2024) and R1 0528
BenchmarkCommand R (08-2024)R1 0528Leader
Design Arena: websitesNot measured1149Only R1 0528 measured
Design Arena: UI componentsNot measured1103Only R1 0528 measured
Design Arena: game devNot measured1097Only R1 0528 measured
Design Arena: data vizNot measured1182Only R1 0528 measured
Design Arena: 3DNot measured1111Only R1 0528 measured
Design Arena: all code categoriesNot measured1139Only R1 0528 measured
Design Arena: SVGNot measured1039Only R1 0528 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index014
General benchmarks for Command R (08-2024) and R1 0528
BenchmarkCommand R (08-2024)R1 0528Leader
IFBenchNot measured39.6%Only R1 0528 measured
Long context reasoning (AA-LCR)Not measured55.7%Only R1 0528 measured
Fiction.LiveBenchNot measured75.0%Only R1 0528 measured
Creative writing (Lech Mazur)Not measured81.9%Only R1 0528 measured
LMArena Text12291428R1 0528
LMArena Text: instruction following11971382R1 0528
LMArena Text: creative writing12341405R1 0528
LMArena Text: English12381437R1 0528
LMArena Text: non-English12161412R1 0528
LMArena Text: Chinese12271442R1 0528
LMArena Text: German12161404R1 0528
LMArena Text: Japanese11661391R1 0528
LMArena Text: Korean11621360R1 0528
LMArena Text: FrenchNot measured1417Only R1 0528 measured
LMArena Text: SpanishNot measured1411Only R1 0528 measured
LMArena Text: Russian12271423R1 0528
LMArena Text: PolishNot measured1428Only R1 0528 measured
LMArena Text: multi-turn12131405R1 0528
LMArena Text: longer queries12301391R1 0528
LMArena Text: writing and language12411402R1 0528
LMArena Text: entertainment and media12231400R1 0528
Neither model has a result on the other 25 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 R1 0528
BenchmarkCommand R (08-2024)R1 0528Leader
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
R1 0528$0.0016Fits in one request

Command R (08-2024) costs less

Repository review

50K input + 3K output tokens

Command R (08-2024)$0.0093Fits in one request
R1 0528$0.032Fits in one request

Command R (08-2024) costs less

Agent loop

200K input + 10K output tokens

Command R (08-2024)$0.036Exceeds the context window
R1 0528$0.122Exceeds the context window

Command R (08-2024) 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 R1 0528
SpecificationCohere Command R (08-2024)DeepSeek R1 0528
MakerCohereDeepSeek
WeightsNo public weights listedOpen weights
ReleasedAugust 30, 2024May 28, 2025
Context window128K164K
Input $/Mtok$0.15$0.50
Output $/Mtok$0.60$2.18
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) better than R1 0528 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command R (08-2024) for output tokens 3.6x cheaper ($0.60 vs $2.18 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Command R (08-2024) or R1 0528?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; R1 0528 costs $0.50 and $2.18. Cost per solved task is known for neither of them.

Which has the bigger context window, Command R (08-2024) or R1 0528?

R1 0528, with 164K tokens against 128K.

How many benchmarks is the Command R (08-2024) vs R1 0528 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 R1 0528's on 0. Where only one model has a result, the page says so instead of naming a winner.

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