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AI models of 2024: who released what

Every notable model release month by month: vendor and its country, open or closed weights, type, context window, size of open models — and which tasks the models of each year lead today.

2024 59 releases · 37 with open weights

Models of 2024 leading each task today

December

  1. B DeepSeek V3 HFDeepSeekChinaOpen weightsLLM164K685B / 37B
  2. B gemini-2.0-flash-001GoogleUnited StatesClosedVision (VLM)990K
  3. C Llama 3.3 70B Instruct HFMetaUnited StatesOpen weightsLLM24K70.6B
  4. B OpenAI o1OpenAIUnited StatesClosedVision (VLM)200K
  5. C veo-2GoogleUnited StatesClosedVideo
  6. EXAONE 3.5 7.8B Instruct AWQ HFLG AI ResearchSouth KoreaOpen weightsLLM7.8B

November

  1. B Qwen2.5 Coder 32B Instruct HFAlibabaChinaOpen weightsLLM33K32.8B
  2. Qwen2.5 Coder 14B Instruct HFAlibabaChinaOpen weightsLLM14.8B
  3. C Mistral LargeMistral AIFranceOpen weightsLLM131K

October

  1. C Aya Expanse 32BCohereCanadaOpen weightsLLM128K
  2. B claude-3-5-haiku-20241022AnthropicUnited StatesClosedVision (VLM)200K
  3. B claude-3-5-sonnet-20241022AnthropicUnited StatesClosedVision (VLM)200K

September

  1. D Llama 3.2 1B Instruct HFMetaUnited StatesOpen weightsLLM60K1.2B
  2. C Llama 3.2 3B Instruct HFMetaUnited StatesOpen weightsLLM80K3.2B
  3. Llama 3.2 1B HFMetaUnited StatesOpen weightsLLM1.2B
  4. Llama 3.2 3B HFMetaUnited StatesOpen weightsLLM3.2B
  5. Qwen2.5 Coder 1.5B HFAlibabaChinaOpen weightsLLM1.5B
  6. Qwen2.5 1.5B Instruct HFAlibabaChinaOpen weightsLLM1.5B
  7. Qwen2.5 32B Instruct HFAlibabaChinaOpen weightsLLM32.8B
  8. Qwen2.5 3B Instruct HFAlibabaChinaOpen weightsLLM3.1B
  9. Qwen2.5 Coder 7B Instruct HFAlibabaChinaOpen weightsLLM7.6B
  10. Qwen2.5 14B Instruct HFAlibabaChinaOpen weightsLLM14.8B
  11. Qwen2.5 7B HFAlibabaChinaOpen weightsLLM7.6B
  12. B o1-miniOpenAIUnited StatesClosedLLM128K
  13. B Qwen2.5 72B Instruct HFAlibabaChinaOpen weightsLLM131K72.7B
  14. Qwen2.5 7B Instruct HFAlibabaChinaOpen weightsLLM131K7.6B
  15. Qwen2.5 VL 72B Instruct HFAlibabaChinaOpen weightsVision (VLM)131K73.4B

August

  1. C Command R (08-2024)CohereCanadaOpen weightsLLM128K
  2. C Command R+ (08-2024)CohereCanadaOpen weightsLLM128K
  3. Hermes 3 70B Instruct HFNous ResearchUnited StatesOpen weightsLLM66K70.6B
  4. Hermes 3 405B Instruct HFNous ResearchUnited StatesClosedLLM131K
  5. B grok-2-2024-08-13xAIUnited StatesClosedLLM131K
  6. B grok-2-mini-2024-08-13xAIUnited StatesClosedLLM
  7. B GPT-4o (2024-08-06)OpenAIUnited StatesClosedVision (VLM)128K
  8. D flux-1-dev-fp8Black Forest LabsGermanyClosedImage

July

  1. C Llama 3.1 70B Instruct HFMetaUnited StatesOpen weightsLLM131K70.6B
  2. C Llama 3.1 8B Instruct HFMetaUnited StatesOpen weightsLLM32K8B
  3. B GPT-4o-mini (2024-07-18)OpenAIUnited StatesClosedVision (VLM)128K
  4. Llama 3.1 8B Instruct HFMetaUnited StatesOpen weightsLLM8B
  5. C gemma-2-2b-it HFGoogleUnited StatesOpen weightsLLM128K2.6B
  6. Llama 3.1 8B HFMetaUnited StatesOpen weightsLLM8B
  7. C Gemma 2 27B HFGoogleUnited StatesClosedLLM8K
  8. C Mistral Large 2407Mistral AIFranceClosedLLM131K
  9. Mistral Nemo HFMistral AIFranceOpen weightsLLM128K12.2B

June

  1. C gemma-2-9b-it HFGoogleUnited StatesClosedLLM8K
  2. Llama 3 Groq 8B Tool Use HFGroqUnited StatesOpen weightsLLM8B
  3. DeepSeek Coder V2 Lite Instruct HFDeepSeekChinaOpen weightsLLM15.7B / 2.7B

May

  1. B GPT-4o (2024-05-13)OpenAIUnited StatesClosedVision (VLM)128K

April

  1. C llama-3-8b-instructMetaUnited StatesOpen weightsLLM8K
  2. C llama-3-70b-instructMetaUnited StatesOpen weightsLLM8K
  3. Meta Llama 3 8B HFMetaUnited StatesOpen weightsLLM8B
  4. Meta Llama 3 8B Instruct HFMetaUnited StatesOpen weightsLLM8B
  5. Mixtral 8x22B Instruct HFMistral AIFranceClosedLLM66K
  6. OpenELM 1 1B Instruct HFAppleUnited StatesOpen weightsLLM1.1B
  7. B Qwen MaxAlibabaChinaClosedLLM33K

March

  1. C claude-3-haiku-20240307AnthropicUnited StatesClosedVision (VLM)200K

February

  1. C claude-3-opus-20240229AnthropicUnited StatesClosedLLM200K
  2. C claude-3-sonnet-20240229AnthropicUnited StatesClosedLLM200K

January

  1. B Qwen PlusAlibabaChinaClosedLLM1M

Release dates come from the model catalogues (models.dev, LiteLLM, Hugging Face); models known only by the year of release are not shown. The leaders of a year are its models that rank highest on our leaderboards today.

Updated · Sources: models.dev (MIT), LiteLLM (MIT), LMArena (CC BY 4.0), Hugging Face

Arena (LMArena) scores: Arena Leaderboard Dataset by LMArena, CC BY 4.0. Modified by fedi.software (filtered, re-ranked, aggregated). Not endorsed by LMArena.

A release calendar of AI labs

This chart puts model releases on a single line of time, newest year first and grouped by month. Each line is one model with its vendor, the country where that company is based, whether the weights are open or closed, its type and its context window. For open models you also see the number of parameters; for a mixture-of-experts (MoE) model the second number is the active part used for each token.

Only models from AI labs make it in: those rated on our leaderboards or with weights published on Hugging Face. Resellers, routers and community fine-tunes are left out, so the list stays a record of who actually built what.

Reading the badges

  • Open weights — the files can be downloaded and run on your own machine; which model fits your hardware tells you what that takes.
  • Closed — the model is reachable only through the vendor's app or API.
  • LLM is a text model, Vision (VLM) also reads images, and Reasoning works through a problem step by step before it answers: slower and pricier per reply, but stronger on maths, code and planning. Image, video and audio generators carry their own badges.

Closed vendors do not publish parameter counts, which is why that cell is empty for them rather than a guess.

The leaders of each year

Above every year sits a strip with the models of that year that lead text, coding, web development, agents, image and video tasks today. This is a present-day view, not a reconstruction of the past: a model released in spring may have been overtaken by autumn, and the strip shows how its generation holds up now on the leaderboards.

Filters, editions and limits

You can narrow the view by vendor, country, open weights and type, or search for a name. Each year also has its own page, a yearly edition you can link to. Release dates come from model catalogues — models.dev, LiteLLM and Hugging Face — and mark the day a model appeared there, which may differ from the announcement by a few days. Models whose sources give only a year are not shown. The country is that of the company's headquarters, not of its data centres or its users.