{
    "dataset": "Convly AI Models Database",
    "description": "Hand-verified specifications, licenses, API pricing (USD per 1M tokens) and local-hardware VRAM requirements for frontier and open-weight AI models.",
    "version": "2026-07-03",
    "source": "https://convly.ai/models/",
    "license": "CC BY 4.0",
    "attribution": "Convly.ai (https://convly.ai) — link to https://convly.ai/models/",
    "model_count": 30,
    "fields": [
        "name",
        "slug",
        "convly_url",
        "developer",
        "model_type",
        "modality",
        "parameters",
        "context_window",
        "max_output",
        "license",
        "open_weights",
        "release_date",
        "input_price",
        "output_price",
        "api_providers",
        "vram_q4",
        "min_gpu",
        "official_url"
    ],
    "models": [
        {
            "name": "Claude Fable 5",
            "slug": "claude-fable-5",
            "convly_url": "https://convly.ai/model/claude-fable-5/",
            "developer": "Anthropic",
            "model_type": "LLM (frontier reasoning)",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "128K",
            "license": "Proprietary",
            "open_weights": "no",
            "release_date": "2026",
            "input_price": 10,
            "output_price": 50,
            "api_providers": "Anthropic, AWS",
            "vram_q4": null,
            "min_gpu": null,
            "official_url": "https://www.anthropic.com/claude"
        },
        {
            "name": "Claude Haiku 4.5",
            "slug": "claude-haiku-4-5",
            "convly_url": "https://convly.ai/model/claude-haiku-4-5/",
            "developer": "Anthropic",
            "model_type": "LLM",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "200K",
            "max_output": "64K",
            "license": "Proprietary",
            "open_weights": "no",
            "release_date": "2025",
            "input_price": 1,
            "output_price": 5,
            "api_providers": "Anthropic, AWS, Vertex AI, Azure",
            "vram_q4": null,
            "min_gpu": null,
            "official_url": "https://www.anthropic.com/claude"
        },
        {
            "name": "Claude Opus 4.8",
            "slug": "claude-opus-4-8",
            "convly_url": "https://convly.ai/model/claude-opus-4-8/",
            "developer": "Anthropic",
            "model_type": "LLM (reasoning)",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "128K",
            "license": "Proprietary",
            "open_weights": "no",
            "release_date": "2026",
            "input_price": 5,
            "output_price": 25,
            "api_providers": "Anthropic, AWS, Vertex AI, Azure",
            "vram_q4": null,
            "min_gpu": null,
            "official_url": "https://www.anthropic.com/claude"
        },
        {
            "name": "Claude Sonnet 4.6",
            "slug": "claude-sonnet-4-6",
            "convly_url": "https://convly.ai/model/claude-sonnet-4-6/",
            "developer": "Anthropic",
            "model_type": "LLM",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "64K",
            "license": "Proprietary",
            "open_weights": "no",
            "release_date": "2025",
            "input_price": 3,
            "output_price": 15,
            "api_providers": "Anthropic, AWS, Vertex AI, Azure",
            "vram_q4": null,
            "min_gpu": null,
            "official_url": "https://www.anthropic.com/claude"
        },
        {
            "name": "DeepSeek R1",
            "slug": "deepseek-r1",
            "convly_url": "https://convly.ai/model/deepseek-r1/",
            "developer": "DeepSeek",
            "model_type": "LLM (MoE, reasoning)",
            "modality": "Text → Text",
            "parameters": "671B total / 37B active (MoE)",
            "context_window": "128K",
            "max_output": null,
            "license": "MIT (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.5,
            "output_price": 2.15,
            "api_providers": "DeepSeek, DeepInfra, OpenRouter",
            "vram_q4": "~400 GB",
            "min_gpu": "Multi-GPU server",
            "official_url": "https://huggingface.co/deepseek-ai"
        },
        {
            "name": "DeepSeek R1 Distill Llama 70B",
            "slug": "deepseek-r1-distill-llama-70b",
            "convly_url": "https://convly.ai/model/deepseek-r1-distill-llama-70b/",
            "developer": "DeepSeek",
            "model_type": "LLM (dense, reasoning)",
            "modality": "Text → Text",
            "parameters": "70B",
            "context_window": "128K",
            "max_output": null,
            "license": "MIT (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.8,
            "output_price": 0.8,
            "api_providers": "DeepInfra, OpenRouter, Ollama",
            "vram_q4": "~40 GB",
            "min_gpu": "2× RTX 4090 / 1× 48GB",
            "official_url": "https://huggingface.co/deepseek-ai"
        },
        {
            "name": "DeepSeek V4-Flash",
            "slug": "deepseek-v4-flash",
            "convly_url": "https://convly.ai/model/deepseek-v4-flash/",
            "developer": "DeepSeek",
            "model_type": "LLM (MoE)",
            "modality": "Text → Text",
            "parameters": "284B total / ~13B active (MoE)",
            "context_window": "1M",
            "max_output": "384K",
            "license": "MIT (open)",
            "open_weights": "yes",
            "release_date": "2026-04",
            "input_price": 0.14,
            "output_price": 0.28,
            "api_providers": "DeepSeek, OpenRouter",
            "vram_q4": "~140 GB",
            "min_gpu": "2× H100 80GB (4-bit)",
            "official_url": "https://huggingface.co/deepseek-ai"
        },
        {
            "name": "DeepSeek V4-Pro",
            "slug": "deepseek-v4-pro",
            "convly_url": "https://convly.ai/model/deepseek-v4-pro/",
            "developer": "DeepSeek",
            "model_type": "LLM (MoE)",
            "modality": "Text → Text",
            "parameters": "1.6T total / ~49B active (MoE)",
            "context_window": "1M",
            "max_output": "384K",
            "license": "MIT (open)",
            "open_weights": "yes",
            "release_date": "2026-04",
            "input_price": 0.435,
            "output_price": 0.87,
            "api_providers": "DeepSeek, OpenRouter",
            "vram_q4": "~800 GB",
            "min_gpu": "Multi-GPU server (e.g. 8× H100 80GB)",
            "official_url": "https://huggingface.co/deepseek-ai"
        },
        {
            "name": "Gemini 3.1 Pro",
            "slug": "gemini-3-1-pro",
            "convly_url": "https://convly.ai/model/gemini-3-1-pro/",
            "developer": "Google",
            "model_type": "LLM (multimodal)",
            "modality": "Text, Image, Audio, Video → Text",
            "parameters": "Undisclosed",
            "context_window": "1.05M",
            "max_output": "65K",
            "license": "Proprietary",
            "open_weights": "no",
            "release_date": "2026",
            "input_price": 2,
            "output_price": 12,
            "api_providers": "Google AI Studio, Vertex AI",
            "vram_q4": null,
            "min_gpu": null,
            "official_url": "https://ai.google.dev/"
        },
        {
            "name": "Gemini 3.5 Flash",
            "slug": "gemini-3-5-flash",
            "convly_url": "https://convly.ai/model/gemini-3-5-flash/",
            "developer": "Google",
            "model_type": "LLM (multimodal)",
            "modality": "Text, Image, Audio, Video → Text",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "65K",
            "license": "Proprietary",
            "open_weights": "no",
            "release_date": "2026",
            "input_price": 1.5,
            "output_price": 9,
            "api_providers": "Google AI Studio, Vertex AI",
            "vram_q4": null,
            "min_gpu": null,
            "official_url": "https://ai.google.dev/"
        },
        {
            "name": "Gemma 3 12B",
            "slug": "gemma-3-12b",
            "convly_url": "https://convly.ai/model/gemma-3-12b/",
            "developer": "Google",
            "model_type": "LLM (multimodal)",
            "modality": "Text, Image → Text",
            "parameters": "12B",
            "context_window": "128K",
            "max_output": null,
            "license": "Gemma (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.05,
            "output_price": 0.15,
            "api_providers": "Google AI Studio, OpenRouter, Ollama",
            "vram_q4": "~8 GB",
            "min_gpu": "RTX 4070 12GB",
            "official_url": "https://huggingface.co/google"
        },
        {
            "name": "Gemma 3 27B",
            "slug": "gemma-3-27b",
            "convly_url": "https://convly.ai/model/gemma-3-27b/",
            "developer": "Google",
            "model_type": "LLM (multimodal)",
            "modality": "Text, Image → Text",
            "parameters": "27B",
            "context_window": "128K",
            "max_output": null,
            "license": "Gemma (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.08,
            "output_price": 0.16,
            "api_providers": "Google AI Studio, OpenRouter, Ollama",
            "vram_q4": "~16 GB",
            "min_gpu": "RTX 4080 16GB / RTX 4090",
            "official_url": "https://huggingface.co/google"
        },
        {
            "name": "Gemma 3 4B",
            "slug": "gemma-3-4b",
            "convly_url": "https://convly.ai/model/gemma-3-4b/",
            "developer": "Google",
            "model_type": "LLM (multimodal)",
            "modality": "Text, Image → Text",
            "parameters": "4B",
            "context_window": "128K",
            "max_output": null,
            "license": "Gemma (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.05,
            "output_price": 0.1,
            "api_providers": "Google AI Studio, Ollama",
            "vram_q4": "~3 GB",
            "min_gpu": "Any 6GB+ GPU",
            "official_url": "https://huggingface.co/google"
        },
        {
            "name": "GLM 5.2",
            "slug": "glm-5-2",
            "convly_url": "https://convly.ai/model/glm-5-2/",
            "developer": "Zhipu AI",
            "model_type": "LLM (coding/agentic, MoE)",
            "modality": "Text → Text",
            "parameters": "744B total / ~40B active (MoE)",
            "context_window": "1M",
            "max_output": "131K",
            "license": "MIT (open)",
            "open_weights": "yes",
            "release_date": "2026-06",
            "input_price": 1.4,
            "output_price": 4.4,
            "api_providers": "Zhipu (Z.ai), OpenRouter",
            "vram_q4": "~370 GB",
            "min_gpu": "Multi-GPU server (e.g. 5× H100 80GB)",
            "official_url": "https://github.com/zai-org/GLM-5"
        },
        {
            "name": "GPT-5.5",
            "slug": "gpt-5-5",
            "convly_url": "https://convly.ai/model/gpt-5-5/",
            "developer": "OpenAI",
            "model_type": "LLM (reasoning)",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "1.05M",
            "max_output": "128K",
            "license": "Proprietary",
            "open_weights": "no",
            "release_date": "2026",
            "input_price": 5,
            "output_price": 30,
            "api_providers": "OpenAI, Azure",
            "vram_q4": null,
            "min_gpu": null,
            "official_url": "https://openai.com/api/"
        },
        {
            "name": "Kimi K2.7 Code",
            "slug": "kimi-k2-7-code",
            "convly_url": "https://convly.ai/model/kimi-k2-7-code/",
            "developer": "Moonshot AI",
            "model_type": "LLM (coding, MoE)",
            "modality": "Text → Text",
            "parameters": "1T total / 32B active (MoE)",
            "context_window": "256K",
            "max_output": "—",
            "license": "Modified MIT (open)",
            "open_weights": "yes",
            "release_date": "2026-06",
            "input_price": 0.6,
            "output_price": 2.5,
            "api_providers": "Moonshot, OpenRouter",
            "vram_q4": "~500 GB",
            "min_gpu": "Multi-GPU server",
            "official_url": "https://huggingface.co/moonshotai"
        },
        {
            "name": "Llama 3.1 8B",
            "slug": "llama-3-1-8b",
            "convly_url": "https://convly.ai/model/llama-3-1-8b/",
            "developer": "Meta",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "8B",
            "context_window": "128K",
            "max_output": null,
            "license": "Llama 3.1 Community (open)",
            "open_weights": "yes",
            "release_date": "2024",
            "input_price": 0.02,
            "output_price": 0.03,
            "api_providers": "Together, DeepInfra, OpenRouter, Ollama",
            "vram_q4": "~5 GB",
            "min_gpu": "Any 8GB GPU",
            "official_url": "https://www.llama.com/"
        },
        {
            "name": "Llama 3.3 70B",
            "slug": "llama-3-3-70b",
            "convly_url": "https://convly.ai/model/llama-3-3-70b/",
            "developer": "Meta",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "70B",
            "context_window": "128K",
            "max_output": null,
            "license": "Llama 3.3 Community (open)",
            "open_weights": "yes",
            "release_date": "2024",
            "input_price": 0.1,
            "output_price": 0.32,
            "api_providers": "Together, DeepInfra, OpenRouter, Ollama",
            "vram_q4": "~40 GB",
            "min_gpu": "2× RTX 4090 / 1× 48GB",
            "official_url": "https://www.llama.com/"
        },
        {
            "name": "Llama 4 Maverick",
            "slug": "llama-4-maverick",
            "convly_url": "https://convly.ai/model/llama-4-maverick/",
            "developer": "Meta",
            "model_type": "Multimodal (MoE)",
            "modality": "Text, Image → Text",
            "parameters": "400B total / 17B active (MoE)",
            "context_window": "1M",
            "max_output": null,
            "license": "Llama 4 Community (EU-restricted)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.15,
            "output_price": 0.6,
            "api_providers": "Meta, Together, OpenRouter",
            "vram_q4": "~240 GB",
            "min_gpu": "Multi-GPU server",
            "official_url": "https://www.llama.com/models/llama-4/"
        },
        {
            "name": "Llama 4 Scout",
            "slug": "llama-4-scout",
            "convly_url": "https://convly.ai/model/llama-4-scout/",
            "developer": "Meta",
            "model_type": "Multimodal (MoE)",
            "modality": "Text, Image → Text",
            "parameters": "109B total / 17B active (MoE)",
            "context_window": "10M",
            "max_output": null,
            "license": "Llama 4 Community (EU-restricted)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.1,
            "output_price": 0.3,
            "api_providers": "Meta, Together, OpenRouter",
            "vram_q4": "~65 GB",
            "min_gpu": "H100 80GB / Mac 128GB",
            "official_url": "https://www.llama.com/models/llama-4/"
        },
        {
            "name": "Mistral 7B",
            "slug": "mistral-7b",
            "convly_url": "https://convly.ai/model/mistral-7b/",
            "developer": "Mistral AI",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "7B",
            "context_window": "32K",
            "max_output": null,
            "license": "Apache 2.0 (open)",
            "open_weights": "yes",
            "release_date": "2023",
            "input_price": 0.02,
            "output_price": 0.03,
            "api_providers": "Mistral, DeepInfra, OpenRouter, Ollama",
            "vram_q4": "~4.5 GB",
            "min_gpu": "Any 6GB GPU",
            "official_url": "https://huggingface.co/mistralai"
        },
        {
            "name": "Mistral Large 3",
            "slug": "mistral-large-3",
            "convly_url": "https://convly.ai/model/mistral-large-3/",
            "developer": "Mistral AI",
            "model_type": "LLM (MoE)",
            "modality": "Text → Text",
            "parameters": "675B total / 41B active (MoE)",
            "context_window": "256K",
            "max_output": null,
            "license": "Apache 2.0 (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 2,
            "output_price": 6,
            "api_providers": "Mistral, OpenRouter",
            "vram_q4": "~400 GB",
            "min_gpu": "Multi-GPU server",
            "official_url": "https://huggingface.co/mistralai"
        },
        {
            "name": "Mistral NeMo 12B",
            "slug": "mistral-nemo-12b",
            "convly_url": "https://convly.ai/model/mistral-nemo-12b/",
            "developer": "Mistral AI",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "12B",
            "context_window": "128K",
            "max_output": null,
            "license": "Apache 2.0 (open)",
            "open_weights": "yes",
            "release_date": "2024",
            "input_price": 0.02,
            "output_price": 0.04,
            "api_providers": "Mistral, OpenRouter, Ollama",
            "vram_q4": "~7.5 GB",
            "min_gpu": "RTX 4070 12GB / RTX 3060",
            "official_url": "https://huggingface.co/mistralai"
        },
        {
            "name": "NVIDIA Nemotron 3 Nano Omni",
            "slug": "nvidia-nemotron-3-nano-omni",
            "convly_url": "https://convly.ai/model/nvidia-nemotron-3-nano-omni/",
            "developer": "NVIDIA",
            "model_type": "Multimodal (omni)",
            "modality": "Text, Image, Audio, Video → Text",
            "parameters": "30B total / ~3B active (MoE)",
            "context_window": "256K",
            "max_output": "—",
            "license": "NVIDIA Open Model Agreement",
            "open_weights": "yes",
            "release_date": "2026",
            "input_price": null,
            "output_price": null,
            "api_providers": "Hugging Face, OpenRouter, NVIDIA NIM",
            "vram_q4": "~21 GB (NVFP4)",
            "min_gpu": "RTX 5090 32GB (NVFP4) / H100 80GB (BF16)",
            "official_url": "https://huggingface.co/nvidia"
        },
        {
            "name": "Phi-4",
            "slug": "phi-4",
            "convly_url": "https://convly.ai/model/phi-4/",
            "developer": "Microsoft",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "14B",
            "context_window": "16K",
            "max_output": null,
            "license": "MIT (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.07,
            "output_price": 0.14,
            "api_providers": "Azure, OpenRouter, Ollama",
            "vram_q4": "~9 GB",
            "min_gpu": "RTX 4070 12GB / RTX 3060 12GB",
            "official_url": "https://huggingface.co/microsoft"
        },
        {
            "name": "Qwen3 14B",
            "slug": "qwen3-14b",
            "convly_url": "https://convly.ai/model/qwen3-14b/",
            "developer": "Alibaba",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "14B",
            "context_window": "128K",
            "max_output": null,
            "license": "Apache 2.0 (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.12,
            "output_price": 0.24,
            "api_providers": "Alibaba, OpenRouter, Ollama",
            "vram_q4": "~9 GB",
            "min_gpu": "RTX 4070 12GB (Q4)",
            "official_url": "https://huggingface.co/Qwen"
        },
        {
            "name": "Qwen3 235B-A22B",
            "slug": "qwen3-235b-a22b",
            "convly_url": "https://convly.ai/model/qwen3-235b-a22b/",
            "developer": "Alibaba",
            "model_type": "LLM (MoE)",
            "modality": "Text → Text",
            "parameters": "235B total / 22B active (MoE)",
            "context_window": "128K",
            "max_output": null,
            "license": "Apache 2.0 (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.45,
            "output_price": 1.8,
            "api_providers": "Alibaba, OpenRouter",
            "vram_q4": "~140 GB",
            "min_gpu": "Multi-GPU or Mac 192GB",
            "official_url": "https://huggingface.co/Qwen"
        },
        {
            "name": "Qwen3 30B-A3B",
            "slug": "qwen3-30b-a3b",
            "convly_url": "https://convly.ai/model/qwen3-30b-a3b/",
            "developer": "Alibaba",
            "model_type": "LLM (MoE)",
            "modality": "Text → Text",
            "parameters": "30B total / 3B active (MoE)",
            "context_window": "128K",
            "max_output": null,
            "license": "Apache 2.0 (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.12,
            "output_price": 0.5,
            "api_providers": "Alibaba, OpenRouter, Ollama",
            "vram_q4": "~18 GB",
            "min_gpu": "RTX 4090 24GB (Q4) — fast, 3B active",
            "official_url": "https://huggingface.co/Qwen"
        },
        {
            "name": "Qwen3 32B",
            "slug": "qwen3-32b",
            "convly_url": "https://convly.ai/model/qwen3-32b/",
            "developer": "Alibaba",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "32B",
            "context_window": "128K",
            "max_output": null,
            "license": "Apache 2.0 (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.08,
            "output_price": 0.28,
            "api_providers": "Alibaba, OpenRouter, Ollama",
            "vram_q4": "~20 GB",
            "min_gpu": "RTX 4090 24GB (Q4)",
            "official_url": "https://huggingface.co/Qwen"
        },
        {
            "name": "Qwen3 8B",
            "slug": "qwen3-8b",
            "convly_url": "https://convly.ai/model/qwen3-8b/",
            "developer": "Alibaba",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "8B",
            "context_window": "128K",
            "max_output": null,
            "license": "Apache 2.0 (open)",
            "open_weights": "yes",
            "release_date": "2025",
            "input_price": 0.04,
            "output_price": 0.14,
            "api_providers": "Alibaba, OpenRouter, Ollama",
            "vram_q4": "~5 GB",
            "min_gpu": "RTX 3060 8GB / any 8GB GPU",
            "official_url": "https://huggingface.co/Qwen"
        }
    ]
}