Codesota · Models2,268 models indexed · 102 match filter
Editorial · Models
Models with recorded evidence.
Start with a research area, drill into a vendor, or page through the full index. Vendor aliases and legacy area IDs are grouped here; original model IDs and model links stay unchanged. Only models with at least one benchmark score appear — a model without a recorded score can’t be ranked.
Vendor:Areas overviewSpeakLeash · 263Alibaba · 104Google · 102OpenAI · 86Meta · 68Microsoft · 49Anthropic · 44DeepSeek · 34Mistral · 30mistralai · 19CYFRAGOVPL · 14NVIDIA · 14Zhipu AI · 13internlm · 10xAI · 10ByteDance · 9Baidu · 8ibm-granite · 8PLLuM · 8allenai · 7Amazon · 7MiniMax · 7Mistral AI · 7Remek · 7Shanghai AI Lab · 7utter-project · 7CohereForAI · 6Salesforce · 601-ai · 5Cohere · 5Moonshot AI · 5NousResearch · 5THUML · 5gguf-iq · 4IBM · 4Meituan · 4openchat · 4Stanford · 4THUDM · 4tiiuae · 4UC San Diego · 4VikParuchuri · 4Allen AI · 3BAAI · 3Du et al. · 3ForgeCode · 3Fudan University · 3gguf · 3gguf11bv30 · 3gguf7bv30 · 3IDEA Research · 3Liao et al. · 3Moonshot.AI · 3Nam Tuan Ly / NII · 3OpenDataLab · 3OPI-PG · 3upstage · 3ViCoS Lab Ljubljana · 3Xiaomi · 3Zhao et al. · 3+ 243 smaller vendors (288 models)
§ 01 · Google models
102 models from Google · page 2 of 3.
| # | Model | Vendor | Parameters | Architecture | Benchmarks | Results |
|---|---|---|---|---|---|---|
| 051 | Gemini 3.1 Pro | — | — | 4 | 4 | |
| 052 | Gemma 4 31B | — | — | 4 | 4 | |
| 053 | T5-11B | Unknown | Unknown | 2 | 4 | |
| 054 | Gemini 1.5 Pro | Unknown | Unknown | 1 | 3 | |
| 055 | Gemini Ultra | Unknown | Transformer (decoder-only) | 3 | 3 | |
| 056 | Gemma 3 12B IT | 12B | transformer | 3 | 3 | |
| 057 | Gemma 3 4B IT | 4B | transformer | 3 | 3 | |
| 058 | PEGASUS-Large | Unknown | Transformer encoder-decoder (gap-sentence generation pre-training) | 1 | 3 | |
| 059 | TiDE | Unknown | MLP | 1 | 3 | |
| 060 | DreamerV3 | — | World Model (Model-Based) | 2 | 2 | |
| 061 | EfficientNet-B7 | 66M | CNN | 2 | 2 | |
| 062 | Gemini 2.0 Flash | — | Multimodal LLM | 2 | 2 | |
| 063 | Gemini 2.5 Flash | — | Multimodal LLM | 2 | 2 | |
| 064 | Gemini 3 Pro Preview | — | — | 2 | 2 | |
| 065 | Google USM | 2B | Conformer encoder + RNN-T/CTC | 1 | 2 | |
| 066 | ViT-B/16 | 86M | Vision Transformer | 2 | 2 | |
| 067 | ViT-H/14 | 632M | Vision Transformer | 2 | 2 | |
| 068 | Agent57 | — | Distributed RL (Recurrent + Episodic Memory) | 1 | 1 | |
| 069 | ALBERT-xxlarge-v2 | 235M | ALBERT-xxlarge | 1 | 1 | |
| 070 | coatnet_2_rw_224.sw_in12k_ft_in1k | — | CoAtNet-2 RW, IN12K -> IN1K fine-tune | 1 | 1 | |
| 071 | CoCa | Unknown | Image encoder + cross-attention + causal decoder | 1 | 1 | |
| 072 | CoCa (finetuned) | 2.1B | Contrastive Captioner | 1 | 1 | |
| 073 | CoCa (ViT-G/14) | 2.1B | Contrastive Captioner on ViT-G/14 | 1 | 1 | |
| 074 | Disco57 | — | DiscoRL — meta-learned RL update rule (discovered by automated search) | 1 | 1 | |
| 075 | DQN (Human-level) | — | Deep Q-Network (CNN) | 1 | 1 | |
| 076 | EfficientDet-D7x | — | EfficientNet+BiFPN | 1 | 1 | |
| 077 | EfficientNet-B0 | 5.3M | CNN | 1 | 1 | |
| 078 | EfficientNetV2-L | 120M | CNN | 1 | 1 | |
| 079 | Gemini 2.0 Flash Thinking | — | — | 1 | 1 | |
| 080 | Gemini 2.5 Flash-Lite | — | — | 1 | 1 | |
| 081 | Gemini 2.5 Pro Preview | — | — | 1 | 1 | |
| 082 | Gemini 3.1 Flash-Lite | — | — | 1 | 1 | |
| 083 | Gemini Diffusion | — | — | 1 | 1 | |
| 084 | Gemini Flash 2 | — | Multimodal LLM | 1 | 1 | |
| 085 | Gemma 3 | — | — | 1 | 1 | |
| 086 | GoogLeNet | — | — | 1 | 1 | |
| 087 | Google Translate | — | Transformer (NMT) | 1 | 1 | |
| 088 | maxvit_base_tf_512.in1k | — | MaxViT base, 512 input, timm | 1 | 1 | |
| 089 | MEME | — | Memory-Based Exploration Agent (Agent57 variant) | 1 | 1 | |
| 090 | MusicLM | ~1.5B | Hierarchical autoregressive (SoundStream+w2v-BERT+MuLan) | 1 | 1 | |
| 091 | MuZero | — | Model-Based RL | 1 | 1 | |
| 092 | Noise2Music | Unknown | Cascaded diffusion (waveform + spectrogram) | 1 | 1 | |
| 093 | PaLM 2 (Large) | Unknown | Transformer (decoder-only) | 1 | 1 | |
| 094 | PaLM 540B (CoT) | — | — | 1 | 1 | |
| 095 | PaLM 540B (Self-Consistency) | — | — | 1 | 1 | |
| 096 | Rainbow DQN | — | DQN Variant | 1 | 1 | |
| 097 | SoViT-400m/14 | 400M | Vision Transformer (Shape-Optimized) | 1 | 1 | |
| 098 | SoViT-400M/14 | 400M | Compute-optimal ViT shape | 1 | 1 | |
| 099 | TAPAS-large | 340M | BERT-large (table-augmented) | 1 | 1 | |
| 100 | ViT-22B/14 | 22B | Scaled Vision Transformer 22B | 1 | 1 |