Haiku 4.5
$1/$5 per MTok (input/output)
- Fastest model
- Best for high-volume tasks
- Low-latency responses
Anthropic — Foundation Models Platform
Founded 2021|San Francisco, California|1001-5000 people|Usage-based
What is Anthropic?
Anthropic is an AI safety and research company that builds the Claude family of large language models. Founded in 2021 by Dario Amodei (CEO) and Daniela Amodei (President), along with five other former OpenAI employees, the company is structured as a Public Benefit Corporation with a Long-Term Benefit Trust to prioritize societal benefit.
Claude models are known for strong reasoning capabilities, large context windows (up to 200K tokens), and an emphasis on safety and reliability. Claude Sonnet 4.5 leads as the top coding model with 77.2% on SWE-bench Verified, while the three-tier pricing system (Haiku, Sonnet, Opus) provides flexibility for different use cases. Anthropic pioneered Constitutional AI and created the Model Context Protocol (MCP), now an industry standard for AI tool integration donated to the Linux Foundation.
The company serves enterprise customers through both its API platform and the Claude.ai consumer product. Claude has grown from 2.9 million monthly users in January 2024 to 18.9 million by early 2025, with $850 million in annualized revenue. As of February 2026, Anthropic is valued at approximately $380 billion and employs roughly 2,000-4,000 people across its San Francisco headquarters.
Key features
Core capabilities this platform advertises.
- Claude 4 and Claude 3.5 Sonnet models
- 200K token context window
- Computer use and tool use capabilities
- Strong safety and instruction following
- Claude Code for autonomous coding
Strengths and tradeoffs
What this tool does well, and the limitations to keep in mind.
Pros
- Industry-leading instruction-following and reasoning capabilities
- Top-ranked coding model (Sonnet 4.5 at 77.2% SWE-bench)
- Large 200K context window for long-document analysis
- Strong safety focus with lower hallucination rates
- Flexible three-tier pricing from $1 to $75 per MTok
Cons
- No native image generation capabilities
- Smaller training corpus than some competitors
- Ecosystem integration less mature than OpenAI
- Limited public transparency about model updates and version changes
Plans & pricing
What's included in each plan, and how the tiers compare.
Sonnet 4.5
$3/$15 per MTok (input/output)
- Best coding model
- Balanced performance and cost
- 200K context window
Opus 4.6
$15/$75 per MTok (input/output)
- Most capable model
- Complex reasoning tasks
- Extended thinking
Common use cases
Developers and enterprises who need reliable, safe, and capable AI for production applications
- Long document analysis and summarization
- Complex reasoning and research tasks
- Autonomous coding and software engineering
- Safe customer-facing AI applications
- Enterprise workflow automation
Using Anthropic with Respan
Respan provides a unified gateway for Anthropic Claude API calls alongside 250+ other LLMs. Teams can route requests through Respan to monitor Claude usage, compare model performance, and enable automatic fallback between Claude and other providers for maximum reliability.
- Monitor Claude API costs and usage in real-time
- Enable automatic fallback between Claude models and alternatives
- Compare Claude performance against competing models
- Cache repeated Claude queries to reduce costs by up to 70%
Best Anthropic alternatives & competitors
Top companies in Foundation Models you can use instead of Anthropic.
OpenAI
GPT-4o and GPT-4 Turbo frontier models
Google AI
Gemini 2.0 multimodal models
Meta AI
Llama open-source model family
Mistral AI
Mistral Large and Mixtral models
Voyage AI (MongoDB)
Text & multimodal embeddings
Cohere
Command R+ for RAG applications
Microsoft
Small language models
xAI
Grok models with real-time data access
DeepSeek
DeepSeek-V3 and DeepSeek-R1 models
Databricks (DBRX)
Moonshot AI
Black Forest Labs
Image generation
Alibaba Qwen
Qwen2 open-source model series
Snowflake
Arctic models
Stability AI
Stable Diffusion image generation
Reka
01.AI
Zhipu AI
Guide Labs
Inherently interpretable LLM architecture
Cascade
Model distillation
Luel
Natural language to training data
Compare Anthropic
Side-by-side comparisons with other tools in this category.
Best integrations for Anthropic
Companies from adjacent layers in the AI stack that work well with Anthropic.
Last verified: February 28, 2026