{
  "_meta": {
    "name": "FrankX LLM Provider Hub",
    "description": "Curated decision layer over the frontier LLM landscape — models, benchmarks, pricing, agentic platforms, and verdicts. Built for humans and agents.",
    "url": "https://frankx.ai/llm-hub",
    "updated": "2026-06-02",
    "pricing_note": "Pricing is live via OpenRouter where available (field live=true), otherwise from the curated registry. Always verify against the provider before relying on it.",
    "sources": [
      "https://openrouter.ai/models",
      "https://artificialanalysis.ai/leaderboards/models",
      "https://lmarena.ai/",
      "https://arcprize.org/"
    ]
  },
  "capabilities": [
    {
      "id": "reasoning",
      "label": "Reasoning & Analysis",
      "description": "Complex problem-solving, math, abstract reasoning, long-horizon planning"
    },
    {
      "id": "multimodal",
      "label": "Multimodal Understanding",
      "description": "Vision, document, chart, and cross-modal reasoning across text/image/audio"
    },
    {
      "id": "video-gen",
      "label": "Video Generation",
      "description": "Generative video models, text-to-video, image-to-video, editing"
    },
    {
      "id": "coding",
      "label": "Coding & Engineering",
      "description": "Agentic coding, terminal use, debugging, multi-file refactors"
    },
    {
      "id": "agentic-infra",
      "label": "Agentic Infrastructure",
      "description": "Tool use, function calling, agent SDKs, computer use, long-horizon execution"
    },
    {
      "id": "voice",
      "label": "Voice & Audio",
      "description": "Native speech in/out, real-time conversation, audio understanding"
    },
    {
      "id": "image-gen",
      "label": "Image Generation",
      "description": "Text-to-image, editing, in-painting, brand-consistent generation"
    }
  ],
  "providers": [
    {
      "slug": "anthropic",
      "name": "Anthropic",
      "capability_focus": [],
      "models": [
        "claude-opus-4-6",
        "claude-opus-4-5",
        "claude-sonnet-4-5",
        "claude-haiku-4-5"
      ],
      "url": "https://anthropic.com"
    },
    {
      "slug": "openai",
      "name": "OpenAI",
      "capability_focus": [],
      "models": [
        "gpt-5-2-pro"
      ],
      "url": "https://openai.com"
    },
    {
      "slug": "google",
      "name": "Google DeepMind",
      "capability_focus": [],
      "models": [
        "gemini-3-pro"
      ],
      "url": "https://deepmind.google"
    },
    {
      "slug": "xai",
      "name": "xAI",
      "capability_focus": [],
      "models": [
        "grok-4-1"
      ],
      "url": "https://x.ai"
    },
    {
      "slug": "meta",
      "name": "Meta AI",
      "capability_focus": [],
      "models": [
        "llama-4-maverick"
      ],
      "url": "https://ai.meta.com"
    }
  ],
  "models": [
    {
      "id": "claude-opus-4-6",
      "name": "Claude Opus 4.6",
      "provider": "Anthropic",
      "released": "2026-02-05",
      "status": "ga",
      "context_tokens": 1000000,
      "input_per_1m_usd": 5,
      "output_per_1m_usd": 25,
      "pricing_live": true,
      "capabilities": [],
      "tagline": "The reasoning + long-context flagship. THE model for high-stakes synthesis.",
      "best_for": [
        "Abstract reasoning (#1 ARC-AGI-2, 68.8%)",
        "Computer-use agents (#1 OSWorld, 72.7%)",
        "1M-context research synthesis and long agent sessions",
        "Parallel agent orchestration (Agent Teams)"
      ],
      "url": "https://frankx.ai/llm-hub/claude-opus-4-6"
    },
    {
      "id": "claude-opus-4-5",
      "name": "Claude Opus 4.5",
      "provider": "Anthropic",
      "released": "2025-11-01",
      "status": "available",
      "context_tokens": 200000,
      "input_per_1m_usd": 5,
      "output_per_1m_usd": 25,
      "pricing_live": true,
      "capabilities": [],
      "tagline": "Previous Anthropic flagship — still strong at coding, superseded by 4.6.",
      "best_for": [
        "Coding (80.9% SWE-bench Verified)",
        "Workloads not yet migrated to 4.6"
      ],
      "url": "https://frankx.ai/llm-hub/claude-opus-4-5"
    },
    {
      "id": "claude-sonnet-4-5",
      "name": "Claude Sonnet 4.5",
      "provider": "Anthropic",
      "released": "2025-09-29",
      "status": "available",
      "context_tokens": 1000000,
      "input_per_1m_usd": 3,
      "output_per_1m_usd": 15,
      "pricing_live": true,
      "capabilities": [],
      "tagline": "The workhorse — production coding and content at mid-tier cost.",
      "best_for": [
        "Standard coding and integrations",
        "Content generation at scale",
        "Moderate-complexity production tasks"
      ],
      "url": "https://frankx.ai/llm-hub/claude-sonnet-4-5"
    },
    {
      "id": "claude-haiku-4-5",
      "name": "Claude Haiku 4.5",
      "provider": "Anthropic",
      "released": "2025-10-01",
      "status": "available",
      "context_tokens": 200000,
      "input_per_1m_usd": 1,
      "output_per_1m_usd": 5,
      "pricing_live": true,
      "capabilities": [],
      "tagline": "Fast and cheap — classification, routing, high-volume extraction.",
      "best_for": [
        "Routing and classification",
        "Real-time chat",
        "High-volume metadata tagging"
      ],
      "url": "https://frankx.ai/llm-hub/claude-haiku-4-5"
    },
    {
      "id": "gpt-5-2-pro",
      "name": "GPT-5.2 Pro",
      "provider": "OpenAI",
      "released": "2026-01-01",
      "status": "ga",
      "context_tokens": 400000,
      "input_per_1m_usd": 21,
      "output_per_1m_usd": 168,
      "pricing_live": true,
      "capabilities": [],
      "tagline": "Broadest multimodal + native voice — the general-purpose default.",
      "best_for": [
        "Native voice applications",
        "Broad multimodal reasoning",
        "Widest enterprise integration footprint"
      ],
      "url": "https://frankx.ai/llm-hub/gpt-5-2-pro"
    },
    {
      "id": "gemini-3-pro",
      "name": "Gemini 3 Pro",
      "provider": "Google DeepMind",
      "released": "2025-12-01",
      "status": "ga",
      "context_tokens": 2000000,
      "input_per_1m_usd": null,
      "output_per_1m_usd": null,
      "pricing_live": false,
      "capabilities": [],
      "tagline": "Widest modality support with 2M native context.",
      "best_for": [
        "Multimodal understanding (81% MMMU-Pro)",
        "Video + audio + vision reasoning",
        "2M-context tasks"
      ],
      "url": "https://frankx.ai/llm-hub/gemini-3-pro"
    },
    {
      "id": "grok-4-1",
      "name": "Grok 4.1",
      "provider": "xAI",
      "released": "2025-11-01",
      "status": "ga",
      "context_tokens": 2000000,
      "input_per_1m_usd": null,
      "output_per_1m_usd": null,
      "pricing_live": false,
      "capabilities": [],
      "tagline": "Top human-preference Elo with 2M context and aggressive pricing.",
      "best_for": [
        "Long-context reasoning",
        "Real-time / X-grounded tasks",
        "Cost-conscious 2M-context workloads"
      ],
      "url": "https://frankx.ai/llm-hub/grok-4-1"
    },
    {
      "id": "llama-4-maverick",
      "name": "Llama 4 Maverick",
      "provider": "Meta AI",
      "released": "2025-12-01",
      "status": "ga",
      "context_tokens": 1048576,
      "input_per_1m_usd": 0.15,
      "output_per_1m_usd": 0.6,
      "pricing_live": true,
      "capabilities": [],
      "tagline": "Open-weight MoE leadership — 400B total, 17B active, runs on one H100.",
      "best_for": [
        "Self-hosted / sovereign deployments",
        "Fine-tuning ecosystems",
        "Cost-controlled inference at scale"
      ],
      "url": "https://frankx.ai/llm-hub/llama-4-maverick"
    }
  ],
  "decision_matrix": [
    {
      "need": "Lowest cost (closed)",
      "pick": "gemini-3-5-flash",
      "runner_up": "claude-haiku-4-5",
      "why": "Frontier agentic performance at less than half the cost of comparable flagships."
    },
    {
      "need": "Lowest cost (open weights)",
      "pick": "deepseek-v3-2",
      "runner_up": "qwen3-coder-next",
      "why": "Frontier-class reasoning at fraction-of-a-cent economics under MIT license."
    },
    {
      "need": "Hardest reasoning",
      "pick": "claude-opus-4-6",
      "runner_up": "gpt-5-2-pro",
      "why": "#1 ARC-AGI-2 (68.8%) and OSWorld (72.7%)."
    },
    {
      "need": "Agentic coding",
      "pick": "gemini-3-5-flash",
      "runner_up": "claude-opus-4-6",
      "why": "76.2% Terminal-Bench 2.1 and 83.6% MCP Atlas at low cost."
    },
    {
      "need": "Longest context",
      "pick": "grok-4-1",
      "runner_up": "gemini-3-pro",
      "why": "2M-token native context with aggressive pricing."
    },
    {
      "need": "Native voice",
      "pick": "gpt-5-2-pro",
      "runner_up": null,
      "why": "Native audio modality with no close runner-up."
    },
    {
      "need": "Multimodal understanding",
      "pick": "gemini-3-pro",
      "runner_up": "gpt-5-2-pro",
      "why": "Widest modality support; 81% MMMU-Pro."
    },
    {
      "need": "Video generation",
      "pick": "gemini-omni",
      "runner_up": null,
      "why": "Native frontier video gen with natural-language editing."
    },
    {
      "need": "EU data sovereignty",
      "pick": "mistral-large-3",
      "runner_up": "command-a-reasoning",
      "why": "Paris-based, full EU residency; Apache-licensed small-model pairing."
    },
    {
      "need": "Self-host / own the weights",
      "pick": "llama-4-maverick",
      "runner_up": "deepseek-v3-2",
      "why": "Open-weight MoE (400B/17B) that runs on a single H100."
    }
  ],
  "comparisons": [
    {
      "slug": "gemini-3-5-flash-vs-claude-opus-4-6",
      "title": "Gemini 3.5 Flash vs Claude Opus 4.6",
      "verdict": "Different tiers, different jobs. Flash wins cost-sensitive agentic coding (76.2% Terminal-Bench 2.1 at a fraction of the cost); Opus 4.6 wins high-stakes reasoning (68.8% ARC-AGI-2) and computer-use.",
      "models": [
        "gemini-3-5-flash",
        "claude-opus-4-6"
      ],
      "url": "https://frankx.ai/llm-hub/compare/gemini-3-5-flash-vs-claude-opus-4-6"
    },
    {
      "slug": "claude-opus-4-6-vs-gpt-5-2-pro",
      "title": "Claude Opus 4.6 vs GPT-5.2 Pro",
      "verdict": "Opus 4.6 for reasoning and long-context depth; GPT-5.2 Pro for native voice and the broadest multimodal + integration footprint.",
      "models": [
        "claude-opus-4-6",
        "gpt-5-2-pro"
      ],
      "url": "https://frankx.ai/llm-hub/compare/claude-opus-4-6-vs-gpt-5-2-pro"
    },
    {
      "slug": "gemini-3-5-flash-vs-gpt-5-2-pro",
      "title": "Gemini 3.5 Flash vs GPT-5.2 Pro",
      "verdict": "Flash for cost-efficient agentic coding at scale; GPT-5.2 Pro for voice-native and broad multimodal applications.",
      "models": [
        "gemini-3-5-flash",
        "gpt-5-2-pro"
      ],
      "url": "https://frankx.ai/llm-hub/compare/gemini-3-5-flash-vs-gpt-5-2-pro"
    },
    {
      "slug": "deepseek-v3-2-vs-gemini-3-5-flash",
      "title": "DeepSeek V3.2 vs Gemini 3.5 Flash",
      "verdict": "DeepSeek V3.2 wins on raw cost and open-weight control; Gemini 3.5 Flash wins on agentic-coding benchmarks and managed tooling.",
      "models": [
        "deepseek-v3-2",
        "gemini-3-5-flash"
      ],
      "url": "https://frankx.ai/llm-hub/compare/deepseek-v3-2-vs-gemini-3-5-flash"
    },
    {
      "slug": "gemini-omni-vs-sora-2",
      "title": "Gemini Omni vs Sora 2 (video generation)",
      "verdict": "Gemini Omni leads on natural-language editing and agentic integration; Sora 2 may still lead pure cinematic generation. Independent head-to-heads pending.",
      "models": [
        "gemini-omni",
        "gpt-5-2-pro"
      ],
      "url": "https://frankx.ai/llm-hub/compare/gemini-omni-vs-sora-2"
    },
    {
      "slug": "claude-sonnet-4-5-vs-gemini-3-5-flash",
      "title": "Claude Sonnet 4.5 vs Gemini 3.5 Flash",
      "verdict": "Gemini 3.5 Flash edges ahead on agentic-coding benchmarks and cost; Claude Sonnet 4.5 remains a proven, well-integrated production workhorse.",
      "models": [
        "claude-sonnet-4-5",
        "gemini-3-5-flash"
      ],
      "url": "https://frankx.ai/llm-hub/compare/claude-sonnet-4-5-vs-gemini-3-5-flash"
    }
  ]
}