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Command R (08-2024) vs Step 3.7 Flash

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
Step 3.7 FlashStepFun
Coding
No data
Overall
19.5
Output $/M
$1.15
vs $0.60 vs $1.15 per 1M output tokens. Command R (08-2024) is 1.9x cheaper.

Decision reading

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

Command R (08-2024) has the edge where output tokens cost 1.9x less.

Shared results
0
Command R (08-2024) only
25
Step 3.7 Flash only
18
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, Step 3.7 Flash 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 Step 3.7 Flash $1.15 per million output tokens, 1.9x apart.
Context window
Command R (08-2024) takes 128K tokens, Step 3.7 Flash 262K.

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 Index6 boards, none shared
Coding benchmarks for Command R (08-2024) and Step 3.7 Flash
BenchmarkCommand R (08-2024)Step 3.7 FlashLeader
AA Coding IndexNot measured39.6Only Step 3.7 Flash measured
SciCodeNot measured43.9%Only Step 3.7 Flash measured
Terminal-Bench Hard (Artificial Analysis run)Not measured35.6%Only Step 3.7 Flash measured
ALE-BenchNot measured694.1Only Step 3.7 Flash measured
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 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 Step 3.7 Flash
BenchmarkCommand R (08-2024)Step 3.7 FlashLeader
AA Intelligence IndexNot measured19.5Only Step 3.7 Flash measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for Command R (08-2024) and Step 3.7 Flash
BenchmarkCommand R (08-2024)Step 3.7 FlashLeader
τ²-Bench TelecomNot measured98.5%Only Step 3.7 Flash measured
Neither model has a result on the other 38 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Command R (08-2024) and Step 3.7 Flash
BenchmarkCommand R (08-2024)Step 3.7 FlashLeader
GPQA Diamond (Artificial Analysis run)Not measured80.9%Only Step 3.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured21.4%Only Step 3.7 Flash measured
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 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Command R (08-2024) and Step 3.7 Flash
BenchmarkCommand R (08-2024)Step 3.7 FlashLeader
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 Step 3.7 Flash
BenchmarkCommand R (08-2024)Step 3.7 FlashLeader
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 designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Command R (08-2024) and Step 3.7 Flash
BenchmarkCommand R (08-2024)Step 3.7 FlashLeader
Design Arena: websitesNot measured1196Only Step 3.7 Flash measured
Design Arena: UI componentsNot measured1179Only Step 3.7 Flash measured
Design Arena: game devNot measured1158Only Step 3.7 Flash measured
Design Arena: data vizNot measured1172Only Step 3.7 Flash measured
Design Arena: 3DNot measured1129Only Step 3.7 Flash measured
Design Arena: all code categoriesNot measured1182Only Step 3.7 Flash measured
Design Arena: SVGNot measured1085Only Step 3.7 Flash measured
Design Arena: ASCII artNot measured1152Only Step 3.7 Flash measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
General benchmarks for Command R (08-2024) and Step 3.7 Flash
BenchmarkCommand R (08-2024)Step 3.7 FlashLeader
IFBenchNot measured67.3%Only Step 3.7 Flash measured
Long context reasoning (AA-LCR)Not measured73.7%Only Step 3.7 Flash measured
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 30 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 3.7 Flash
BenchmarkCommand R (08-2024)Step 3.7 FlashLeader
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 3.7 Flash$0.0008Fits 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 3.7 Flash$0.013Fits 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 3.7 Flash$0.051Fits 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 3.7 Flash
SpecificationCohere Command R (08-2024)StepFun Step 3.7 Flash
MakerCohereStepFun
WeightsNo public weights listedOpen weights
ReleasedAugust 30, 2024May 28, 2026
Context window128K262K
Input $/Mtok$0.15$0.20
Output $/Mtok$0.60$1.15
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 Step 3.7 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Command R (08-2024) has the edge where output tokens cost 1.9x less.

Which is cheaper, Command R (08-2024) or Step 3.7 Flash?

Command R (08-2024) costs $0.15 per million input tokens and $0.60 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for neither of them.

Which has the bigger context window, Command R (08-2024) or Step 3.7 Flash?

Step 3.7 Flash, with 262K tokens against 128K.

How many benchmarks is the Command R (08-2024) vs Step 3.7 Flash 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 Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

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