
Claude 3.5 Haiku, developed by Anthropic, offers a 200,000-token context window. Pricing is set at $1 per million input tokens and $5 per million output tokens, with potential savings of up to 90% through prompt caching and 50% via the Message Batches API. Released on November 4, 2024, this model excels in code completion, interactive chatbots, data extraction and labeling, as well as real-time content moderation.
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 3.5 Haiku | Command A | |
|---|---|---|
Web Site
| ||
Provider
| ||
Chat
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Release Date
| ||
Modalities
| text | text |
API Providers
| Anthropic, AWS Bedrock, Vertex AI | Cohere, Hugging Face, Major cloud providers |
Knowledge Cut-off Date
| 01.04.2024 | - |
Open Source
| No | Yes |
Pricing Input
| $0.80 per million tokens | $2.50 per million tokens |
Pricing Output
| $4.00 | $10.00 per million tokens |
MMLU
| Not available | 85.5% Source |
MMLU-Pro
| 65% 0-shot CoT Source | Not available |
MMMU
| Not available | Not available |
HellaSwag
| Not available | Not available |
HumanEval
| 88.1% 0-shot Source | Not available |
MATH
| 69.4% 0-shot CoT Source | 80% Source |
GPQA
| Not available | 50.8% Source |
IFEval
| Not available | 90.9% Source |
SimpleQA
| - | - |
AIME 2024 | - | - |
AIME 2025 | - | - |
Aider Polyglot
| - | - |
LiveCodeBench v5
| - | - |
Global MMLU (Lite)
| - | - |
MathVista
| - | - |
Mobile Application | - |
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