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Command R (08-2024) vs Extract

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Command R (08-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.60
S ExtractScaledown
Coding
No data
Overall
No data
Output $/M
No data
vs 128K vs 1M context window. Extract fits 7.8x more.

Decision reading

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

Compare them on price, context and the boards below.

Shared results
0
Command R (08-2024) only
25
Extract only
0
Like-for-like categories
0 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 R (08-2024) not benchmarked, Extract not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Command R (08-2024) $0.60 against Extract Free per million output tokens.
Context window
Command R (08-2024) takes 128K tokens, Extract 1M.

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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards, none shared
Coding benchmarks for Command R (08-2024) and Extract
BenchmarkCommand R (08-2024)ExtractLeader
LMArena Text: coding1187Not measuredOnly Command R (08-2024) measured
LMArena Text: software and IT1197Not measuredOnly Command R (08-2024) measured
Neither model has a result on the other 36 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for Command R (08-2024) and Extract
BenchmarkCommand R (08-2024)ExtractLeader
Neither model has a result on 2 boards here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Command R (08-2024) and Extract
BenchmarkCommand R (08-2024)ExtractLeader
Neither model has a result on 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Reasoning benchmarks for Command R (08-2024) and Extract
BenchmarkCommand R (08-2024)ExtractLeader
LMArena Text: hard prompts1186Not measuredOnly Command R (08-2024) measured
LMArena Text: expert1173Not measuredOnly Command R (08-2024) measured
LMArena Text: hard prompts in English1194Not measuredOnly Command R (08-2024) measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Command R (08-2024) and Extract
BenchmarkCommand R (08-2024)ExtractLeader
LMArena Text: math1188Not measuredOnly Command R (08-2024) measured
LMArena Text: mathematical work1198Not measuredOnly Command R (08-2024) measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Knowledge benchmarks for Command R (08-2024) and Extract
BenchmarkCommand R (08-2024)ExtractLeader
LMArena Text: science1252Not measuredOnly Command R (08-2024) measured
LMArena Text: medicine and healthcare1238Not measuredOnly Command R (08-2024) measured
LMArena Text: legal and government1268Not measuredOnly Command R (08-2024) measured
LMArena Text: business and finance1215Not measuredOnly Command R (08-2024) measured
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Command R (08-2024) and Extract
BenchmarkCommand R (08-2024)ExtractLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
General benchmarks for Command R (08-2024) and Extract
BenchmarkCommand R (08-2024)ExtractLeader
LMArena Text1229Not measuredOnly Command R (08-2024) measured
LMArena Text: instruction following1197Not measuredOnly Command R (08-2024) measured
LMArena Text: creative writing1234Not measuredOnly Command R (08-2024) measured
LMArena Text: English1238Not measuredOnly Command R (08-2024) measured
LMArena Text: non-English1216Not measuredOnly Command R (08-2024) measured
LMArena Text: Chinese1227Not measuredOnly Command R (08-2024) measured
LMArena Text: German1216Not measuredOnly Command R (08-2024) measured
LMArena Text: Japanese1166Not measuredOnly Command R (08-2024) measured
LMArena Text: Korean1162Not measuredOnly Command R (08-2024) measured
LMArena Text: Russian1227Not measuredOnly Command R (08-2024) measured
LMArena Text: multi-turn1213Not measuredOnly Command R (08-2024) measured
LMArena Text: longer queries1230Not measuredOnly Command R (08-2024) measured
LMArena Text: writing and language1241Not measuredOnly Command R (08-2024) measured
LMArena Text: entertainment and media1223Not measuredOnly Command R (08-2024) measured
Neither model has a result on the other 32 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 Extract
BenchmarkCommand R (08-2024)ExtractLeader
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
Extract$0.0000Fits in one request

Extract costs less

Repository review

50K input + 3K output tokens

Command R (08-2024)$0.0093Fits in one request
Extract$0.0020Fits in one request

Extract costs less

Agent loop

200K input + 10K output tokens

Command R (08-2024)$0.036Exceeds the context window
Extract$0.0080Fits in one request

Extract 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 Extract
SpecificationCohere Command R (08-2024)ScaleDown Extract
MakerCohereScaledown
WeightsNo public weights listedNo public weights listed
ReleasedAugust 30, 2024October 13, 2026
Context window128K1M
Input $/Mtok$0.15$0.04
Output $/Mtok$0.60Free
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 Extract 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 Extract?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; Extract costs $0.04 and Free. Cost per solved task is known for neither of them.

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

Extract, with 1M tokens against 128K.

How many benchmarks is the Command R (08-2024) vs Extract comparison based on?

0 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 Extract's on 0. Where only one model has a result, the page says so instead of naming a winner.

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