Cohere • LLM
command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...
Context Window
128K tokens
Input Price/1M
$2.50
Output Price/1M
$10.00
Parameters
—
Max Output
4K tokens
Cohere: Command R+ (08-2024) results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| LiveCodeBench | 12.2 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MATH-500 | 27.9 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 8.3 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| MMLU Pro | 43.2 | 100.0 | Artificial Analysis official API |
| GPQA Diamond | 32.3 | 100.0 | Artificial Analysis official API |
Cohere: Command R+ (08-2024) is an AI model developed by Cohere, classified as a large language model (LLM). It focuses on text processing and natural language generation. As a proprietary model, it is available via Cohere's cloud API. With a context window of 128K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Cohere: Command R+ (08-2024) is usage-based, priced at $2.5/1M input tokens and $10/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Cohere: Command R+ (08-2024) was evaluated on 5 different benchmarks, covering categories like Coding, Math, overall, Reasoning. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Cohere: Command R+ (08-2024) is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Cohere: Command R+ (08-2024) competes directly with similarly capable models. Cohere competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...
Cohere: Command R+ (08-2024) costs $2.5/1M input tokens and $10/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Cohere: Command R+ (08-2024) scored: LiveCodeBench: 12.2/100, MATH-500: 27.9/100, AA Intelligence Index: 8.3/100. See the full table above for a detailed comparison.
No, Cohere: Command R+ (08-2024) is a proprietary model from Cohere. It is available via cloud API. For open source alternatives, check our open source model ranking.
Cohere: Command R+ (08-2024) excels at general-purpose language tasks. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: May 24, 2026 • View methodology →