Intelligence des modèles d'IA

Cohere Command R

github-models/command-r

Par github-models · famille: command-r · sorti 2024-03-11 · fin de connaissance: 2024-03

⚠ Il s'agit d'un fine-tune communautaire ou dérivé — pas d'une publication officielle de l'éditeur.

Inconnu
Entrée / 1M jetons
Inconnu
Sortie / 1M jetons
128K
Fenêtre de contexte
4K
Sortie max

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacités

Tool callingRaisonnement? Sortie structuréePièces jointesPoids ouvertsContrôle de température
Modalités: entrée text · sortie text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding53
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)2/20
  • Provider availability1/10
Agents51
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit0/15
  • Provider availability1/10
JSON / structured output30
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume0/20
Cost efficiency0
  • Has published price0/100
Long context35
  • Context window (100K → 2M)35/90
  • Has published price for full window0/10
Production-readiness30
  • Number of independent providers5/40
  • Has published per-token price0/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers10/10
  • Official model (not derivative)0/15

Cost Efficiency Index

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Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

This model has no published per-token price, so we can't compute a cost estimate. See the provider's official pricing page for current rates.

Disponible chez 1 fournisseurs

FournisseurID modèle fournisseurEntrée / 1MSortie / 1MContextePublié le
GitHub Models
github-models
cohere/cohere-command-rUnknownUnknown128K2024-03-11

Frequently asked questions

How much does Cohere Command R cost?

Cohere Command R does not have a publicly published per-token price in our data source. This usually means it is gated behind enterprise sales or invite access. Check github-models's official pricing page for the most current rates.

What is the context window of Cohere Command R?

Cohere Command R has a context window of 128K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.

Does Cohere Command R support tool calling?

Yes. Cohere Command R supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Cohere Command R support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Cohere Command R in our data source. Verify with github-models's official documentation before relying on it in production.

Can Cohere Command R accept image input?

No. Cohere Command R only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Cohere Command R open-weight?

No. Cohere Command R is a proprietary model — only github-models (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Cohere Command R?

If Cohere Command R doesn't fit, consider AI21 Jamba 1.5 Mini, AI21 Jamba 1.5 Large, JAIS 30b Chat. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

More github-models models

Capability lists this model is in

Dernière mise à jour :

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.