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Command R7B (12-2024) vs Morph V3 Large

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 R7B (12-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.15
Morph V3 LargeMorph
Coding
No data
Overall
No data
Output $/M
$1.90
vs $0.15 vs $1.90 per 1M output tokens. Command R7B (12-2024) is 12.7x cheaper.

Decision reading

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

Command R7B (12-2024) has the edge where output tokens cost 12.7x less.

Shared results
0
Command R7B (12-2024) only
0
Morph V3 Large 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 R7B (12-2024) not benchmarked, Morph V3 Large 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 R7B (12-2024) $0.15 against Morph V3 Large $1.90 per million output tokens, 12.7x apart.
Context window
Command R7B (12-2024) takes 128K tokens, Morph V3 Large 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.

CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for Command R7B (12-2024) and Morph V3 Large
BenchmarkCommand R7B (12-2024)Morph V3 LargeLeader
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 R7B (12-2024) and Morph V3 Large
BenchmarkCommand R7B (12-2024)Morph V3 LargeLeader
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 R7B (12-2024) and Morph V3 Large
BenchmarkCommand R7B (12-2024)Morph V3 LargeLeader
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 R7B (12-2024) and Morph V3 Large
BenchmarkCommand R7B (12-2024)Morph V3 LargeLeader
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 R7B (12-2024) and Morph V3 Large
BenchmarkCommand R7B (12-2024)Morph V3 LargeLeader
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 R7B (12-2024) and Morph V3 Large
BenchmarkCommand R7B (12-2024)Morph V3 LargeLeader
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 R7B (12-2024) and Morph V3 Large
BenchmarkCommand R7B (12-2024)Morph V3 LargeLeader
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 R7B (12-2024) and Morph V3 Large
BenchmarkCommand R7B (12-2024)Morph V3 LargeLeader
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 R7B (12-2024) and Morph V3 Large
BenchmarkCommand R7B (12-2024)Morph V3 LargeLeader
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 R7B (12-2024)$0.0001Fits in one request
Morph V3 Large$0.0019Fits in one request

Command R7B (12-2024) costs less

Repository review

50K input + 3K output tokens

Command R7B (12-2024)$0.0023Fits in one request
Morph V3 Large$0.051Fits in one request

Command R7B (12-2024) costs less

Agent loop

200K input + 10K output tokens

Command R7B (12-2024)$0.0090Exceeds the context window
Morph V3 Large$0.199Fits in one request

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 R7B (12-2024) and Morph V3 Large
SpecificationCohere Command R7B (12-2024)Morph V3 Large
MakerCohereMorph
WeightsNo public weights listedNo public weights listed
ReleasedDecember 14, 2024July 7, 2025
Context window128K262K
Input $/Mtok$0.0375$0.90
Output $/Mtok$0.15$1.90
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command R7B (12-2024) better than Morph V3 Large for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Command R7B (12-2024) has the edge where output tokens cost 12.7x less.

Which is cheaper, Command R7B (12-2024) or Morph V3 Large?

Command R7B (12-2024) costs $0.0375 per million input tokens and $0.15 per million output tokens; Morph V3 Large costs $0.90 and $1.90. Cost per solved task is known for neither of them.

Which has the bigger context window, Command R7B (12-2024) or Morph V3 Large?

Morph V3 Large, with 262K tokens against 128K.

How many benchmarks is the Command R7B (12-2024) vs Morph V3 Large comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Command R7B (12-2024)'s coding index rests on 0 independent benchmarks and Morph V3 Large's on 0. Where only one model has a result, the page says so instead of naming a winner.

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