AI Model Timeline

Explore the history and evolution of major AI models from GPT-3 to today

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Model Release Timeline

24

2024

GPT-4o

Dec
OpenAI

Multimodal flagship

Claude 3.5 Sonnet

Nov
Anthropic

Best coding model

o1-preview

Sep
OpenAI

Reasoning model

GPT-4o mini

Jul
OpenAI

Efficient model

GPT-4o

May
OpenAI

Omni model

Gemini 1.5 Pro

May
Google

1M context

Claude 3 Opus

Mar
Anthropic

200K context

Gemini 1.5

Feb
Google

Long context

23

2023

Gemini Pro

Dec
Google

Multimodal

GPT-4 Turbo

Nov
OpenAI

128K context

Claude 2

Jul
Anthropic

100K context

Llama 2

Jul
Meta

Open source

GPT-4

Mar
OpenAI

Vision capable

Claude 1

Mar
Anthropic

Constitutional AI

22

2022

ChatGPT

Nov
OpenAI

Consumer launch

DALL-E 2

Apr
OpenAI

Image gen

InstructGPT

Jan
OpenAI

RLHF training

21

2021

Codex

Aug
OpenAI

Code generation

20

2020

GPT-3

Jun
OpenAI

175B 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

1

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.

2

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.

3

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.

4

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.

Notable: Prices dropped 50-80% compared to 2023 models

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.

Notable: Open-source models became competitive alternatives

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.

Notable: 100M users in 2 months - fastest app adoption ever

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.

Notable: First models with genuine reasoning 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

Context Window Expansion — From 4K tokens (GPT-3) to 2M tokens (Gemini 1.5) in just 4 years. Larger context enables processing entire codebases, books, or conversation histories.
Price Compression — GPT-4's initial pricing was $60/1M output tokens. GPT-4o-mini now offers similar quality for $0.60/1M - a 100x reduction in just 18 months.
Multimodal Integration — Models have evolved from text-only to understanding images, audio, and video. GPT-4o and Gemini 1.5 can process multiple input types natively.
Efficiency Improvements — Smaller models now match older larger models. Llama 3.1 8B rivals GPT-3.5. Claude 3 Haiku outperforms Claude 2 at a fraction of the cost.

Model Release Reference

YearMajor ReleasesKey Innovation
2024GPT-4o, Claude 3.5, Gemini 1.5, o1Multimodal + reasoning models
2023GPT-4, Claude 2, Llama 2, GeminiVision + open-source competition
2022ChatGPT, Claude 1, Stable DiffusionConsumer-friendly interfaces
2020-21GPT-3, Codex, DALL-EEmergent 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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Model Comparison

Compare current models side-by-side across pricing, capabilities, context windows, and benchmarks.

Benchmark Viewer

See how models perform on standard tests like MMLU, HumanEval, and reasoning benchmarks.

Provider Status

Check real-time availability and health status of all major AI providers.

Pricing Table

View current pricing for all models with live data from provider APIs.