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Command R+

cohere·cohere/command-r-plus-08-2024·GA·Open weights·command-r series
Cohere's RAG workhorse for long-context enterprise search and tool use

Command R+ by cohere is offered by 7 providers on this page. Public prices are shown for 6 of them. Its official list price is $2.50 per 1M input tokens and $10.00 per 1M output tokens.

Artificial Analysis rates it 5.3 on the Intelligence Index. Against its lowest blended price of $4.38 per 1M, that is roughly 1 index points per dollar, which is the value ratio the leaderboards rank on.

The context window is 128,000 tokens, with an output limit of 4,000 tokens. It supports tool use and structured output. The weights are open, so it can also be self-hosted or served through a gateway of your choice. Providers report the capability flags inconsistently, so verify a specific feature against the host you plan to use. Its training knowledge cuts off at 2024-06-01.

Specs & pricing

Input / output per 1M tokens
Official price·Cohere
$2.50 / $10.00
Blended $4.38 · Cache read —
Lowest paid·CohereFirst-party
$2.50 / $10.00
Blended $4.38 · 1.1× spread
Context
128,000
Output limit
4,000
Knowledge cutoff
2024-06-01
Released / updated
2024-08-30 / 2024-08-30
Capabilities
Reasoning✓ Tool use✓ Structured output✓ TemperatureAttachments
⚠ Providers report capability flags inconsistently
Modalities
Text
Weights
Hugging Face

Quality & performanceArtificial Analysis · Intelligence Index v4.3

Intelligence5.3
Value1
Coding—
Agentic—
Output speed—
TTFT—
Value formulaIQ 5.3 ÷ min blended $4.375 = 1
Reasoning tier → intelligence / speed (higher tier = stronger but slower)
defaultIQ 5
defaultIQ 5.3

Quality is independently evaluated by Artificial Analysis. Speed/latency are model-level medians.

Available at 7 providers6 with public prices

ProviderTierInputOutputCache readCache writeContextOutput limitStatus
CohereOfficialFirst-party$2.50$10.00——128,0004,000
Kilo GatewayGateway$2.50$10.00——128,0004,000
OpenRouterGateway$2.50$10.00——128,0004,000
Merge GatewayGateway$2.50$10.00——128,0004,000
Eden AIGateway$2.50$10.00——128,0004,000
NanoGPTGateway$2.86$14.25$1.43—128,0004,096
AnyAPIGateway————128,0004,000hostTable.undisclosed

Sorted by blended price (input×0.75 + output×0.25) asc. The official channel always shows regardless of rank. Whether a gateway's low price is actually usable can't be verified.

Your usage cost

1Cohere · Official$1,000.00
2Kilo Gateway$1,000.00
3OpenRouter$1,000.00
4Merge Gateway$1,000.00
5Eden AI$1,000.00
6NanoGPT$1,112.14
The cheapest paid channel is official.

Price historyone sample accumulated per data sync

Input listOutput listMin blended
$14.25$02026-08-052026-10-112026-08-05 · Input list $2.862026-08-06 · Input list $2.862026-08-07 · Input list $2.862026-08-08 · Input list $2.862026-08-09 · Input list $2.862026-08-10 · Input list $2.862026-08-11 · Input list $2.862026-08-12 · Input list $2.862026-08-13 · Input list $2.862026-09-03 · Input list $2.502026-10-11 · Input list $2.502026-08-05 · Output list $14.252026-08-06 · Output list $14.252026-08-07 · Output list $14.252026-08-08 · Output list $14.252026-08-09 · Output list $14.252026-08-10 · Output list $14.252026-08-11 · Output list $14.252026-08-12 · Output list $14.252026-08-13 · Output list $14.252026-09-03 · Output list $10.002026-10-11 · Output list $10.002026-08-05 · Min blended $5.702026-08-06 · Min blended $5.702026-08-07 · Min blended $5.702026-08-08 · Min blended $5.702026-08-09 · Min blended $5.702026-08-10 · Min blended $5.702026-08-11 · Min blended $5.702026-08-12 · Min blended $5.702026-08-13 · Min blended $5.702026-09-03 · Min blended $0.262026-10-11 · Min blended $4.38

Artificial Analysis evaluations6 items

GPQA Diamond32.3%
Humanity's Last Exam4.6%
MMLU-Pro43.2%
LiveCodeBench12.2%
AIME0.7%
MATH-50027.9%

Individual evaluations run by Artificial Analysis, on the same reasoning tier as the intelligence score above. Each benchmark has its own task set and harness, so rows are not comparable with one another. The Intelligence Index above draws on a different, newer set of evaluations.

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Data partly from models.dev (MIT) · Cohere official docs ↗