Cohere
Command R7B (12-2024)
Tool callingStructured output
Cohere retrieval model for long-context chat and enterprise RAG workflows
- Context
- 128K
- Released
- 1y ago
- Parameters
- —
- Input / 1M tokens
- $0.04
- Output / 1M tokens
- $0.15
Sources:models.devOpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- Cohere
- Model family
- Command R
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- December 2, 2024
- Model ID
cohere/command-r7b-12-2024- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Tokenizer
- Cohere
- Max output tokens
- 4K
- Knowledge cutoff
- 2024-06-01
- Hugging Face
- —
- Source freshness
- Metadata synced Oct 8, 2026, 10:17 PM UTC
Additional source evidence
- Source model
- cohere/command-r7b-12-2024
- Source family
- command-r
- Last updated
- 2024-12-02
- Knowledge cutoff
- 2024-06-01
- Model context
- 128K
- Model output limit
- 4K
- Open weights
- Yes
- File attachments
- No
- Reasoning
- No
- Tool calling
- Yes
- Temperature control
- Yes
Downloadable weights
Complete source record (JSON)
{
"id": "cohere/command-r7b-12-2024",
"name": "Command R7B",
"description": "Cohere retrieval model for long-context chat and enterprise RAG workflows",
"family": "command-r",
"last_updated": "2024-12-02",
"knowledge": "2024-06-01",
"attachment": false,
"reasoning": false,
"tool_call": true,
"temperature": true,
"modalities": {
"input": [
"text"
],
"output": [
"text"
]
},
"limit": {
"context": 128000,
"output": 4000
},
"release_date": "2024-12-02",
"open_weights": true,
"weights": [
{
"label": "Hugging Face",
"url": "https://huggingface.co/CohereLabs/c4ai-command-r7b-12-2024"
}
]
}Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| cohere | 128K | $0.04 | $0.15 | — | — | 100.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.