Compare Local AI Models
Open chat, reasoning and coding models side by side — size, context window, 4-bit memory, deployment and license. Bigger isn’t always better: the right model is the largest one that runs comfortably on hardware you’re willing to own.
A 7–8B model (Llama 3.1 8B, Qwen3 8B, Mistral 7B) on a 12GB GPU or mini PC. Great first assistant.
A 14–32B model (Qwen2.5 14–32B, Mistral Small 24B) on a 16–24GB GPU. Real RAG, coding and automation.
A 70B model (Llama 3.3 70B, Qwen2.5 72B) on a 48GB card, big Mac, or multi-GPU. Near-frontier quality, private.
MoE giants or hosted APIs for the hardest jobs — burst to these from a local base in a hybrid setup.
| Model | Type | Params | Context | VRAM @ Q4 | Deployment | License |
|---|---|---|---|---|---|---|
| Qwen2.5 0.5B | General LLM | ~0.5B | 32K | ~0.4GB | local | Apache-2.0 |
| Llama 3.2 1B | General LLM | ~1B | 128K | ~1GB | local | Llama Community License |
| Qwen2.5 1.5B | General LLM | ~1.5B | 32K | ~1GB | local | Apache-2.0 |
| DeepSeek-R1 Distill 1.5B | Reasoning | ~1.5B | 128K | ~1.5GB | local | MIT |
| Qwen2.5-Coder 1.5B | Coding LLM | ~1.5B | 32K | ~1GB | local | Apache-2.0 |
| SmolLM2 1.7B | General LLM | ~1.7B | 8K | ~1.1GB | local | Apache-2.0 |
| Gemma 2 2B | General LLM | ~2B | 8K | ~1.6GB | local | Gemma Terms of Use |
| Granite 3 2B | General LLM | ~2B | 128K | ~1.6GB | local | Apache-2.0 |
| Llama 3.2 3B | General LLM | ~3B | 128K | ~2.5GB | local | Llama Community License |
| Qwen2.5 3B | General LLM | ~3B | 32K | ~2.2GB | local | Qwen Research License |
| StarCoder2 3B | Coding LLM | ~3B | 16K | ~2.2GB | local | BigCode OpenRAIL-M |
| Phi-3.5 Mini (3.8B) | General LLM | ~3.8B | 128K | ~2.5GB | local | MIT |
| Gemma 3 4B | General LLM | ~4B | 128K | ~3GB | local | Gemma Terms of Use |
| Qwen2.5 7B | General LLM | ~7B | 128K | ~5.5GB | local | Apache-2.0 |
| Mistral 7B | General LLM | ~7B | 32K | ~5GB | local | Apache-2.0 |
| Qwen2.5-Coder 7B | Coding LLM | ~7B | 128K | ~5.5GB | local | Apache-2.0 |
| CodeLlama 7B | Coding LLM | ~7B | 16K | ~5GB | local | Llama Community License |
| StarCoder2 7B | Coding LLM | ~7B | 16K | ~5GB | local | BigCode OpenRAIL-M |
| Qwen2.5 7B Instruct | General LLM | ~7.6B | 33K | ~4.9GB | local | apache-2.0 |
| Qwen2.5 Coder 7B Instruct | Coding LLM | ~7.6B | 131K | ~4.9GB | local | apache-2.0 |
| Llama 3.1 8B | General LLM | ~8B | 128K | ~6GB | local | Llama Community License |
| Qwen3 8B | General LLM | ~8B | 128K | ~6GB | local | Apache-2.0 |
| Granite 3 8B | General LLM | ~8B | 128K | ~6GB | local | Apache-2.0 |
| DeepSeek-R1 Distill 8B | Reasoning | ~8B | 128K | ~6GB | local | MIT |
| Gemma 2 9B | General LLM | ~9B | 8K | ~7GB | local | Gemma Terms of Use |
| Gemma 3 12B | General LLM | ~12B | 128K | ~8GB | local | Gemma Terms of Use |
| Mistral Nemo 12B | General LLM | ~12B | 128K | ~8GB | local | Apache-2.0 |
| CodeLlama 13B | Coding LLM | ~13B | 16K | ~8GB | local | Llama Community License |
| Qwen2.5 14B | General LLM | ~14B | 128K | ~10GB | local | Apache-2.0 |
| Qwen3 14B | General LLM | ~14B | 128K | ~10GB | local | Apache-2.0 |
| Phi-3 Medium (14B) | General LLM | ~14B | 128K | ~9GB | local | MIT |
| Phi-4 (14B) | General LLM | ~14B | 16K | ~9GB | local | MIT |
| DeepSeek-R1 Distill 14B | Reasoning | ~14B | 128K | ~10GB | local | MIT |
| Qwen2.5-Coder 14B | Coding LLM | ~14B | 128K | ~10GB | local | Apache-2.0 |
| StarCoder2 15B | Coding LLM | ~15B | 16K | ~10GB | local | BigCode OpenRAIL-M |
| DeepSeek-Coder V2 (class) | Coding LLM | ~16B | 128K | ~11GB | local | DeepSeek License |
| Mistral Small 24B | General LLM | ~24B | 32K | ~14GB | local | Apache-2.0 |
| Gemma 2 27B | General LLM | ~27B | 8K | ~17GB | local | Gemma Terms of Use |
| Gemma 3 27B | General LLM | ~27B | 128K | ~17GB | hybrid | Gemma Terms of Use |
| Qwen2.5 32B | General LLM | ~32B | 128K | ~20GB | hybrid | Apache-2.0 |
| Qwen3 32B | General LLM | ~32B | 128K | ~20GB | hybrid | Apache-2.0 |
| DeepSeek-R1 Distill 32B | Reasoning | ~32B | 128K | ~20GB | hybrid | MIT |
| Qwen2.5-Coder 32B | Coding LLM | ~32B | 128K | ~20GB | hybrid | Apache-2.0 |
| CodeLlama 34B | Coding LLM | ~34B | 16K | ~21GB | hybrid | Llama Community License |
| Mixtral 8x7B (MoE) | General LLM | ~47B | 32K | ~28GB | hybrid | Apache-2.0 |
| Llama 3.1 70B | General LLM | ~70B | 128K | ~42GB | hybrid | Llama Community License |
| Llama 3.3 70B | General LLM | ~70B | 128K | ~42GB | hybrid | Llama Community License |
| DeepSeek-R1 Distill Llama 70B | Reasoning | ~70B | 128K | ~42GB | hybrid | MIT |
| Qwen2.5 72B | General LLM | ~72B | 128K | ~44GB | hybrid | Qwen License |
| Qwen3 235B-A22B (MoE) | General LLM | ~235B | 128K | ~130GB | cloud | Apache-2.0 |
| Llama 3.1 405B | General LLM | ~405B | 128K | ~230GB | cloud | Llama Community License |
| DeepSeek-R1 671B (MoE) | Reasoning | ~671B | 128K | ~400GB | cloud | MIT |
Pick a model, then make it a business agent
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