AI UpdatesToday
Track AI model updates and LLM releases in real-time. Version releases, API changes, and improvements for GPT, Claude, Gemini, Llama, and 500+ language models.
Model Version Timeline
Track all LLM releases and version updates
Understanding LLM Versioning
AI model versioning follows patterns that help developers understand capabilities and stability. Major versions (GPT-3 → GPT-4, Claude 2 → Claude 3) indicate significant capability improvements and may require prompt adjustments. Minor updates (GPT-4 → GPT-4 Turbo) offer performance optimizations, cost reductions, or context window expansions while maintaining compatibility.
Organizations use various naming conventions: OpenAI uses dated snapshots (gpt-4-0613), Anthropic uses descriptive tiers (Claude 3.5 Sonnet), and Google uses generation markers (Gemini 1.5 Pro). Understanding these patterns helps you make informed decisions about when to upgrade and how to manage deprecations.
Active AI Organizations
Track model releases from leading AI labs
OpenAI
Anthropic
StepFun
Moonshot AI
Zhipu AI
LG AI Research
MiniMax
Xiaomi
Compare AI models
Free side-by-side comparisons
The Pace of AI Development
The AI industry is releasing new models at an unprecedented rate. We track 242+ model releases across major organizations. Capabilities that seemed cutting-edge months ago are now baseline expectations.
Key trends include reasoning models (OpenAI o1, DeepSeek-R1) trading speed for accuracy, multimodal capabilities becoming standard across frontier models, and efficiency improvements delivering GPT-4-level performance at dramatically lower costs.
API Provider Updates
Pricing, latency, and feature updates from inference providers
OpenAI
Replicate
DeepInfra
Novita
Fireworks
Bedrock
xAI
Anthropic
Choosing an API Provider
Key factors for selecting an inference provider
Pricing models
Providers charge per-token (input/output priced separately), per-request, or offer committed use discounts. For high-volume apps, $0.50/M token differences translate to thousands in monthly savings.
Latency & throughput
First-token latency matters for interactive apps; total generation time for batch processing. Throughput (tokens/sec) is critical for real-time applications and agent workflows.
Model selection
First-party providers (OpenAI, Anthropic) offer latest models first. Third-party providers (Together, Fireworks, Groq) often provide same quality at lower cost plus open-source alternatives.
Reliability & support
Uptime, rate limits, and SLAs vary significantly. For production workloads, consider multi-provider strategies with automatic failover. Check our provider rankings.
Frequently Asked Questions
Common questions about LLM updates, version releases, and API changes
What are the latest LLM version updates?
How do I track API changes and pricing updates?
How do I compare different versions of an LLM?
Which organizations release the most LLM updates?
How often is this page updated?
Explore More
Dive deeper into LLM data, benchmarks, and comparisons