Models

NVIDIA Nemotron 3.5 Super VL

NVIDIA's 120B open-weights multimodal model for agentic enterprise work — 1M-token context, reads text, images, video, and PDFs.

NVIDIA Nemotron 3.5 Bolt 74B-A9B

A 74B open-weights agent model squeezed into 24GB — 2-bit quantization, built to run locally on RTX hardware.

FLUX 3 Image Klein

BFL's 5.6B open-weights image model — 4K generation and pixel-accurate editing on an 8GB consumer GPU.

Grok Voice 3.0

xAI's flagship speech-to-speech voice agent model — top of the AA speech index at unchanged $0.08/min pricing.

Directable multi-speaker TTS with word-level editing and single-segment audio repair.

LFM2.5-24B-A2B

24B MoE reasoning model with 2B active parameters, built for on-device agents.

End-to-end AI that replaces the full weather forecasting pipeline.

ACE-Step

Open-source foundation model for lyrics-to-song music generation.

The first open Arabic LLM covering the full pre-train, SFT, and RLAIF pipeline.

Second-generation open Arabic LLM with full localized pretraining pipeline.

Math reasoning model whose 72B sibling beat GPT-4o on math benchmarks; CC-BY-NC non-commercial.

Adobe Firefly

Commercially-safe image and video generation, trained on licensed content.

Commercially safe image generation, 2K output, trained on licensed content only.

AfroLM

Multilingual model for 23 African languages trained with self-active learning.

Open Hindi instruction-tuned LLM from IIT Madras.

A Lite BERT: 18x fewer parameters via sharing, still SOTA on GLUE and SQuAD.

Aleph Alpha Kolibri

Germany's new open 78B MoE for documents and reasoning, Apache 2.0.

Spain's sovereign 40B open model trained on MareNostrum 5.

Yandex's Apache 2.0 open-weights flagship for dialogue, RAG, and agents.

Saudi Arabia's sovereign Arabic LLM — 7B from-scratch + 13B, open via IBM watsonx.

Saudi Arabia's 34B Arabic-centric flagship LLM, closed weights.

Allegro

Open text-to-video diffusion transformer generating 6-second 720p clips.

Alpaca 7B

Stanford's landmark 2023 instruction-following model, trained for under $600.

Code-generation system that reached median human level in competitive programming.

Gemini-powered competitive programming system at the 85th percentile on Codeforces.

RL-discovered sorting and hashing algorithms that shipped in the C++ standard library.

AlphaEvolve

Gemini-powered evolutionary coding agent that discovers algorithms better than human designs.

The protein-folding breakthrough that solved a 50-year grand challenge in biology.

AlphaGenome

DeepMind's DNA sequence model — 1M base pairs, 11 modalities at once.

AlphaGeometry

Neuro-symbolic IMO geometry solver — 25 of 30 olympiad problems, near human gold-medalist level.

AlphaProof

AlphaZero-style RL in Lean — the first AI system to reach IMO silver-medal standard.

Transformer-based neural decoder for quantum error correction, published in Nature.

RL system that discovered faster matrix multiplication algorithms, published in Nature October 2022.

Amazon's most capable Bedrock model, built for distillation and long-context work

Switzerland's fully open 8B/70B sovereign LLM — weights, code, and training data public.

Apertus 70B

Switzerland's fully open 70B multilingual model, Apache 2.0.

Apertus-8B

Switzerland's fully open 8B multilingual LLM, trained on 15T tokens across 1,000+ languages.

Apple Foundation Models

Apple's 3B on-device LLM — private, offline inference for every app.

Arabic BERT pretrained on 77GB of text, the standard Arabic NLU baseline.

Aria

Open multimodal mixture-of-experts model with under 4B active parameters

600M-param Conformer ASR trained on 12.5M hours; 99 languages, bundled speech intelligence.

Ai2's open 8B model that writes cited science reports in one forward pass.

Athene-V2

Open 72B post-trained suite from Nexusflow targeting GPT-4o-level chat and agent use.

Text-to-audio generation: describe a soundscape, get the audio.

Latent-diffusion text-to-audio model that hit SOTA training on a single GPU.

AudioLDM 2

Latent diffusion text-to-audio that turns prompts into sound effects, speech, and music

Text-to-audio latent diffusion model for sound effects, speech and music.

AudioLDM2

Open text-to-audio, music, and speech generation from a unified latent diffusion model.

The 2022 paper that reframed audio generation as language modeling.

Research model fusing PaLM-2 with AudioLM to speak and translate speech.

Neural audio watermarking with sample-level detection of AI speech.

xAI's photorealistic image model for Grok — powerful, with notably few content guardrails.

Foundation model for the atmosphere — weather, air quality, cyclones.

Cohere's 101-language instruction-tuned open model — the multilingual breadth milestone.

Open-weight multilingual models covering 23 languages in depth.

35B multilingual research model serving 23 languages with open weights.

Aya 23 8B

Open weights multilingual model covering 23 languages in depth.

Cohere's open-weight 32B multilingual model covering 23 languages.

Aya Expanse 8B

Multilingual 8B model covering 23 languages — research/non-commercial license.

Cohere's open-weight multilingual 8B covering 23 languages, trained with data arbitrage.

Aya Vision

Open-weight multilingual vision-language models (8B/32B) for research use.

Multilingual 8B vision-language model from Cohere's open research lab, released March 2025.

Babel-9B

Open multilingual LLM covering the top 25 languages, serving over 90 percent of the world.

BAGEL

Unified 7B multimodal model that both understands and generates images

Chinese-English 13B bilingual model from Wang Xiaochuan's Baichuan.

Baichuan's first-generation 13B bilingual chat model under a community license.

Baichuan-M1

Medical-domain LLM trained from scratch on 20 trillion tokens, with an open 14B version.

Baichuan-M2

Open 32B medical LLM that beat GPT-class models on HealthBench; runs on one RTX 4090.

RLHF-tuned 13B bilingual Chinese-English chat model from Baichuan.

Bilingual Chinese-English 7B LLM trained on 2.6 trillion tokens.

Denoising seq2seq pretraining that generalizes BERT, GPT, and more.

The bidirectional transformer that defined the pre-train/fine-tune era of NLP.

BGE Large EN v1.5

The classic English embedding — 10M downloads of MIT-licensed retrieval reliability.

BAAI cross-encoder reranker for scoring query-document relevance in RAG pipelines.

568M-parameter multilingual cross-encoder reranker — the RAG quality upgrade.

BGE-M3

The world's most-downloaded embedding model — 32.8M downloads of multilingual, multi-function retrieval.

bge-reranker-v2-m3

BAAI's 568M multilingual cross-encoder reranker, the default second stage for open RAG.

India's sovereign 17B MoE — 22 Indian languages, open weights.

Poland's open-source Polish-first LLM family, from 7B to 11B instruct models.

Poland's open sovereign LLM with a dedicated Polish tokenizer, trained on national supercomputers.

Poland's flagship open LLM — 11B params, Polish-first tokenizer, beats 70B models on Polish benchmarks.

Efficient Polish mid-size model from the Bielik v3 generation.

Poland's first open Polish LLM, released April 2024 by the SpeakLeash community.

Distilled 7.5B Polish model from the Bielik v3 generation.

Google's sparse-attention transformer for 4K sequences — with theoretical guarantees.

Bilibili Index-Translate

Open Apache 2.0 translation models for 150 languages — 2B laptop-sized up to a 35B MoE, with a free API.

BioEmu-1

Deep-learning emulator of protein structural ensembles, orders of magnitude faster than MD.

GPT-style model pretrained from scratch on 15M PubMed abstracts, MIT licensed.

2.7B biomedical language model trained purely on PubMed literature.

BiomedParse

Foundation model unifying detection, recognition, and segmentation across 9 medical imaging modalities.

Open medical LLM — Mistral 7B further pretrained on PubMed Central, Apache 2.0.

The first native 1-bit LLM — ternary weights, CPU inference, full-precision-class quality.

Facebook AI's 2020 open-domain chatbot that blended empathy, knowledge, and persona.

Efficient vision-language pretraining by bridging frozen encoders with a Q-Former.

BLIP-3

Salesforce's open multimodal family (xGen-MM) — vision-language models you can actually download.

Fully open unified model for image understanding and generation.

Korean-English bilingual LLM built on Llama 3 with vocabulary expansion.

176B open multilingual model built by 1,000+ researchers across 46 languages; landmark RAIL-licensed release.

50B-parameter finance LLM trained on 363B tokens of Bloomberg data; research paper only, no public weights.

Instruction-tuned BLOOM — crosslingual multitask finetuning that unlocked zero-shot generalization in 46 languages.

Bodhi TTS

Sovereign Indian TTS — 50+ native voices across 10 languages at ₹12 per 10,000 characters.

Boltz-1

Fully open-source biomolecular structure predictor matching AlphaFold3's accuracy.

Boltz-2

Biomolecular co-folding model predicting structure and binding affinity

Bonsai 2 27B

27B-class reasoning, coding, and vision compressed to 5.9GB via ternary weights.

MediaTek's open 7B model optimized for Traditional Chinese and English.

C4AI Command A

Cohere's 111B open-weights model for agentic and multilingual enterprise work.

Pioneering Brazilian Portuguese instruction-tuned LLM based on OpenLLaMA 3B.

CyberAgent's Apache 2.0 Japanese-English bilingual chat model.

Fully open vision-centric multimodal family and training cookbook

Brazilian Portuguese 7B LLM with extended training on Portuguese web text.

Ultralight 182M multilingual speech-to-text and translation model.

Canary-1B

Multilingual ASR plus speech translation in 25 languages — commercial-friendly open weights

Canary-1B

Multilingual speech recognition and translation under open terms.

1B multilingual speech model for transcription and translation across 25 European languages.

ASR and LLM hybrid that transcribes audio then reasons over the text.

2.5B-parameter ASR-LLM hybrid with 5.63% word error rate in English.

Cartesia Sonic

Ultra-low-latency commercial TTS API — expressive voices in under 90ms, built on state-space models.

Cartesia Sonic 3

Streaming TTS on state-space models — 42 languages, natural laughter, sub-100ms streaming.

Cendol

Open instruction-tuned LLM collection for Indonesian and regional languages, 300M to 13B.

Multimodal foundation model for molecular structure prediction.

Generative AI for de novo antibody design with experimental validation.

Meta's early-fusion token-based multimodal foundation model family.

The 6.2B bilingual chat model that kicked off China's open LLM wave.

Zhipu's second-generation bilingual 6B chat model with 32K context.

Bilingual Chinese-English 6B dialogue model with native function calling and code execution; open weights.

Chatterbox

MIT-licensed open TTS family — 23 languages, emotion control, beats ElevenLabs in evals.

Chatterbox Turbo

MIT-licensed 350M-param open TTS — one-step mel decoder, paralinguistic tags, PerTh watermarked.

ChatTTS

Conversational TTS for Chinese and English — laughter, pauses, and dialogue dynamics from text.

ChemBERTa-2

Chemical foundation model: RoBERTa pretrained on 77M molecules.

70B model on 1.4T tokens that rewrote LLM scaling laws; never publicly released.

Chirp 3 HD

Google's Gemini-powered HD text-to-speech — 30 voices, 50+ languages

Multilingual vision-language model for nine Indian regional languages.

Chronos

Amazon's language-modeling framework that tokenizes time series for probabilistic forecasting.

120M Apache-2.0 time-series foundation model with native multivariate and covariate support.

Anthropic's 100K-context model that pioneered the long-context era.

Claude 3 Haiku

Anthropic's fastest, most affordable Claude 3 model, built for high-volume enterprise workloads.

Claude 3 Opus

Anthropic's most capable 2024 model, the benchmark for careful reasoning.

Anthropic's June 2024 workhorse — beat Opus while running faster, then pioneered computer use.

Claude 3.7 Sonnet

The first hybrid reasoning model: instant answers or extended thinking in one model

Claude Fable 5.1

Anthropic's public flagship — Mythos-class intelligence with safeguards, $10/$50.

Claude Haiku 4.5

Near-frontier coding speed and quality at one-third the cost of Sonnet

Claude Haiku 5.5

Anthropic's cheapest, fastest small model ever — $0.10/M input, with a 1M-token context.

Claude Opus 4

Anthropic's flagship for the hardest tasks, priced for teams that need every last point

Claude Opus 4.1

Anthropic's top coding model of 2025: 74.5% SWE-bench Verified, hybrid reasoning.

Claude Opus 4.5

The first model to break 80% on SWE-bench Verified — Anthropic's 2025 flagship for coding, agents, and computer use

Anthropic's first 1M-context Opus — adaptive thinking for long agentic coding runs.

Claude Opus 4.7

Anthropic's April 2026 flagship: sharper vision, xhigh reasoning effort, and steadier long-horizon agents.

Claude Opus 4.8

The refined pre-5.0 flagship — 1M context, Fast Mode, and dynamic agent workflows.

Claude Opus 5

Flagship Opus at near-Fable capability for roughly half the price, API-only.

Anthropic's flagship general-purpose model, leading agentic coding benchmarks at 40% less cost than Opus 5.

Claude Sonnet 4

Anthropic's workhorse frontier model: near-flagship capability at a mid-tier price

Claude Sonnet 4.5

Anthropic's frontier coding model: 77.2% SWE-bench Verified, 30-hour agentic runs.

Claude Sonnet 4.6

Mid-tier Claude model with near-flagship intelligence at Sonnet pricing.

Claude Sonnet 5.5

Anthropic's fast mid-tier frontier model — 30%+ faster than Sonnet 5 at the same per-token price.

Clef

Cloudflare's open-weight decision model — typed probabilities instead of prose, 27B, Apache 2.0.

Clef Flash

The 9B low-latency Clef — sub-40ms decisions at $0.038 per million tokens.

Clef Omni

Clef goes multimodal — one decision call scores text, images, audio, and video.

Open medical LLM with dialogue-based knowledge encoding, 13B and 70B variants.

T5-large further pretrained on MIMIC clinical notes for medical text generation.

OpenAI's 2021 vision-language breakthrough — zero-shot image classification from 400M image-text pairs.

Image-text foundation model training contrastive and captioning losses jointly.

Meta's code-specialized Llama 2 family — the template every later open coder competed against.

Meta's 70B code specialist — 53% HumanEval, near GPT-4 class at release.

CodeGeeX4

Open 9B multilingual code model on the GLM-4 backbone.

Multilingual 9B code model with function calling, code interpreter, and web search.

Google's open code models on the Gemma base: 2B infill specialist and 7B instruct.

CodeGemma 7B

Google's Gemma-licensed code model — lightweight completion and generation for everyday coding.

CodeLlama 34B

Meta's pioneering code LLM — the model that proved open code models could compete.

CodeLlama 7B Instruct

Instruction-tuned 7B code model built on Llama 2, trained on 500B code tokens.

CodeLlama-34B-Instruct

Meta's 34B instruction-tuned code model for serious code work.

The 7B predecessor to Qwen2.5-Coder, under the Tongyi Qianwen license.

7B multilingual code foundation model with VS Code and JetBrains plugins.

Codestral 22B

Mistral's 22B code specialist — research/non-production license.

Codestral 22B

Mistral's 22B fluent-code model — 80+ languages under the non-production MNPL license.

Codestral 25.01

Mistral's FIM-specialist code model: 256K context, 80+ languages, 2x faster.

Codestral 25.08

Mistral's August 2025 code model refresh with 256K context and FIM completion.

Codestral Embed

Mistral's code-tuned embedding model that beat OpenAI and Cohere on retrieval benchmarks.

7B Mamba2 code model with a 256K context window under Apache 2.0.

Identifier-aware encoder-decoder model for code understanding and generation.

18B vision-language model built for GUI understanding and navigation.

Cogito v2

Open-weight hybrid reasoning model family with self-improving machine intuition.

Cognition's most capable SWE model — reinforcement learning stacked on RL, served at 1,000 tokens per second.

Zhipu's 5B open text-to-video model — 10s clips, the first commercial-grade open video generator.

CogVideoX-5B

Zhipu AI and Tsinghua's 5B open-weights text-to-video diffusion model with an expert transformer

CogVideoX1.5-5B

Zhipu's 5B open video model — text-to-video and image-to-video from the CogVideo lineage.

Open-source text-to-image model with Chinese character generation.

CogVLM

Open vision-language model with a trainable visual expert module for deep fusion.

CogVLM2

High-resolution open VLM aimed at GPT-4V-level image understanding.

111B enterprise reasoning model with token-budgeted thinking, open weights.

Cohere's first vision model: 112B, 128K context, open weights for research (CC-BY-NC).

Cohere Embed 4

Cohere's multimodal embedding model — vectorize text, images, and whole PDFs into one space.

1024-dim managed embedding with task-specific input types

Cohere Embed v3

Cohere's enterprise embedding API — multilingual with a compression endpoint, API-only.

Cohere Embed v4

Cohere's multimodal embedding model: text and images in one vector space, 128K context.

Enterprise reranker with 100+ languages for precision retrieval.

The default commercial cross-encoder reranker for two-stage retrieval

Cohere Transcribe

Cohere's first audio model — a 2B open-weights transcriber that took #1 on the Open ASR Leaderboard.

ColBERTv2

Late-interaction retrieval: token-level matching with MaxSim scoring

ColPali

Vision-language document retriever that indexes pages as images, no OCR needed.

Visual document retrieval that treats every page as an image.

Command A

Cohere's 111B-parameter enterprise LLM built for RAG, tool use and agentic work on just two GPUs.

Cohere's open-weight enterprise flagship — a sparse MoE built for RAG, tool use, and sovereign deployment.

35B open-weights model built for RAG and multilingual generation

Command R+

128K-context RAG specialist with native tool use — non-commercial weights.

Command R+ (08-2024)

Cohere's 104B enterprise LLM, August 2024 refresh.

Command R7B

7B multilingual RAG and tool-use model for research use.

2B Apache-2.0 agent model tuned for Huawei Ascend NPUs.

Open omnimodal world model — reasons, generates, and acts in one pass.

Cosmos Predict-1

NVIDIA's open world-foundation models that predict physics-aware video for robots and AVs.

Cosmos Reason

Open reasoning vision-language model for robots and physical AI.

CosyVoice

Multilingual zero-shot TTS with voice cloning, open weights.

Zero-shot multilingual voice cloning TTS across 9 languages and 18 Chinese dialects

Alibaba's open zero-shot TTS with natural-language instruction control over speaking style.

Half-billion-parameter multilingual TTS, RL-tuned for naturalness.

Tiny 1.3B truly bilingual French-English model with fully open data and code.

CSM

Sesame's open-weight conversational speech model that turns text into natural, context-aware dialogue audio.

1.6B conditional transformer with control codes for steerable generation.

Continuous 3D perception with persistent state from streaming images.

Pioneering Japanese GPT-NeoX model released under CC BY-SA 4.0.

DALL-E 3

The ChatGPT-integrated image model (Oct 2023) — retired from the API in May 2026.

Open 4B small language model trained on 6 trillion tokens.

DBRX

132B fine-grained MoE that set the 2024 bar for open models

DBRX Instruct

132B fine-grained MoE for enterprise workloads.

Decision 3.0

Apache-2.0 multimodal decision models from 0.6B to 27B for the vLLM Semantic Router.

DeepCoder-14B-Preview

14B RL-trained code reasoning model at o3-mini level.

Deepgram's flagship speech-to-text: 5.26% WER batch, Keyterm Prompting, 20+ languages.

The 1.5B model that beat o1-preview on math with $4,500 of RL training.

DeepSeek Coder V2

DeepSeek's 236B MoE coder: 338 languages, SOTA open coding in 2024.

DeepSeek LLM 67B

DeepSeek's 67B base model trained on 2T English-Chinese tokens.

DeepSeek R1

The open reasoning model that started the RL reasoning wave — 671B MoE under MIT

DeepSeek R1-0528

The May 2025 R1 upgrade: deeper reasoning, less hallucination, near o3-class — MIT licensed.

DeepSeek V3.1

Hybrid 671B MoE merging V3's chat and R1's reasoning into one toggleable model.

DeepSeek V3.2

MIT-licensed open-weight frontier model with sparse attention, matching proprietary models at a fraction of the cost

DeepSeek V4

DeepSeek's 1.6T-parameter open-weights MoE with a native 1M-token context.

DeepSeek V4 Pro 0813

GA checkpoint of DeepSeek's 1.6T MoE flagship with 1M context and MIT weights.

DeepSeek V4-Flash

Fast, cheap 284B open-weight MoE — 13B active per token with a 1M context, MIT licensed.

DeepSeek V4.1 Flash

The #1 open-weight model (Vals AI) — 552B MoE, 1M context, MIT.

The original DeepSeek code series — 1.3B to 33B trained on 2T tokens, 87% code.

DeepSeek-OCR

Open document OCR that compresses pages into vision tokens.

DeepSeek-OCR 2

DeepSeek's second-gen document VLM — human-like reading order at a tiny token budget.

671B open theorem prover — subgoal decomposition + RL for Lean 4 proofs, MIT licensed.

DeepSeek-R1-0528-Qwen3-8B

R1 reasoning distilled into Qwen3-8B: single-GPU thinking model, MIT licensed.

Largest R1-distilled reasoning model, built on Llama 3.3 70B Instruct.

DeepSeek-R1-Distill-Llama-8B

DeepSeek-R1 reasoning distilled into an 8B Llama for local use.

Tiny 1.5B reasoning model distilled from DeepSeek-R1 for on-device chain-of-thought.

DeepSeek-R1-Distill-Qwen-14B

R1 reasoning distilled into Qwen2.5-14B, a mid-size thinker.

DeepSeek-R1-Distill-Qwen-32B

R1's reasoning distilled into 32B — beat o1-mini on math/code, MIT licensed.

DeepSeek-R1-Distill-Qwen-7B

7B reasoning model distilled from DeepSeek-R1 with visible chain of thought.

DeepSeek-R1-Zero

Pure-RL reasoning model that learned chain-of-thought without supervised fine-tuning.

DeepSeek-V2

236B MoE model that introduced Multi-head Latent Attention for radically cheaper inference.

16B MoE that runs like a 2.4B model, with a 32K context window.

DeepSeek-V2.5

Merged chat + coder MoE flagship; DeepSeek's last V2-era model before V3.

DeepSeek-V3

671B MoE (37B active) open model that matched GPT-4o-class performance on a $5.6M training budget.

DeepSeek-V3.1-Terminus

Production-hardened DeepSeek-V3.1 with fixed multilingual output and upgraded agents.

DeepSeek's 1.6T-parameter open-weight flagship, delivering near-frontier reasoning at a fraction of Western prices.

DeepSeek-VL 7B

DeepSeek's open 7B vision-language model for real-world multimodal tasks.

DeepSeek-VL2

Mixture-of-experts vision-language model family in tiny, small, and full sizes

DeepSeek-VL2-Small

2.8B-activated-parameter mixture-of-experts vision-language model.

DeepSeekMath 7B

DeepSeek's 7B math specialist that beat 70B general models on competition problems.

Demucs

State-of-the-art music source separation

Depth Anything V1

HKU/TikTok foundation model for monocular depth estimation, trained on 62M+ unlabeled images.

Depth Anything V2

Foundation model for robust monocular depth estimation.

Depth Anything V3

Transformer depth foundation model for monocular and multi-view geometry.

Depth Pro

Sharp metric monocular depth in under a second, open weights.

High-fidelity neural audio codec with ~90x compression at 8 kbps.

Devstral

Mistral's 24B Apache 2.0 model built for agentic coding, with All Hands AI.

Devstral 2

123B dense open coding model, SOTA for code agents

Devstral 2 2512

Open 123B agentic coding model with 262K context, aliased as devstral-latest on Mistral's API.

Devstral Medium

Mistral's mid-tier agentic coding model — 131K context, tool calling, $0.40/$2 per 1M tokens.

Devstral Medium 2507

Mistral's proprietary mid-tier agentic coding model, 61.6% on SWE-Bench Verified.

Devstral Small

Mistral's Apache-2.0 agentic coding model — small, fast, built for software engineering agents.

Dia

1.6B open-weight TTS that generates realistic two-speaker dialogue — laughs included.

Dia

Open 1.6B text-to-speech model that generates ultra-realistic multi-speaker dialogue from a script.

Dia-1.6B

1.6B dialogue TTS that generates multi-speaker conversations with emotion.

Microsoft's GPT-2-based conversational model trained on 147M Reddit exchanges.

DiffRhythm

Open-source diffusion model that writes full songs with vocals in seconds

DiffRhythm

Open latent-diffusion model for full-length song generation

Diffusion Policy

Visuomotor robot policies as conditional denoising diffusion — 47% average gain over prior robot learning.

DiffusionGemma

Google's first open text-diffusion LLM: 26B MoE at 1,000+ tok/s.

DiffusionGemma 26B-A4B

Experimental open-weights diffusion language model — parallel generation, 4x throughput.

Meta's April 2023 self-supervised vision foundation — all-purpose visual features, no labels needed.

DINOv3

Self-supervised vision foundation model trained on 1.7B images.

Mistral-based 7B model tuned for German, positioned as an open ChatGPT alternative.

6x-faster English Whisper distillation within 1% word error rate.

Distilled BERT: 40% smaller, 60% faster, 97% of BERT's GLUE performance.

One vision backbone for every Earth-observation sensor and wavelength.

April 2023's first truly open, commercially usable instruction-tuned LLM.

First truly open instruction tuned LLM, MIT licensed for commercial use.

The 7B size of Dolly 2.0, the first commercially viable open instruction LLM.

The flagship uncensored local LLM series for steerable, private general-purpose chat.

Open audio model that finds patterns in wild dolphin vocalizations.

Donut

OCR-free document understanding transformer from Naver, ECCV 2022.

dots.llm1

MIT-licensed 142B MoE (14B active) trained on 11.2T non-synthetic tokens.

Multilingual document layout parsing in a single 1.7B vision-language model.

RedNote's first open vision-language model - DeepSeek V3 backbone with a from-scratch 1.2B vision encoder.

Doubao Seed 1.8

ByteDance's cost-efficient multimodal agent model, tuned for the Volcano Engine ecosystem.

Doubao Seed 2.0 Pro

ByteDance's 'agent era' flagship — GPT-5.2-class reasoning at roughly a tenth of the price.

Sparse MoE flagship with 20B active params rivaling 140B dense models.

ByteDance's multimodal flagship with 256K context and aggressive API pricing

Doubao-Seed-2.0

ByteDance's agentic flagship in Pro, Lite, Mini, and Code tiers with 256K context.

Doubao-Seed-Code

ByteDance's budget agentic coding model — SWE-Bench-Verified record at roughly 60% below market price.

Dream 7B

Open diffusion language model rivaling autoregressive 7B models.

Open-weight decision model that scores typed answers over documents instead of generating text.

Multilingual guardrail LLM trained with two-player reinforcement learning.

DUSt3R

Feed-forward 3D reconstruction from uncalibrated images, no camera info needed.

Fully non-autoregressive zero-shot TTS with flow-matching mel generation.

E5-base-v2

109M-parameter English text embedding model with 768-dim vectors.

Microsoft's 335M embedding model, a long-running MTEB retrieval workhorse.

Mistral-7B turned into a state-of-the-art text embedding model.

E5-Mistral 7B

The 7B embedding that topped MTEB — MIT-licensed, from Microsoft Research's E5 team.

E5-Mistral 7B Instruct

Instruction-tuned 7B embedding model that first put LLM decoders atop the MTEB leaderboard

E5-small-v2

Microsoft's 33M embedding model — 384-dim vectors, a long-running MTEB retrieval baseline.

Eagle2-9B

Data-centric 9B vision-language model matching 70B-class models on multimodal benchmarks.

EchoMimicV2

Ant Group's half-body talking-human model — audio plus pose, CVPR 2025.

Sample-efficient pretraining via replaced-token detection instead of masking.

Most expressive TTS: 70+ languages, inline audio tags, multi-speaker dialogue.

Eleven v4

Rebuilt text-to-speech voice model with actor-grade expressiveness.

ElevenLabs Eleven v3

The category-leading TTS model — 70+ languages, most realistic voices.

ElevenLabs Multilingual v2

Flagship-grade expressive TTS across 29 languages with voice cloning.

The 2018 breakthrough that made word vectors contextual — precursor to BERT and GPT.

EmbeddingGemma 2

Open 740M multimodal embedder: text, code, image, audio, video in one space.

BAAI's 37B generative multimodal model, open SOTA for understanding and generation.

Emu3

Multimodal transformer trained only with next-token prediction, from Beijing Academy of AI.

EnCodec

Meta's 2022 neural audio codec — 10x MP3 compression at 64kbps, MIT licensed.

ERNIE 4.5

Apache-2.0 open MoE family, 0.3B to 424B, strong in Chinese and multimodal tasks.

ERNIE 4.5 Turbo

Baidu's speed-and-price-optimized multimodal flagship — frontier-class at a fraction of Western pricing.

Baidu's 2.4T-parameter natively omni-modal flagship for text, image, audio, and video

ERNIE 5.0

Baidu's proprietary natively omni-modal flagship — 2.4T parameters, first Chinese model in the LMArena global top 10.

ERNIE X1

Deep-thinking reasoning model with tool use, priced to undercut.

ERNIE X1 Turbo

Baidu's low-cost deep-reasoning model, launched at Create 2025.

Ernie-4.5-VL-28B

Open 28B vision-language reasoner that thinks with images and calls tools

Evolutionary-scale protein language model — structure prediction from sequence alone, no alignments needed.

98B generative biology model reasoning over proteins.

ESM3

A generative protein language model that reasons over sequence, structure, and function.

Folds proteins from a single sequence with no alignment search, ~60x faster than AlphaFold2.

Next-generation multilingual encoder family for European languages - 210M to 2.1B, Apache 2.0.

Open 9B-parameter multilingual LLM covering all 24 official EU languages.

EU-funded multilingual LLM covering all 24 official EU languages.

EuroLLM-9B

Apache-2.0 open 9B model covering all 24 EU official languages plus 11 more.

Europe's open multilingual LLM covering all 24 official EU languages

7B genomic foundation model that reads and designs DNA at single-nucleotide resolution.

Evo 2

The largest fully open biology AI: 40B params trained on 9.3T nucleotides from all domains of life.

Evo 2 7B

Arc Institute's open 7B genomic foundation model that reads and designs DNA.

South Korea's open-source flagship trio — 2.4B on-device, 7.8B general, 32B high-performance.

LG's bilingual Korean-English flagship open model with 32K context.

EXAONE 4.0 32B

Korea's first open-weight hybrid model fusing an LLM with a reasoning engine.

LG's vision-language model deployed for Korean public-sector analysis.

EXAONE Deep 32B

Korean-strong reasoning model in 32B, 7.8B, and 2.4B sizes

EXAONE Deep 32B

Korean open-weight reasoning model rivaling DeepSeek-R1.

LG's open reasoning model — 95% of the 32B's performance at 24% of the size.

LG's 7.8B instruction-tuned flagship with real-time web search grounding.

Patch-level pathology foundation model pretrained on 285M tissue patches.

F2LLM-v2-14B

Fully open 14B multilingual embedding model covering 200+ languages.

September 2023's largest open model — 180B params on 3.5T tokens of aggressively cleaned web data.

Open small-model family from Abu Dhabi in 1B to 10B sizes.

Falcon 40B

Open 40B-parameter multilingual LLM from the UAE's Technology Innovation Institute.

Falcon 7B

7B open LLM trained on 1.5T tokens of RefinedWeb, Apache 2.0 licensed.

TII's 7B Arabic adaptation of Falcon 3, native not translated.

Falcon H1

TII's hybrid Transformer+Mamba-2 family: 0.5B–34B, tunable attention ratios, open weights.

TII's pure-Mamba 7B — the first attention-free open model to beat transformer rivals at this scale.

Falcon-40B-Instruct

Instruction-tuned variant of TII's 40B open model that once topped the leaderboard.

Compact 1.6B multilingual speech recognition model with strong Arabic coverage.

7B model built to understand Emirati Arabic dialect and culture.

Falcon-Emirati-7B

7B open model built for Emirati Arabic dialect, idioms, and cultural context.

Falcon-H1

Hybrid Transformer-Mamba2 family from 0.5B to 34B — efficient long-context multilingual models from Abu Dhabi.

Falcon-H1-34B

34B hybrid attention-Mamba flagship of the Falcon-H1 family.