AI Model Benchmarks & Hardware Requirements
The definitive open-source AI model specs directory. Find exactly how much VRAM you need, inference speeds on NVIDIA RTX 4090 vs Apple Silicon M3, and 1-click Ollama launch commands.
| Rank | Model & Lab | Arena Elo | Code (HumanEval) | Min VRAM Needed | Speed (RTX 4090) | Speed (Apple M3) | Instant Local Run Command |
|---|---|---|---|---|---|---|---|
| 🥇 | Anthropic Claude 3.5 SonnetFrontier MoE (~200B+) Anthropic•Proprietary Cloud API The benchmark leader in software engineering, multi-turn reasoning, and complex UI artifact generation. | 1378 | 93.7% | Cloud Hosted ($3 / $15 per 1M tokens)Cloud API Endpoint | 85 tok/s | 85 tok/s | # Proprietary API via Cursor or Aider |
| 🥈 | DeepSeek-R1 (Distill 70B)70.6 Billion DeepSeek AI•MIT Open Source Open-weights reasoning powerhouse rivaling OpenAI o1 in mathematical proofs, algorithmic coding, and multi-step deduction. | 1364 | 89.2% | 40 GB (or 48GB Mac)Dual RTX 3090/4090 or Apple M3 Max 64GB | 42 tok/s | 36 tok/s | ollama run deepseek-r1:70b |
| 🥉 | OpenAI GPT-4oFrontier Omni (~200B+) OpenAI•Proprietary Cloud API Omni-modal frontier model supporting native real-time audio dialogue, computer vision, and structured text. | 1360 | 90.2% | Cloud Hosted ($2.50 / $10 per 1M tokens)Cloud API Endpoint | 105 tok/s | 105 tok/s | # Proprietary API via ChatGPT or API |
| #4 | Flux.1 Schnell12.0 Billion Flow Transformer Black Forest Labs•Apache 2.0 Open-weights diffusion model created by the original Stable Diffusion inventors. Generates photorealistic hands and crisp typography in 4 steps. | 1340 | N/A (Vision) | 12 GB VRAMRTX 3060 12GB / RTX 4070 12GB | 2.2 tok/s | 4.5 tok/s | # Run via ComfyUI with flux1-schnell.sft |
| #5 | Meta Llama 3.3 70B70.6 Billion Meta AI•Llama 3.3 Community Meta's flagship open-weights model delivering performance comparable to the previous 405B titan in a sleek 70B envelope. | 1335 | 82.6% | 40 GB VRAMDual RTX 3090/4090 or Apple M3 Max 64GB | 44 tok/s | 38 tok/s | ollama run llama3.3:70b |
| #6 | Qwen 2.5 Coder 32B32.5 Billion Alibaba Cloud•Apache 2.0 The gold-standard open-source coding model. Matches GPT-4o in full-stack code synthesis, repository comprehension, and bug fixing. | 1312 | 92.7% | 20 GB VRAMSingle RTX 3090/4090 24GB or Apple M2/M3 32GB | 74 tok/s | 52 tok/s | ollama run qwen2.5-coder:32b |
| #7 | Mistral Large 2 (123B)123.0 Billion Mistral AI•Mistral Non-Commercial / Commercial Europe's flagship open model. Excels in multilingual reasoning, JSON structured outputs, and enterprise tool orchestration. | 1310 | 92% | 70 GB VRAMDual A6000 48GB or Apple M2/M3 Ultra 128GB | 26 tok/s | 24 tok/s | ollama run mistral-large |
| #8 | DeepSeek-R1 (Distill 8B)8.0 Billion DeepSeek AI•MIT Open Source Ultra-compact reasoning model running at blazing speed on consumer laptops while outperforming original GPT-3.5 on code and logic. | 1240 | 82.6% | 6 GB VRAMRTX 3060 12GB / Apple M1 16GB | 145 tok/s | 88 tok/s | ollama run deepseek-r1:8b |
| #9 | Qwen 2.5 Coder 7B7.6 Billion Alibaba Cloud•Apache 2.0 Lightweight developer copilot designed for sub-second terminal autocompletion and IDE inline suggestions. | 1228 | 85.4% | 6 GB VRAMRTX 3060 6GB / Apple M1 8GB | 162 tok/s | 98 tok/s | ollama run qwen2.5-coder:7b |
| #10 | Meta Llama 3.1 8B8.0 Billion Meta AI•Llama 3.1 Community The most widely deployed open-weight foundational model. Reliable, fast, and supported by every edge hardware platform. | 1195 | 72.6% | 6 GB VRAMRTX 3060 / Apple M1 8GB | 155 tok/s | 92 tok/s | ollama run llama3.1:8b |