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Editorial · Models
Every model, measured.
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Vendor:Areas overviewspeakleash · 253OpenAI · 85Google · 71Qwen · 60Alibaba · 47Anthropic · 44Microsoft · 35Meta · 30Mistral · 30DeepSeek · 28google · 19meta-llama · 19mistralai · 19Meta AI · 15CYFRAGOVPL · 14Zhipu AI · 13NVIDIA · 10SpeakLeash · 10internlm · 10xAI · 10ByteDance · 9Baidu · 8PLLuM · 8ibm-granite · 8microsoft · 8Amazon · 7Google DeepMind · 7MiniMax · 7Mistral AI · 7Remek · 7Shanghai AI Lab · 7allenai · 7utter-project · 7CohereForAI · 6Microsoft Research · 6Salesforce · 601-ai · 5Alibaba Cloud · 5Cohere · 5Moonshot AI · 5NousResearch · 5THUML · 5deepseek-ai · 5DeepMind · 4Facebook AI · 4IBM · 4Meituan · 4Stanford · 4THUDM · 4UC San Diego · 4VikParuchuri · 4Xiaomi · 4gguf-iq · 4nvidia · 4openchat · 4tiiuae · 4Allen AI · 3BAAI · 3Du et al. · 3ForgeCode · 3Fudan University · 3IDEA Research · 3Liao et al. · 3Moonshot.AI · 3Nam Tuan Ly / NII · 3OPI-PG · 3OpenDataLab · 3StepFun · 3ViCoS Lab Ljubljana · 3Zhao et al. · 3gguf · 3gguf11bv30 · 3gguf7bv30 · 3upstage · 3+ 246 smaller vendors (290 models)
§ 01 · Multimodal models
88 models in Multimodal · page 1 of 2.
| # | Model | Vendor | Parameters | Architecture | SOTA | Benchmarks | Results |
|---|---|---|---|---|---|---|---|
| 001 | GPT-4o | OpenAI | Undisclosed | Multimodal LLM | 15 | 45 | 57 |
| 002 | Gemini-3.1-Pro | — | — | 4 | 3 | 11 | |
| 003 | Gemini 1.5 Pro | — | Multimodal LLM | 3 | 17 | 21 | |
| 004 | Qianfan-OCR | Baidu Qianfan | 4B | End-to-end VLM (4B params) | 3 | 4 | 16 |
| 005 | Qwen3.5-Omni-Plus | — | — | — | 3 | 10 | 10 |
| 006 | Claude 3.5 Sonnet | Anthropic | Undisclosed | Multimodal LLM | 2 | 27 | 32 |
| 007 | Qwen3.5-397B-A17B | Alibaba | — | — | 2 | 14 | 20 |
| 008 | Qwen2-VL 72B | Alibaba | — | Vision-Language Model | 2 | 12 | 18 |
| 009 | Ovis2.5-9B | — | — | — | 2 | 8 | 9 |
| 010 | SenseNova-U1-A3B-MoT | SenseTime | — | — | 2 | 7 | 8 |
| 011 | Qwen3.6 Plus | Alibaba | — | — | 2 | 4 | 4 |
| 012 | BLIP ViT-L | — | — | — | 2 | 2 | 2 |
| 013 | Qwen3-VL-235B-A22B-Instruct | Qwen | — | — | 1 | 13 | 14 |
| 014 | Gemini 3 Pro | Undisclosed | — | 1 | 11 | 13 | |
| 015 | Qwen3.6-35B-A3B | — | — | — | 1 | 11 | 11 |
| 016 | Qwen3.6-27B | — | — | — | 1 | 10 | 10 |
| 017 | Gemini 2.5 Pro | — | — | — | 1 | 9 | 9 |
| 018 | Intern-S1-Pro | Shanghai AI Lab | — | — | 1 | 6 | 8 |
| 019 | Audio Flamingo 3 | — | — | — | 1 | 7 | 7 |
| 020 | Kimi K2.6 | — | — | — | 1 | 6 | 6 |
| 021 | Infinity-Parser2-Pro | — | — | — | 1 | 5 | 5 |
| 022 | AIMv2 ViT-3B/14 + Llama 3.0 8B | — | — | — | 1 | 4 | 4 |
| 023 | BLIP-2 | Salesforce | Unknown | Frozen image encoder + Q-Former + frozen LLM | 1 | 3 | 3 |
| 024 | Gemini 2.0 Flash | — | Multimodal LLM | 1 | 2 | 2 | |
| 025 | BLIP3o-NEXT-GRPO-GenEval (3B) | — | — | — | 1 | 1 | 1 |
| 026 | Chameleon-SFT | — | — | — | 1 | 1 | 1 |
| 027 | Lumina-DiMOO w/ Self-GRPO | — | — | — | 1 | 1 | 1 |
| 028 | Qwen3.5-27B | Alibaba | — | — | 11 | 17 | |
| 029 | Qwen3.5-35B-A3B | Alibaba | — | — | 11 | 17 | |
| 030 | Kimi-K2.5 | Moonshot.AI | — | — | 10 | 16 | |
| 031 | Qwen3.5-122B-A10B | Alibaba | — | — | 10 | 16 | |
| 032 | Qwen2.5-VL-72B | — | — | — | 15 | 15 | |
| 033 | Claude 3 Opus | Anthropic | — | — | 8 | 14 | |
| 034 | Qwen3-VL-235B-A22B-Thinking | Qwen | — | — | 13 | 14 | |
| 035 | Qwen3-VL-8B-Instruct | Qwen | — | — | 13 | 14 | |
| 036 | MiniCPM-o 4.5-Instruct | — | — | — | 11 | 11 | |
| 037 | Qwen2-VL 7B | Alibaba | 7B | — | 11 | 11 | |
| 038 | Qwen2-VL-2B | — | — | — | 10 | 10 | |
| 039 | Gemini 2.5 Flash | — | — | — | 9 | 9 | |
| 040 | InternVL2-76B | Shanghai AI Lab | 76B | Vision-Language Model | 5 | 8 | |
| 041 | Aria | — | — | — | 7 | 7 | |
| 042 | LongCat-Flash-Omni | — | — | — | 7 | 7 | |
| 043 | VideoLLaMA3 7B | — | — | — | 7 | 7 | |
| 044 | BLIP3-o (8B) | — | — | — | 6 | 6 | |
| 045 | Gemma 3 (27B, IT) | — | — | — | 6 | 6 | |
| 046 | Gemma 4 31B | — | — | 5 | 6 | ||
| 047 | InternVL3-78B | Shanghai AI Lab | 78B | Vision-Language Model | 5 | 6 | |
| 048 | VideoLLaMA3 2B | — | — | — | 6 | 6 | |
| 049 | Kimi-VL-A3B-Instruct | — | — | — | 5 | 5 | |
| 050 | Kimi-VL-A3B-Thinking-2506 | — | — | — | 5 | 5 |