Claude 3 \ Anthropic vs GLM-130B
Compare Claude 3 \ Anthropic vs GLM-130B and see which AI Large Language Model (LLM) tool is better when we compare features, reviews, pricing, alternatives, upvotes, etc.
Which one is better? Claude 3 \ Anthropic or GLM-130B?
When we compare Claude 3 \ Anthropic with GLM-130B, which are both AI-powered large language model (llm) tools, The community has spoken, Claude 3 \ Anthropic leads with more upvotes. Claude 3 \ Anthropic has received 8 upvotes from aitools.fyi users, while GLM-130B has received 7 upvotes.
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Claude 3 \ Anthropic
What is Claude 3 \ Anthropic?
Claude 3 is Anthropic's third-generation large language model family, released in March 2024. It includes three tiers: Haiku for speed and cost, Sonnet for balanced performance, and Opus for the highest reasoning depth. Each model targets a different tradeoff between intelligence, latency, and price.
The family handles text, code, analysis, and vision tasks. Claude 3 models process photos, charts, graphs, and technical diagrams. They support a 200K token context window at launch, with inputs exceeding 1 million tokens available to select customers. Opus and Sonnet launched on claude.ai and the Claude API in 159 countries, with Haiku following shortly after.
Anthropic built Claude 3 with Constitutional AI safety methods and Responsible Scaling Policy guardrails. The models are available through the Claude API, Amazon Bedrock, and Google Cloud Vertex AI. Sonnet powers the free tier on claude.ai, while Opus is available to Claude Pro subscribers.
GLM-130B
What is GLM-130B?
GLM-130B, showcased at ICLR 2023, represents a groundbreaking open bilingual pre-trained model that stands out with its impressive 130 billion parameters. Developed for bidirectional dense modeling in both English and Chinese, the GLM-130B leverages the General Language Model (GLM) algorithm for pre-training and is optimized to run inference tasks on a single server setup whether it be the A100 (40G * 8) or the V100 (32G * 8). Furthermore, its compatibility with INT4 quantization means that the already modest hardware requirements can be reduced even further, allowing a server with 4 * RTX 3090 (24G) to support the model with minimal performance degradation.
As part of its training process, the GLM-130B has digested an extensive dataset consisting of over 400 billion text tokens, equally divided between Chinese and English. It boasts exceptional bilingual support, superior performance across various datasets when compared to its counterparts, and offers fast inference times. Additionally, this repository also promotes reproducibility by facilitating open-source code and model checkpoints for over 30 tasks.
Claude 3 \ Anthropic Upvotes
GLM-130B Upvotes
Claude 3 \ Anthropic Top Features
Three model tiers (Haiku, Sonnet, Opus) let you pick the right balance of speed, cost, and reasoning depth
200K token context window at launch, with 1M+ token inputs available to select enterprise customers
Vision support for photos, charts, graphs, PDFs, and technical diagrams
Near-instant responses from Haiku for live chat, auto-complete, and data extraction workloads
Available on claude.ai, the Claude API, Amazon Bedrock, and Google Cloud Vertex AI
GLM-130B Top Features
Bilingual Support: GLM-130B caters to both English and Chinese language models.
High Performance: Comprehensive benchmarks show GLM-130B outperforming rival models across diverse datasets.
Fast Inference: Utilizes SAT and FasterTransformer for rapid inference on a single A100 server.
Reproducibility: Consistent results across more than 30 tasks, thanks to open-source code and model checkpoints.
Cross-Platform Compatibility: Accommodates a range of platforms including NVIDIA, Hygon DCU, Ascend 910, and Sunway.
Claude 3 \ Anthropic Category
- Large Language Model (LLM)
GLM-130B Category
- Large Language Model (LLM)
Claude 3 \ Anthropic Pricing Type
- Freemium
GLM-130B Pricing Type
- Free