High confidence
Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning...
36
Score Trend
14-day history
API Pricing
$0.04/M in
$0.15/M out
Context Window
128.0K
4.0K max output
#367range #348-#377Top 97%
#1#378
Signal Overview
Score Breakdown
| Signal | Strength | Weight | Impact |
|---|---|---|---|
| Pricingjust now | 100 | 15% | +15.0 |
| Benchmarksjust now | 38 | 30% | +11.4 |
| Context Windowjust now | 81 | 10% | +8.1 |
| Capabilitiesjust now | 33 | 20% | +6.7 |
| Output Capacityjust now | 60 | 10% | +6.0 |
| Recencyjust now | 23 | 15% | +3.4 |
Benchmark Performance
Benchmark Scores(4 benchmarks)
Capabilities
Reasoning
Vision
Function Calling
JSON Mode
Streaming
Web Search
Image Output
Modalities
Input
text
Output
text
Recent Cohere releases
View this model against the provider’s recent shipping cadence.
Reviews
Community and practitioner feedback adds real-world signal on top of benchmarks and pricing.
Reviews
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Frequently Asked Questions
Command R7B (12-2024) by Cohere excels in the Coding category, where it ranks #367 with a composite score of 36/100. Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning... It is particularly strong in areas highlighted by its top benchmark performance and adoption metrics, making it suitable for both individual developers and enterprise teams looking for a reliable coding solution.
Command R7B (12-2024) is priced at $0.04 per million input tokens and $0.15 per million output tokens (USD). Contact the provider for volume discounts and enterprise pricing. Pricing is competitive within the coding category and reflects the model's quality-to-cost ratio.
In the Coding category, Command R7B (12-2024) holds rank #367 out of 377 models tracked. Its quality rank is #367 and adoption rank is #367. You can use our comparison tool at /compare to see detailed side-by-side metrics with specific alternatives. Key differentiators include its composite scoring across benchmarks, community sentiment, and real-world adoption rates.
Command R7B (12-2024) has been evaluated across 6 different signals. Its strongest areas include Capabilities (33/100), Benchmarks (38/100), Pricing (100/100). These scores are derived from industry-standard benchmarks, community ratings, and real-world performance metrics. The composite score of 36/100 reflects a weighted combination of all tracked signals.
Command R7B (12-2024) is a paid model, though some providers may offer trial credits or limited free tiers for evaluation. Check Cohere's website for current free tier availability and promotional offers.
Command R7B (12-2024) supports a 128K token context window (128,000 tokens total). That translates to roughly 96,000 words in a single prompt. This is large enough to process entire codebases, research papers, or long conversation histories in one shot.
Command R7B (12-2024) can generate up to 4K output tokens (4,000 tokens) per response. That is roughly 3,000 words. Sufficient for typical conversations, code snippets, and summaries.
Command R7B (12-2024) supports structured JSON output, streaming responses. These capabilities determine which workflows and integrations the model can handle natively.
Command R7B (12-2024) was developed by Cohere. It was released on December 14, 2024. You can access it through Cohere's API. Check our provider page for all models from Cohere and how they compare against each other.
Pick Command R7B (12-2024) when you need a budget-friendly option for high-volume, simpler tasks where you prioritize cost over peak performance. If your task is straightforward text completion or classification, a cheaper model might give you 90% of the quality at a fraction of the price. Run a quick benchmark on your actual use case before committing.
You can access Command R7B (12-2024) through Cohere's API using standard HTTP requests or their official SDK. Most providers support OpenAI-compatible endpoints, so switching between models often requires changing just the model name in your API call. Streaming is supported for real-time token-by-token output. For production use, implement proper error handling, rate limiting, and cost monitoring.
Key Info
Benchmark Scores(4 benchmarks)
Data updated: Aug 10, 2026Benchmarks: Aug 10, 2026Status: Aug 10, 2026
Pricing Tools
Pricingper 1M tokens
Best value
99% cheaper than category average
Input
$0.04
-99% vs avg
Output
$0.15
-99% vs avg
Cost Estimator
Input: 70%Output: 30%
Est. monthly cost$0.71
Category average$53.54
You save $52.83/month vs category average
Access & Availability
Hosted APIAvailable
PlaygroundAvailable
Open weightsNo
Hugging FaceNot listed
Why This Rank
+Pricing
-Benchmarks
+Context Window
-Capabilities