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Command R (08-2024) vs Step 5 Preview

Updated October 21, 2026. 23 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
0
Step 5 PreviewStepFun
Coding
61.1
Overall
43.7
Output $/M
$2.70
23
vs boards won of 23 shared

Decision reading

Only Step 5 Preview has a coding score, 61.1 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding.

Command R (08-2024) has the edge where output tokens cost 4.5x less.

Shared results
23
Command R (08-2024) only
2
Step 5 Preview only
38
Like-for-like categories
5 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, Step 5 Preview 61.1 from 4 benchmarks.
Widest category
Coding, 47.8 points apart on average over 2 shared benchmarks.
Widest single gap
LMArena Text: expert: Command R (08-2024) 1173 against Step 5 Preview 1485, 51.8 points apart on a 0 to 100 scale.
Output price
Command R (08-2024) $0.60 against Step 5 Preview $2.70 per million output tokens, 4.5x apart.
Context window
Command R (08-2024) takes 128K tokens, Step 5 Preview 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)BarsStep 5 PreviewTies
Coding02
Reasoning03
Math02
Knowledge04
General012
All shared boards023
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
Coding benchmarks for Command R (08-2024) and Step 5 Preview
BenchmarkCommand R (08-2024)Step 5 PreviewLeader
LiveBench codingNot measured85.6%Only Step 5 Preview measured
LMArena WebDevNot measured1567Only Step 5 Preview measured
Terminal-Bench 4 (Vals AI)Not measured31.8%Only Step 5 Preview measured
Vibe Code Bench (Vals AI)Not measured70.4%Only Step 5 Preview measured
Code migration (Vals AI)Not measured39.0%Only Step 5 Preview measured
IOI (Vals AI)Not measured38.1%Only Step 5 Preview measured
SWE-bench Multimodal (Vals AI)Not measured40.8%Only Step 5 Preview measured
SciCodeNot measured58.9%Only Step 5 Preview measured
LMArena Text: coding11871485Step 5 Preview
LMArena Text: software and IT11971473Step 5 Preview
LMArena WebDev: ReactNot measured1583Only Step 5 Preview measured
LMArena WebDev: HTMLNot measured1556Only Step 5 Preview measured
LMArena WebDev: from an imageNot measured1550Only Step 5 Preview measured
Neither model has a result on the other 25 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Intelligence benchmarks for Command R (08-2024) and Step 5 Preview
BenchmarkCommand R (08-2024)Step 5 PreviewLeader
AA Intelligence IndexNot measured43.7Only Step 5 Preview measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Command R (08-2024) and Step 5 Preview
BenchmarkCommand R (08-2024)Step 5 PreviewLeader
LiveBench researchNot measured72.8%Only Step 5 Preview measured
LiveBench browserNot measured24.0%Only Step 5 Preview measured
LiveBench long agenticNot measured27.5%Only Step 5 Preview measured
SREBench (Vals AI)Not measured0.4%Only Step 5 Preview measured
Finance Agent (Vals AI)Not measured50.7%Only Step 5 Preview measured
Tax Agent Bench (Vals AI)Not measured27.3%Only Step 5 Preview measured
Legal Research Bench (Vals AI)Not measured40.4%Only Step 5 Preview measured
Excel Modeling Benchmark (Vals AI)Not measured57.1%Only Step 5 Preview measured
BioMysteryBench (Vals AI)Not measured67.4%Only Step 5 Preview measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only Step 5 Preview measured
Vals Science IndexNot measured29.6%Only Step 5 Preview measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Command R (08-2024) and Step 5 Preview
BenchmarkCommand R (08-2024)Step 5 PreviewLeader
LiveBench reasoningNot measured83.8%Only Step 5 Preview measured
MysteryMechanism (Vals AI)Not measured18.5%Only Step 5 Preview measured
Humanity's Last Exam (Artificial Analysis run)Not measured46.5%Only Step 5 Preview measured
LMArena Text: hard prompts11861461Step 5 Preview
LMArena Text: expert11731485Step 5 Preview
LMArena Text: hard prompts in English11941454Step 5 Preview
LMArena Vision: diagramsNot measured1308Only Step 5 Preview measured
LMArena Vision: homeworkNot measured1265Only Step 5 Preview measured
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 Step 5 Preview
BenchmarkCommand R (08-2024)Step 5 PreviewLeader
ProofBenchNot measured42.0%Only Step 5 Preview measured
LMArena Text: math11881458Step 5 Preview
LMArena Text: mathematical work11981460Step 5 Preview
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Command R (08-2024) and Step 5 Preview
BenchmarkCommand R (08-2024)Step 5 PreviewLeader
LMArena Text: science12521454Step 5 Preview
LMArena Text: medicine and healthcare12381439Step 5 Preview
LMArena Text: legal and government12681437Step 5 Preview
LMArena Text: business and finance12151435Step 5 Preview
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Command R (08-2024) and Step 5 Preview
BenchmarkCommand R (08-2024)Step 5 PreviewLeader
LiveBench designNot measured76.9%Only Step 5 Preview measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index012
General benchmarks for Command R (08-2024) and Step 5 Preview
BenchmarkCommand R (08-2024)Step 5 PreviewLeader
LiveBench data analysisNot measured63.5%Only Step 5 Preview measured
Public Benefits Bench (Vals AI)Not measured58.1%Only Step 5 Preview measured
Long context reasoning (AA-LCR)Not measured88.3%Only Step 5 Preview measured
LMArena Text12291440Step 5 Preview
LMArena Text: instruction following11971438Step 5 Preview
LMArena Text: creative writing12341409Step 5 Preview
LMArena VisionNot measured1265Only Step 5 Preview measured
LMArena Text: English12381447Step 5 Preview
LMArena Text: non-English12161428Step 5 Preview
LMArena Text: Chinese12271500Step 5 Preview
LMArena Text: German1216Not measuredOnly Command R (08-2024) measured
LMArena Text: Japanese11661383Step 5 Preview
LMArena Text: Korean1162Not measuredOnly Command R (08-2024) measured
LMArena Text: FrenchNot measured1438Only Step 5 Preview measured
LMArena Text: SpanishNot measured1441Only Step 5 Preview measured
LMArena Text: Russian12271433Step 5 Preview
LMArena Text: multi-turn12131437Step 5 Preview
LMArena Text: longer queries12301449Step 5 Preview
LMArena Text: writing and language12411425Step 5 Preview
LMArena Text: entertainment and media12231412Step 5 Preview
LMArena Vision: EnglishNot measured1290Only Step 5 Preview measured
LMArena Vision: reading textNot measured1282Only Step 5 Preview measured
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 R (08-2024) and Step 5 Preview
BenchmarkCommand R (08-2024)Step 5 PreviewLeader
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
Step 5 Preview$0.0024Fits 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
Step 5 Preview$0.058Fits 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
Step 5 Preview$0.227Fits in one request

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 Step 5 Preview
SpecificationCohere Command R (08-2024)StepFun Step 5 Preview
MakerCohereStepFun
WeightsNo public weights listedOpen weights
ReleasedAugust 30, 2024October 8, 2026
Context window128K1.05M
Input $/Mtok$0.15$1.00
Output $/Mtok$0.60$2.70
Coding indexNot benchmarked61.1
Independent measurements behind it04
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R (08-2024) better than Step 5 Preview for coding?

Only Step 5 Preview has a coding score, 61.1 on the Vibe Coding Index; Command R (08-2024) has none, so the two cannot be ranked on coding. Command R (08-2024) has the edge where output tokens cost 4.5x less.

Which is cheaper, Command R (08-2024) or Step 5 Preview?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; Step 5 Preview costs $1.00 and $2.70. Cost per solved task is known for neither of them.

Which has the bigger context window, Command R (08-2024) or Step 5 Preview?

Step 5 Preview, with 1.05M tokens against 128K.

How many benchmarks is the Command R (08-2024) vs Step 5 Preview comparison based on?

23 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 Step 5 Preview's on 4. Where only one model has a result, the page says so instead of naming a winner.

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