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Command A+ vs Command R7B (12-2024)

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 A+Cohere
Coding
No data
Overall
No data
Output $/M
$1.50
Command R7B (12-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.15
vs $1.50 vs $0.15 per 1M output tokens. Command R7B (12-2024) is 10.0x cheaper.

Decision reading

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

Command A+ has the edge where the context window is larger, 192K against 128K tokens.

Shared results
0
Command A+ only
0
Command R7B (12-2024) 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 A+ not benchmarked, Command R7B (12-2024) 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 A+ $1.50 against Command R7B (12-2024) $0.15 per million output tokens, 10.0x apart.
Context window
Command A+ takes 192K tokens, Command R7B (12-2024) 128K.

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.

CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for Command A+ and Command R7B (12-2024)
BenchmarkCommand A+Command R7B (12-2024)Leader
Neither model has a result on 38 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for Command A+ and Command R7B (12-2024)
BenchmarkCommand A+Command R7B (12-2024)Leader
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 A+ and Command R7B (12-2024)
BenchmarkCommand A+Command R7B (12-2024)Leader
Neither model has a result on 39 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for Command A+ and Command R7B (12-2024)
BenchmarkCommand A+Command R7B (12-2024)Leader
Neither model has a result on 21 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Command A+ and Command R7B (12-2024)
BenchmarkCommand A+Command R7B (12-2024)Leader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for Command A+ and Command R7B (12-2024)
BenchmarkCommand A+Command R7B (12-2024)Leader
Neither model has a result on 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Command A+ and Command R7B (12-2024)
BenchmarkCommand A+Command R7B (12-2024)Leader
Neither model has a result on 9 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for Command A+ and Command R7B (12-2024)
BenchmarkCommand A+Command R7B (12-2024)Leader
Neither model has a result on 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command A+ and Command R7B (12-2024)
BenchmarkCommand A+Command R7B (12-2024)Leader
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 A+$0.0010Fits in one request
Command R7B (12-2024)$0.0001Fits in one request

Command R7B (12-2024) costs less

Repository review

50K input + 3K output tokens

Command A+$0.019Fits in one request
Command R7B (12-2024)$0.0023Fits in one request

Command R7B (12-2024) costs less

Agent loop

200K input + 10K output tokens

Command A+$0.075Exceeds the context window
Command R7B (12-2024)$0.0090Exceeds the context window

Command R7B (12-2024) 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 A+ and Command R7B (12-2024)
SpecificationCohere Command A+Cohere Command R7B (12-2024)
MakerCohereCohere
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 22, 2026December 14, 2024
Context window192K128K
Input $/Mtok$0.30$0.0375
Output $/Mtok$1.50$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A+ better than Command R7B (12-2024) for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Command A+ has the edge where the context window is larger, 192K against 128K tokens.

Which is cheaper, Command A+ or Command R7B (12-2024)?

Command A+ costs $0.30 per million input tokens and $1.50 per million output tokens; Command R7B (12-2024) costs $0.0375 and $0.15. Cost per solved task is known for neither of them.

Which has the bigger context window, Command A+ or Command R7B (12-2024)?

Command A+, with 192K tokens against 128K.

How many benchmarks is the Command A+ vs Command R7B (12-2024) comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Command A+'s coding index rests on 0 independent benchmarks and Command R7B (12-2024)'s on 0. Where only one model has a result, the page says so instead of naming a winner.

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