{
    "metadata": {
        "name": "Convly AI Models Database",
        "description": "Hand-verified specifications, licences, API pricing (USD) and local-hardware VRAM requirements for frontier and open-weight AI models.",
        "source": "https://convly.ai/models/",
        "license": "CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)",
        "attribution": "Convly AI — https://convly.ai/models/",
        "generated": "2026-09-20T21:40:05+00:00",
        "model_count": 43
    },
    "models": [
        {
            "slug": "claude-fable-5",
            "name": "Claude Fable 5",
            "developer": "Anthropic",
            "model_type": "LLM (frontier reasoning)",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "128K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026",
            "input_price": "10.00",
            "output_price": "50.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "60",
            "retired": "",
            "url": "https://convly.ai/model/claude-fable-5/"
        },
        {
            "slug": "claude-haiku-4-5",
            "name": "Claude Haiku 4.5",
            "developer": "Anthropic",
            "model_type": "LLM",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "200K",
            "max_output": "64K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2025",
            "input_price": "1.00",
            "output_price": "5.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "37",
            "retired": "",
            "url": "https://convly.ai/model/claude-haiku-4-5/"
        },
        {
            "slug": "claude-opus-4-8",
            "name": "Claude Opus 4.8",
            "developer": "Anthropic",
            "model_type": "LLM (reasoning)",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "128K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026",
            "input_price": "5.00",
            "output_price": "25.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "55.7",
            "retired": "",
            "url": "https://convly.ai/model/claude-opus-4-8/"
        },
        {
            "slug": "claude-opus-5",
            "name": "Claude Opus 5",
            "developer": "Anthropic",
            "model_type": "Reasoning / agentic",
            "modality": "Text, vision",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "128K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026-07",
            "input_price": "5.00",
            "output_price": "25.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "61",
            "retired": "",
            "url": "https://convly.ai/model/claude-opus-5/"
        },
        {
            "slug": "claude-sonnet-4-6",
            "name": "Claude Sonnet 4.6",
            "developer": "Anthropic",
            "model_type": "LLM",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "64K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2025",
            "input_price": "3.00",
            "output_price": "15.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "47",
            "retired": "",
            "url": "https://convly.ai/model/claude-sonnet-4-6/"
        },
        {
            "slug": "claude-sonnet-5",
            "name": "Claude Sonnet 5",
            "developer": "Anthropic",
            "model_type": "General / agentic",
            "modality": "Text, vision",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "128K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026-06",
            "input_price": "2.00",
            "output_price": "10.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/claude-sonnet-5/"
        },
        {
            "slug": "deepseek-r1",
            "name": "DeepSeek R1",
            "developer": "DeepSeek",
            "model_type": "LLM (MoE, reasoning)",
            "modality": "Text → Text",
            "parameters": "671B total / 37B active (MoE)",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "MIT (open)",
            "release_date": "2025",
            "input_price": "0.50",
            "output_price": "2.15",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~400 GB",
            "intelligence": "20.1",
            "retired": "",
            "url": "https://convly.ai/model/deepseek-r1/"
        },
        {
            "slug": "deepseek-r1-distill-llama-70b",
            "name": "DeepSeek R1 Distill Llama 70B",
            "developer": "DeepSeek",
            "model_type": "LLM (dense, reasoning)",
            "modality": "Text → Text",
            "parameters": "70B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "MIT (open)",
            "release_date": "2025",
            "input_price": "0.80",
            "output_price": "0.80",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~40 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/deepseek-r1-distill-llama-70b/"
        },
        {
            "slug": "deepseek-v4-flash",
            "name": "DeepSeek V4-Flash",
            "developer": "DeepSeek",
            "model_type": "LLM (MoE)",
            "modality": "Text → Text",
            "parameters": "284B total / ~13B active (MoE)",
            "context_window": "1M",
            "max_output": "384K",
            "open_weights": "yes",
            "license": "MIT (open)",
            "release_date": "2026-04",
            "input_price": "0.14",
            "output_price": "0.28",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~140 GB",
            "intelligence": "40.3",
            "retired": "",
            "url": "https://convly.ai/model/deepseek-v4-flash/"
        },
        {
            "slug": "deepseek-v4-pro",
            "name": "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",
            "open_weights": "yes",
            "license": "MIT (open)",
            "release_date": "2026-04",
            "input_price": "0.435",
            "output_price": "0.87",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~800 GB",
            "intelligence": "44.3",
            "retired": "",
            "url": "https://convly.ai/model/deepseek-v4-pro/"
        },
        {
            "slug": "gemini-2-5-pro",
            "name": "Gemini 2.5 Pro",
            "developer": "Google (Google DeepMind)",
            "model_type": "LLM (frontier reasoning / thinking)",
            "modality": "Text, Image, Audio, Video, PDF → Text",
            "parameters": "Undisclosed",
            "context_window": "1M (1,048,576 tokens)",
            "max_output": "64K (65,536 tokens)",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "March 2025 (preview); June 17, 2025 (GA)",
            "input_price": "1.25",
            "output_price": "10",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/gemini-2-5-pro/"
        },
        {
            "slug": "gemini-3-1-pro",
            "name": "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",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026",
            "input_price": "2.00",
            "output_price": "12.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "46.5",
            "retired": "",
            "url": "https://convly.ai/model/gemini-3-1-pro/"
        },
        {
            "slug": "gemini-3-5-flash",
            "name": "Gemini 3.5 Flash",
            "developer": "Google",
            "model_type": "LLM (multimodal)",
            "modality": "Text, Image, Audio, Video → Text",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "65K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026",
            "input_price": "1.50",
            "output_price": "9.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "50.2",
            "retired": "",
            "url": "https://convly.ai/model/gemini-3-5-flash/"
        },
        {
            "slug": "gemini-3-6-flash",
            "name": "Gemini 3.6 Flash",
            "developer": "Google",
            "model_type": "Fast / general",
            "modality": "Text, vision, audio",
            "parameters": "Undisclosed",
            "context_window": "1M",
            "max_output": "64K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026-07",
            "input_price": "1.50",
            "output_price": "7.50",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/gemini-3-6-flash/"
        },
        {
            "slug": "gemma-3-12b",
            "name": "Gemma 3 12B",
            "developer": "Google",
            "model_type": "LLM (multimodal)",
            "modality": "Text, Image → Text",
            "parameters": "12B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Gemma (open)",
            "release_date": "2025",
            "input_price": "0.05",
            "output_price": "0.15",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~8 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/gemma-3-12b/"
        },
        {
            "slug": "gemma-3-27b",
            "name": "Gemma 3 27B",
            "developer": "Google",
            "model_type": "LLM (multimodal)",
            "modality": "Text, Image → Text",
            "parameters": "27B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Gemma (open)",
            "release_date": "2025",
            "input_price": "0.08",
            "output_price": "0.16",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~16 GB",
            "intelligence": "7.4",
            "retired": "",
            "url": "https://convly.ai/model/gemma-3-27b/"
        },
        {
            "slug": "gemma-3-4b",
            "name": "Gemma 3 4B",
            "developer": "Google",
            "model_type": "LLM (multimodal)",
            "modality": "Text, Image → Text",
            "parameters": "4B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Gemma (open)",
            "release_date": "2025",
            "input_price": "0.05",
            "output_price": "0.1",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~3 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/gemma-3-4b/"
        },
        {
            "slug": "glm-5-2",
            "name": "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",
            "open_weights": "yes",
            "license": "MIT (open)",
            "release_date": "2026-06",
            "input_price": "1.4",
            "output_price": "4.4",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~370 GB",
            "intelligence": "51.1",
            "retired": "",
            "url": "https://convly.ai/model/glm-5-2/"
        },
        {
            "slug": "gpt-5-5",
            "name": "GPT-5.5",
            "developer": "OpenAI",
            "model_type": "LLM (reasoning)",
            "modality": "Text, Vision → Text",
            "parameters": "Undisclosed",
            "context_window": "1.05M",
            "max_output": "128K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026",
            "input_price": "5.00",
            "output_price": "30.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "54.8",
            "retired": "",
            "url": "https://convly.ai/model/gpt-5-5/"
        },
        {
            "slug": "gpt-5-6-sol",
            "name": "GPT-5.6 Sol",
            "developer": "OpenAI",
            "model_type": "Reasoning / agentic",
            "modality": "Text, vision",
            "parameters": "Undisclosed",
            "context_window": "1.05M",
            "max_output": "128K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026-06",
            "input_price": "5.00",
            "output_price": "30.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "59",
            "retired": "",
            "url": "https://convly.ai/model/gpt-5-6-sol/"
        },
        {
            "slug": "gpt-6-astra",
            "name": "GPT-6 Astra",
            "developer": "OpenAI",
            "model_type": "Reasoning / agentic",
            "modality": "Text, vision",
            "parameters": "Undisclosed",
            "context_window": "1.05M",
            "max_output": "128K",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "2026-09",
            "input_price": "10.00",
            "output_price": "50.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "61",
            "retired": "",
            "url": "https://convly.ai/model/gpt-6-astra/"
        },
        {
            "slug": "grok-4",
            "name": "Grok 4",
            "developer": "xAI",
            "model_type": "Large language model (reasoning)",
            "modality": "Text + image input, text output",
            "parameters": "Undisclosed",
            "context_window": "256,000 tokens",
            "max_output": "Undisclosed",
            "open_weights": "no",
            "license": "Proprietary",
            "release_date": "July 9, 2025",
            "input_price": "3",
            "output_price": "15",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/grok-4/"
        },
        {
            "slug": "kimi-k2-7-code",
            "name": "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": "",
            "open_weights": "yes",
            "license": "Modified MIT (open)",
            "release_date": "2026-06",
            "input_price": "0.6",
            "output_price": "2.5",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~500 GB",
            "intelligence": "42",
            "retired": "",
            "url": "https://convly.ai/model/kimi-k2-7-code/"
        },
        {
            "slug": "kimi-k3",
            "name": "Kimi K3",
            "developer": "Moonshot AI",
            "model_type": "LLM (MoE, reasoning, multimodal)",
            "modality": "Text, Vision → Text",
            "parameters": "2.8T total / 16 of 896 experts active (MoE)",
            "context_window": "1M",
            "max_output": "",
            "open_weights": "yes",
            "license": "Open weights (due 2026-07-27)",
            "release_date": "2026-07",
            "input_price": "3.00",
            "output_price": "15.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~1.4 TB",
            "intelligence": "57",
            "retired": "",
            "url": "https://convly.ai/model/kimi-k3/"
        },
        {
            "slug": "kling-2-5-turbo-pro",
            "name": "Kling 2.5 Turbo Pro",
            "developer": "Kuaishou",
            "model_type": "Video generation",
            "modality": "Text, Image -> Video",
            "parameters": "",
            "context_window": "",
            "max_output": "",
            "open_weights": "no",
            "license": "",
            "release_date": "2026",
            "input_price": "",
            "output_price": "",
            "price_unit": "second",
            "price_tiers": "via fal|—|0.07",
            "vram_q4": "",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/kling-2-5-turbo-pro/"
        },
        {
            "slug": "llama-3-1-8b",
            "name": "Llama 3.1 8B",
            "developer": "Meta",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "8B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Llama 3.1 Community (open)",
            "release_date": "2024",
            "input_price": "0.02",
            "output_price": "0.03",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~5 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/llama-3-1-8b/"
        },
        {
            "slug": "llama-3-3-70b",
            "name": "Llama 3.3 70B",
            "developer": "Meta",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "70B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Llama 3.3 Community (open)",
            "release_date": "2024",
            "input_price": "0.10",
            "output_price": "0.32",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~40 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/llama-3-3-70b/"
        },
        {
            "slug": "llama-4-maverick",
            "name": "Llama 4 Maverick",
            "developer": "Meta",
            "model_type": "Multimodal (MoE)",
            "modality": "Text, Image → Text",
            "parameters": "400B total / 17B active (MoE)",
            "context_window": "1M",
            "max_output": "",
            "open_weights": "yes",
            "license": "Llama 4 Community (EU-restricted)",
            "release_date": "2025",
            "input_price": "0.2",
            "output_price": "0.8",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~240 GB",
            "intelligence": "14.3",
            "retired": "",
            "url": "https://convly.ai/model/llama-4-maverick/"
        },
        {
            "slug": "llama-4-scout",
            "name": "Llama 4 Scout",
            "developer": "Meta",
            "model_type": "Multimodal (MoE)",
            "modality": "Text, Image → Text",
            "parameters": "109B total / 17B active (MoE)",
            "context_window": "10M",
            "max_output": "",
            "open_weights": "yes",
            "license": "Llama 4 Community (EU-restricted)",
            "release_date": "2025",
            "input_price": "0.1",
            "output_price": "0.3",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~65 GB",
            "intelligence": "10.0",
            "retired": "",
            "url": "https://convly.ai/model/llama-4-scout/"
        },
        {
            "slug": "mistral-7b",
            "name": "Mistral 7B",
            "developer": "Mistral AI",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "7B",
            "context_window": "32K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Apache 2.0 (open)",
            "release_date": "2023",
            "input_price": "0.02",
            "output_price": "0.03",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~4.5 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/mistral-7b/"
        },
        {
            "slug": "mistral-large-3",
            "name": "Mistral Large 3",
            "developer": "Mistral AI",
            "model_type": "LLM (MoE)",
            "modality": "Text → Text",
            "parameters": "675B total / 41B active (MoE)",
            "context_window": "256K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Apache 2.0 (open)",
            "release_date": "2025",
            "input_price": "2.00",
            "output_price": "6.00",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~400 GB",
            "intelligence": "15.9",
            "retired": "",
            "url": "https://convly.ai/model/mistral-large-3/"
        },
        {
            "slug": "mistral-nemo-12b",
            "name": "Mistral NeMo 12B",
            "developer": "Mistral AI",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "12B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Apache 2.0 (open)",
            "release_date": "2024",
            "input_price": "0.02",
            "output_price": "0.04",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~7.5 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/mistral-nemo-12b/"
        },
        {
            "slug": "nvidia-nemotron-3-nano-omni",
            "name": "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": "",
            "open_weights": "yes",
            "license": "NVIDIA Open Model Agreement",
            "release_date": "2026",
            "input_price": "",
            "output_price": "",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~21 GB (NVFP4)",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/nvidia-nemotron-3-nano-omni/"
        },
        {
            "slug": "phi-4",
            "name": "Phi-4",
            "developer": "Microsoft",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "14B",
            "context_window": "16K",
            "max_output": "",
            "open_weights": "yes",
            "license": "MIT (open)",
            "release_date": "2025",
            "input_price": "0.07",
            "output_price": "0.14",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~9 GB",
            "intelligence": "4.9",
            "retired": "",
            "url": "https://convly.ai/model/phi-4/"
        },
        {
            "slug": "qwen3-14b",
            "name": "Qwen3 14B",
            "developer": "Alibaba",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "14B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Apache 2.0 (open)",
            "release_date": "2025",
            "input_price": "0.12",
            "output_price": "0.24",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~9 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/qwen3-14b/"
        },
        {
            "slug": "qwen3-235b-a22b",
            "name": "Qwen3 235B-A22B",
            "developer": "Alibaba",
            "model_type": "LLM (MoE)",
            "modality": "Text → Text",
            "parameters": "235B total / 22B active (MoE)",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Apache 2.0 (open)",
            "release_date": "2025",
            "input_price": "0.45",
            "output_price": "1.8",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~140 GB",
            "intelligence": "13",
            "retired": "",
            "url": "https://convly.ai/model/qwen3-235b-a22b/"
        },
        {
            "slug": "qwen3-30b-a3b",
            "name": "Qwen3 30B-A3B",
            "developer": "Alibaba",
            "model_type": "LLM (MoE)",
            "modality": "Text → Text",
            "parameters": "30B total / 3B active (MoE)",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Apache 2.0 (open)",
            "release_date": "2025",
            "input_price": "0.12",
            "output_price": "0.5",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~18 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/qwen3-30b-a3b/"
        },
        {
            "slug": "qwen3-32b",
            "name": "Qwen3 32B",
            "developer": "Alibaba",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "32B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Apache 2.0 (open)",
            "release_date": "2025",
            "input_price": "0.08",
            "output_price": "0.28",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~20 GB",
            "intelligence": "12",
            "retired": "",
            "url": "https://convly.ai/model/qwen3-32b/"
        },
        {
            "slug": "qwen3-8b",
            "name": "Qwen3 8B",
            "developer": "Alibaba",
            "model_type": "LLM (dense)",
            "modality": "Text → Text",
            "parameters": "8B",
            "context_window": "128K",
            "max_output": "",
            "open_weights": "yes",
            "license": "Apache 2.0 (open)",
            "release_date": "2025",
            "input_price": "0.04",
            "output_price": "0.14",
            "price_unit": "",
            "price_tiers": "",
            "vram_q4": "~5 GB",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/qwen3-8b/"
        },
        {
            "slug": "sora-2",
            "name": "Sora 2",
            "developer": "OpenAI",
            "model_type": "Video generation",
            "modality": "Text, Image -> Video",
            "parameters": "",
            "context_window": "",
            "max_output": "",
            "open_weights": "no",
            "license": "",
            "release_date": "2026",
            "input_price": "",
            "output_price": "",
            "price_unit": "second",
            "price_tiers": "Standard|720p|0.10 | Batch|720p|0.05",
            "vram_q4": "",
            "intelligence": "",
            "retired": "2026-09-24 (Videos API shutdown, no replacement)",
            "url": "https://convly.ai/model/sora-2/"
        },
        {
            "slug": "sora-2-pro",
            "name": "Sora 2 Pro",
            "developer": "OpenAI",
            "model_type": "Video generation",
            "modality": "Text, Image -> Video",
            "parameters": "",
            "context_window": "",
            "max_output": "",
            "open_weights": "no",
            "license": "",
            "release_date": "2026",
            "input_price": "",
            "output_price": "",
            "price_unit": "second",
            "price_tiers": "Batch|720p|0.15 | Batch|1024p|0.25 | Batch|1080p|0.35 | Standard|720p|0.30 | Standard|1024p|0.50 | Standard|1080p|0.70",
            "vram_q4": "",
            "intelligence": "",
            "retired": "2026-09-24 (Videos API shutdown, no replacement)",
            "url": "https://convly.ai/model/sora-2-pro/"
        },
        {
            "slug": "veo-3-1",
            "name": "Veo 3.1",
            "developer": "Google",
            "model_type": "Video generation",
            "modality": "Text, Image -> Video",
            "parameters": "",
            "context_window": "",
            "max_output": "",
            "open_weights": "no",
            "license": "",
            "release_date": "2026",
            "input_price": "",
            "output_price": "",
            "price_unit": "second",
            "price_tiers": "Lite|720p|0.05 | Lite|1080p|0.08 | Fast|720p|0.10 | Fast|1080p|0.12 | Fast|4K|0.30 | Standard|720p/1080p|0.40 | Standard|4K|0.60",
            "vram_q4": "",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/veo-3-1/"
        },
        {
            "slug": "wan-2-5",
            "name": "Wan 2.5",
            "developer": "Alibaba",
            "model_type": "Video generation",
            "modality": "Text, Image -> Video",
            "parameters": "",
            "context_window": "",
            "max_output": "",
            "open_weights": "no",
            "license": "",
            "release_date": "2026",
            "input_price": "",
            "output_price": "",
            "price_unit": "second",
            "price_tiers": "via fal|—|0.05",
            "vram_q4": "",
            "intelligence": "",
            "retired": "",
            "url": "https://convly.ai/model/wan-2-5/"
        }
    ]
}