Command R

Released
2024-04-04
Last refreshed
2026-10-08
Status
Researched 181d ago
DeprecatedOpen weightsCommercial use: non-commercialCodingRAGLong contextClassificationJSON / Tool use

Command R is a legacy integration reference; keep it only while you identify a current replacement.

Cohere releases · 5 in the last 12 monthsChangelog →
Specifications
Family
Command R
Released
2024-04-04
Context
128K
Parameters
104B*
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
CC-BY-NC-4.0Commercial use: non-commercial
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Empowering developers with advanced language AI.

Toronto, Ontario, Canada
Founded 2022
Website
Pricing
Output / 1M
$0.600
Input / 1M
$0.150

Cheapest of 6 routes · OpenRouter

About

Command R is a 35-billion parameter large language model developed by Cohere, tailored for enterprise-scale AI applications. It is optimized for long-context tasks such as retrieval-augmented generation (RAG) and tool use, emphasizing high performance coupled with strong accuracy. This model excels in reasoning, summarization, and question answering across ten key languages. Its use spans various enterprise applications, automating complex tasks that involve interacting with systems like CRMs, APIs, and databases. The model can process up to 128,000 tokens and integrates seamlessly with Cohere's Embed and Rerank models, enhancing accuracy and efficiency in large-scale tasks.

Providers(6)

Compare all 6

Compare API pricing across 6 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
OpenRouter$0.150$0.600
Serverless
AWS Bedrock$0.500$1.50
Serverless
Cohere API$0.500$1.50
Serverless
Microsoft Foundry$0.500$1.50
Serverless
DeepInfra--
ServerlessPartial
OCI Generative AI--
ServerlessPartial

Available via routers & gateways(7)

Capabilities

Structured Outputs

Benchmark peer barsfor Coding

Benchmark scores(4)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
Google-Proof Q&A53.4diamondObserved 2026-03-06—research
HellaSwag90.810-shotObserved 2026-03-06—research
HumanEval77.8pass@1Observed 2026-03-06—Source
Massive Multitask Language Understanding80.25-shotObserved 2026-03-06—Source

Migration checks

No linked migration route is available for this model yet.

Compare Command R with other models