Claude 3.7 Sonnet is Anthropic's most advanced model yet and the first hybrid reasoning AI on the market. It offers both standard and extended thinking modes, with the latter providing transparent, step-by-step reasoning. The model excels in coding and front-end web development, achieving state-of-the-art results on SWE-bench Verified and TAU-bench. Available via Claude.ai, the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI, it sets a new benchmark for intelligent AI-driven problem-solving.
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.
| Claude 3.7 Sonnet | Command A | |
|---|---|---|
Provider | ||
Web Site | ||
Release Date | Feb 24, 2025 1 month ago | Mar 14, 2025 1 month ago |
Modalities | text images | text |
API Providers | Claude.ai, Anthropic API, Amazon Bedrock, Google Cloud Vertex AI | Cohere, Hugging Face, Major cloud providers |
Knowledge Cut-off Date | - | - |
Open Source | No | Yes |
Pricing Input | $3.00 per million tokens | $2.50 per million tokens |
Pricing Output | $15.00 per million tokens | $10.00 per million tokens |
MMLU | Not available | 85.5% Source |
MMLU Pro | Not available | Not available |
MMMU | 71.8% Source | Not available |
HellaSwag | Not available | Not available |
HumanEval | Not available | Not available |
MATH | 82.2% Source | 80% Source |
GPQA | 68% Diamond Source | 50.8% Source |
IFEval | 90.8% Source | 90.9% Source |
Mobile Application | - |
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