Command R+ is Cohere’s cutting-edge generative AI model, engineered for enterprise-grade performance where speed, security, and output quality are critical. Designed to run efficiently with minimal infrastructure, it outperforms top-tier models like GPT-4o and DeepSeek-V3 in both capability and cost-effectiveness. Featuring an extended 256K token context window—twice as large as most leading models—it excels at complex multilingual and agent-based tasks essential for modern business operations. Despite its power, it can be deployed on just two GPUs, making it highly accessible. With blazing-fast throughput of up to 156 tokens per second—about 1.75x faster than GPT-4o—Command R+ delivers exceptional efficiency without compromising accuracy or depth.
Mistral Large 2, developed by Mistral, offers a 128K-token context window and is priced at $3.00 per million input tokens and $9.00 per million output tokens. Released on July 24, 2024, the model scored 84.0 on the MMLU benchmark in a 5-shot evaluation, demonstrating strong performance in diverse tasks.
| Command A | Mistral Large 2 | |
|---|---|---|
Web Site
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Provider
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Chat
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Release Date
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Modalities
| text | text |
API Providers
| Cohere, Hugging Face, Major cloud providers | Azure AI, AWS Bedrock, Google AI Studio, Vertex AI, Snowflake Cortex |
Knowledge Cut-off Date
| - | Unknown |
Open Source
| Yes | Yes |
Pricing Input
| $2.50 per million tokens | $3.00 per million tokens |
Pricing Output
| $10.00 per million tokens | $9.00 per million tokens |
MMLU
| 85.5% Source | 84% 5-shot Source |
MMLU-Pro
| Not available | 50.69% Source |
MMMU
| Not available | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| Not available | Not available |
MATH
| 80% Source | 1.13% Source |
GPQA
| 50.8% Source | 24.94% |
IFEval
| 90.9% Source | 84.01% |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - | - |
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