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Command R7B (12-2024) vs Relace Search

Command R7B (12-2024) costs 20.0x less per output token than Relace Search ($0.15 vs $3.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Command R7B (12-2024)Cohere
Coding
No data
Overall
No data
Output $/M
$0.15
Relace SearchRelace
Coding
No data
Overall
No data
Output $/M
$3.00
vs $0.15 vs $3.00 per 1M output tokens. Command R7B (12-2024) is 20.0x cheaper.

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

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

Pick Command R7B (12-2024) for output tokens 20.0x cheaper ($0.15 vs $3.00 per million).

No benchmark has tested both yet. Command R7B (12-2024) has results on Berkeley Function Calling Leaderboard (BFCL); Relace Search has none yet. 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
Command R7B (12-2024) not benchmarked, Relace Search 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
Command R7B (12-2024) $0.15 against Relace Search $3.00 per million output tokens, 20.0x apart.
Context window
Command R7B (12-2024) takes 128K tokens, Relace Search 256K.

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 Command R7B (12-2024) and Relace Search
BenchmarkCommand R7B (12-2024)Relace SearchLeader
Berkeley Function Calling Leaderboard (BFCL)32.1%Not measuredOnly 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

Command R7B (12-2024)$0.0001Fits in one request
Relace Search$0.0025Fits 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
Relace Search$0.059Fits 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
Relace Search$0.230Fits 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 Relace Search
SpecificationCohere Command R7B (12-2024)Relace Search
MakerCohereRelace
WeightsNo public weights listedNo public weights listed
ReleasedDecember 14, 2024December 8, 2025
Context window128K256K
Input $/Mtok$0.0375$1.00
Output $/Mtok$0.15$3.00
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 Relace Search for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command R7B (12-2024) for output tokens 20.0x cheaper ($0.15 vs $3.00 per million).

Which is cheaper, Command R7B (12-2024) or Relace Search?

Command R7B (12-2024) costs $0.0375 per million input tokens and $0.15 per million output tokens; Relace Search costs $1.00 and $3.00. Cost per solved task is known for neither of them.

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

Relace Search, with 256K tokens against 128K.

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

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

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