AI Model Timeline
Explore the history and evolution of major AI models from GPT-3 to today
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Model Release Timeline
2024
GPT-4o
DecMultimodal flagship
Claude 3.5 Sonnet
NovBest coding model
o1-preview
SepReasoning model
GPT-4o mini
JulEfficient model
GPT-4o
MayOmni model
Gemini 1.5 Pro
May1M context
Claude 3 Opus
Mar200K context
Gemini 1.5
FebLong context
2023
Gemini Pro
DecMultimodal
GPT-4 Turbo
Nov128K context
Claude 2
Jul100K context
Llama 2
JulOpen source
GPT-4
MarVision capable
Claude 1
MarConstitutional AI
2022
ChatGPT
NovConsumer launch
DALL-E 2
AprImage gen
InstructGPT
JanRLHF training
2021
Codex
AugCode generation
2020
GPT-3
Jun175B parameters
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The Evolution of AI Language Models
The AI landscape has transformed dramatically since GPT-3's launch in 2020. This timeline tracks the major milestones in large language model development, from early text-only models to today's multimodal systems that can understand images, process audio, generate code, and reason through complex problems with human-like logic.
Understanding this history helps developers appreciate how quickly the field moves and why staying current with model capabilities is essential. A model that was state-of-the-art six months ago may already be outperformed by newer, cheaper alternatives.
This timeline combines release data from major providers with pricing information to show how both capabilities and cost-efficiency have evolved over time.
How to Use This Tool
Browse the Timeline
Scroll through the visual timeline to see when major models were released. Timeline entries include the model name, provider, and key milestone that made each release significant.
Filter by Provider
Use the provider dropdown to focus on a specific company's model releases. This helps track how individual providers have evolved their offerings.
View Current Models
The table below the timeline shows currently available models with live pricing data. Use this to compare historical context with current options.
Understand Trends
Look for patterns: context windows have grown from 4K to 1M+ tokens, prices have dropped dramatically, and multimodal capabilities have become standard.
Key Milestones by Year
2024: The Multimodal Era
GPT-4o brought native multimodality with vision and audio. Claude 3.5 Sonnet achieved best-in-class coding performance. Gemini 1.5 Pro pushed context windows to 1M+ tokens. OpenAI launched o1 with advanced reasoning capabilities.
2023: Competition Intensifies
GPT-4 launched with vision capabilities. Claude 2 reached 100K context. Meta released open-source Llama 2 that rivaled commercial models. Google entered with Gemini Pro. GPT-4 Turbo introduced 128K context at lower prices.
2022: ChatGPT Changes Everything
ChatGPT's November 2022 launch brought AI to mainstream consciousness. The interface made AI accessible to everyone, sparking unprecedented interest, investment, and development in the field.
2020-2021: Foundation Era
GPT-3 (175B parameters) demonstrated emergent abilities. Anthropic founded by ex-OpenAI researchers. Early API access showed commercial potential. Codex powered GitHub Copilot, proving specialized capabilities.
Pro Tip: Model Selection Strategy
Don't always chase the newest model. Older models are often significantly cheaper and may be perfectly adequate for your use case. GPT-3.5-turbo and Claude 3 Haiku are 10-20x cheaper than flagship models while handling most tasks well. Reserve frontier models for complex reasoning tasks that truly require maximum capability.
Key Trends in Model Evolution
Model Release Reference
| Year | Major Releases | Key Innovation |
|---|---|---|
| 2024 | GPT-4o, Claude 3.5, Gemini 1.5, o1 | Multimodal + reasoning models |
| 2023 | GPT-4, Claude 2, Llama 2, Gemini | Vision + open-source competition |
| 2022 | ChatGPT, Claude 1, Stable Diffusion | Consumer-friendly interfaces |
| 2020-21 | GPT-3, Codex, DALL-E | Emergent abilities at scale |
Important: Model Deprecation
Providers regularly deprecate older models. OpenAI typically provides 6-12 months notice before retiring models. Plan for migrations by testing newer alternatives before deprecation deadlines. Monitor provider changelogs and announcements to avoid disruption.
Frequently Asked Questions
How often are new models released?
Major providers typically release significant updates every 3-6 months. OpenAI and Anthropic tend to release flagship models annually with minor versions in between. Google has accelerated releases with Gemini updates. Incremental improvements, new model sizes, and specialized variants come more frequently.
Are older models still available?
Most providers deprecate older models 6-12 months after replacements launch. OpenAI maintains a deprecation schedule on their website. Anthropic retires older Claude versions once newer ones are stable. Check your provider's documentation for specific timelines and plan migrations proactively.
Should I always use the newest model?
Not necessarily. Newer models often cost more and may be overkill for simple tasks. GPT-3.5-turbo and Claude 3 Haiku remain excellent choices for chatbots, summarization, and basic Q&A at a fraction of the cost. Reserve frontier models for complex reasoning, coding, or tasks requiring maximum accuracy.
What's the difference between model versions?
Version suffixes indicate variants: "-mini" or "-small" are cheaper, faster versions; "-turbo" indicates optimized cost/performance; dated suffixes (like "-20240620") indicate specific snapshots. Preview versions may change before becoming stable. Always specify versions in production to avoid unexpected behavior changes.
How do open-source models compare?
Open-source models like Llama 3, Mistral, and Qwen have reached near-parity with commercial APIs for many tasks. They can be self-hosted for zero inference cost (only compute). The trade-off is managing infrastructure and lacking advanced features like function calling or vision in some variants.
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