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Uncensored vs Command R7B (12-2024)

Command R7B (12-2024) costs 6.0x less per output token than Uncensored ($0.15 vs $0.90 per million). Updated October 22, 2026; no benchmark has tested both models yet.

C UncensoredCognitive Computations
Coding
No data
Overall
No data
Output $/M
$0.90
Command R7B (12-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.15
vs $0.90 vs $0.15 per 1M output tokens. Command R7B (12-2024) is 6.0x cheaper.

Uncensored or Command R7B (12-2024): which to pick

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

Compare them on price, context and the boards below.

No benchmark has tested both yet. Uncensored has none yet; Command R7B (12-2024) on Berkeley Function Calling Leaderboard (BFCL). Compare them on price and context instead.

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
Uncensored not benchmarked, Command R7B (12-2024) not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Uncensored $0.90 against Command R7B (12-2024) $0.15 per million output tokens, 6.0x apart.
Context window
Both take 128K tokens.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for Uncensored and Command R7B (12-2024)
BenchmarkUncensoredCommand R7B (12-2024)Leader
Berkeley Function Calling Leaderboard (BFCL)Not measured32.1%Only Command R7B (12-2024) measured
Neither model has a result on the other 40 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

Uncensored$0.0006Fits 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

Uncensored$0.013Fits 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

Uncensored$0.049Exceeds 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 Uncensored and Command R7B (12-2024)
SpecificationVenice UncensoredCohere Command R7B (12-2024)
MakerCognitive ComputationsCohere
WeightsOpen weightsNo public weights listed
ReleasedJuly 9, 2025December 14, 2024
Context window128K128K
Input $/Mtok$0.20$0.0375
Output $/Mtok$0.90$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Uncensored better than Command R7B (12-2024) 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, Uncensored or Command R7B (12-2024)?

Uncensored costs $0.20 per million input tokens and $0.90 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, Uncensored or Command R7B (12-2024)?

Neither: both take 128K tokens.

Has any benchmark tested both Uncensored and Command R7B (12-2024)?

No benchmark has tested both yet. Uncensored has none yet; Command R7B (12-2024) on Berkeley Function Calling Leaderboard (BFCL). Compare them on price and context instead. Data as of October 22, 2026.

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