{
  "schema_version": "1.0",
  "name": "SXF AI Comparison Registry",
  "source_verified": "2026-10-12",
  "strategy": {
    "index_policy": "Only curated high-intent comparisons are indexable. Arbitrary model selections are available in the interactive compare builder without generating thin crawlable URLs.",
    "evidence_policy": "Generated comparison facts must come from data/model-pricing.json and data/model-history.json. No benchmark, speed, quality, or winner claim may be inferred from specifications alone.",
    "pricing_policy": "Direct token-cost comparisons are shown only when both models have calculator-eligible provider-published Standard paid pricing."
  },
  "comparisons": [
    {
      "slug": "gpt-6-astra-vs-claude-fable-5-1",
      "type": "pair",
      "template": "editorial",
      "model_ids": [
        "gpt-6-astra",
        "claude-fable-5-1"
      ],
      "title": "GPT-6 Astra vs Claude Fable 5.1",
      "kicker": "Frontier reasoning",
      "summary": "Compare two top-end models on verified API economics, long-context rules, reasoning controls, coding and agent workflows.",
      "tags": [
        "openai",
        "anthropic",
        "frontier",
        "coding",
        "agents",
        "pricing",
        "long-context"
      ],
      "indexable": true
    },
    {
      "slug": "gpt-6-sol-vs-gemini-3-8-flash",
      "type": "pair",
      "template": "editorial",
      "model_ids": [
        "gpt-6-sol",
        "gemini-3.8-flash"
      ],
      "title": "GPT-6 Sol vs Gemini 3.8 Flash",
      "kicker": "Coding · agents · multimodal",
      "summary": "Compare production-oriented models on token economics, 1M+ context, reasoning controls and multimodal input.",
      "tags": [
        "openai",
        "google",
        "coding",
        "agents",
        "pricing",
        "multimodal",
        "long-context"
      ],
      "indexable": true
    },
    {
      "slug": "claude-opus-5-5-vs-gemini-3-8-flash",
      "type": "pair",
      "template": "editorial",
      "model_ids": [
        "claude-opus-5-5",
        "gemini-3.8-flash"
      ],
      "title": "Claude Opus 5.5 vs Gemini 3.8 Flash",
      "kicker": "Agentic coding · economics",
      "summary": "Compare verified pricing, cache economics, multimodal inputs, reasoning controls and deployment tradeoffs.",
      "tags": [
        "anthropic",
        "google",
        "coding",
        "agents",
        "pricing",
        "multimodal",
        "caching"
      ],
      "indexable": true
    },
    {
      "slug": "gpt-6-sol-vs-claude-opus-5-5",
      "type": "pair",
      "template": "editorial",
      "model_ids": [
        "gpt-6-sol",
        "claude-opus-5-5"
      ],
      "title": "GPT-6 Sol vs Claude Opus 5.5",
      "kicker": "Agentic coding",
      "summary": "Compare two serious coding and agent models on verified Standard pricing, long-context rules and reasoning controls.",
      "tags": [
        "openai",
        "anthropic",
        "coding",
        "agents",
        "pricing",
        "long-context"
      ],
      "indexable": true
    },
    {
      "slug": "gpt-6-astra-vs-sol-vs-luna",
      "type": "family",
      "template": "editorial",
      "model_ids": [
        "gpt-6-astra",
        "gpt-6-sol",
        "gpt-6-luna"
      ],
      "title": "GPT-6 Astra vs Sol vs Luna",
      "kicker": "Within-family routing",
      "summary": "Choose the GPT-6 tier by workload, capability class and unit economics instead of treating GPT-6 as one model.",
      "tags": [
        "openai",
        "family",
        "pricing",
        "routing",
        "coding",
        "agents"
      ],
      "indexable": true
    },
    {
      "slug": "gpt-6-sol-vs-grok-4-7",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gpt-6-sol",
        "grok-4.7"
      ],
      "title": "GPT-6 Sol vs Grok 4.7",
      "kicker": "Coding · agents · cost",
      "summary": "Compare OpenAI and xAI production models on context, reasoning controls, multimodal input and dated Standard API economics.",
      "tags": [
        "openai",
        "xai",
        "coding",
        "agents",
        "pricing",
        "long-context"
      ],
      "indexable": true
    },
    {
      "slug": "gpt-6-astra-vs-grok-4-7",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gpt-6-astra",
        "grok-4.7"
      ],
      "title": "GPT-6 Astra vs Grok 4.7",
      "kicker": "Frontier systems",
      "summary": "Compare top-tier OpenAI and xAI model specifications, long-context pricing rules, modalities and reasoning controls.",
      "tags": [
        "openai",
        "xai",
        "frontier",
        "pricing",
        "reasoning",
        "long-context"
      ],
      "indexable": true
    },
    {
      "slug": "claude-opus-5-5-vs-grok-4-7",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "claude-opus-5-5",
        "grok-4.7"
      ],
      "title": "Claude Opus 5.5 vs Grok 4.7",
      "kicker": "Agentic knowledge work",
      "summary": "Compare Anthropic and xAI on verified context, output policy, reasoning controls, cache economics and Standard token rates.",
      "tags": [
        "anthropic",
        "xai",
        "agents",
        "coding",
        "pricing",
        "reasoning"
      ],
      "indexable": true
    },
    {
      "slug": "gemini-3-8-flash-vs-grok-4-7",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gemini-3.8-flash",
        "grok-4.7"
      ],
      "title": "Gemini 3.8 Flash vs Grok 4.7",
      "kicker": "Multimodal · agents",
      "summary": "Compare Google and xAI on multimodal breadth, context capacity, reasoning controls and current API economics.",
      "tags": [
        "google",
        "xai",
        "multimodal",
        "agents",
        "pricing",
        "reasoning"
      ],
      "indexable": true
    },
    {
      "slug": "grok-4-7-vs-grok-4-6",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "grok-4.7",
        "grok-4.6"
      ],
      "title": "Grok 4.7 vs Grok 4.6",
      "kicker": "xAI upgrade decision",
      "summary": "Compare adjacent Grok generations on verified context, knowledge cutoff, reasoning controls and Standard pricing rules.",
      "tags": [
        "xai",
        "family",
        "upgrade",
        "pricing",
        "reasoning"
      ],
      "indexable": true
    },
    {
      "slug": "gemini-3-8-flash-vs-gemini-3-7-flash",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gemini-3.8-flash",
        "gemini-3.7-flash"
      ],
      "title": "Gemini 3.8 Flash vs Gemini 3.7 Flash",
      "kicker": "Google Flash upgrade",
      "summary": "Compare two Google Flash generations on verified context, output limits, multimodal support and scheduled Standard pricing.",
      "tags": [
        "google",
        "family",
        "upgrade",
        "multimodal",
        "pricing"
      ],
      "indexable": true
    },
    {
      "slug": "llama-4-scout-vs-llama-4-maverick",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "llama-4-scout",
        "llama-4-maverick"
      ],
      "title": "Llama 4 Scout vs Llama 4 Maverick",
      "kicker": "Open-weight architecture",
      "summary": "Compare Meta's Llama 4 models on verified context capacity, modalities and published specification differences without inventing direct API pricing.",
      "tags": [
        "meta",
        "open-source",
        "family",
        "context",
        "multimodal"
      ],
      "indexable": true
    },
    {
      "slug": "llama-4-maverick-vs-gemini-3-8-flash",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "llama-4-maverick",
        "gemini-3.8-flash"
      ],
      "title": "Llama 4 Maverick vs Gemini 3.8 Flash",
      "kicker": "Open weights vs managed API",
      "summary": "Compare Meta's open-weight Maverick with Google's managed Gemini API on context, modalities, output policy and pricing availability.",
      "tags": [
        "meta",
        "google",
        "open-source",
        "multimodal",
        "deployment",
        "pricing"
      ],
      "indexable": true
    },
    {
      "slug": "gpt-6-luna-vs-gemini-3-7-flash",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gpt-6-luna",
        "gemini-3.7-flash"
      ],
      "title": "GPT-6 Luna vs Gemini 3.7 Flash",
      "kicker": "High-volume economics",
      "summary": "Compare lower-cost OpenAI and Google models on Standard token rates, context capacity, output limits and multimodal input.",
      "tags": [
        "openai",
        "google",
        "pricing",
        "high-volume",
        "multimodal"
      ],
      "indexable": true
    },
    {
      "slug": "gpt-5-6-sol-vs-gpt-6-sol",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gpt-5.6-sol",
        "gpt-6-sol"
      ],
      "title": "GPT-5.6 Sol vs GPT-6 Sol",
      "kicker": "OpenAI upgrade path",
      "summary": "Compare successive Sol generations on verified context, knowledge cutoff, reasoning controls and Standard API economics.",
      "tags": [
        "openai",
        "family",
        "upgrade",
        "pricing",
        "reasoning"
      ],
      "indexable": true
    },
    {
      "slug": "gpt-5-6-luna-vs-gpt-6-luna",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gpt-5.6-luna",
        "gpt-6-luna"
      ],
      "title": "GPT-5.6 Luna vs GPT-6 Luna",
      "kicker": "Efficiency upgrade",
      "summary": "Compare successive Luna generations on verified context, reasoning controls and published Standard token pricing.",
      "tags": [
        "openai",
        "family",
        "upgrade",
        "pricing",
        "high-volume"
      ],
      "indexable": true
    },
    {
      "slug": "nano-banana-2-1-vs-nano-banana-pro",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gemini-nano-banana-2.1",
        "gemini-3-pro-image"
      ],
      "title": "Nano Banana 2.1 vs Nano Banana Pro",
      "kicker": "Image generation · 1K–4K",
      "summary": "Compare Google's efficient Nano Banana 2.1 and premium Nano Banana Pro on image pricing, output resolutions, model identifiers, context and creative workflows using primary sources.",
      "tags": [
        "google",
        "nano-banana",
        "image-generation",
        "image-editing",
        "pricing",
        "multimodal"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "1K and 2K image output",
          "detail": "Google estimates Nano Banana 2.1 at $0.0336 per 1K image or $0.0504 per 2K image, versus Nano Banana Pro at $0.134 for a 1K or 2K image. Those output-only estimates exclude input and grounding costs."
        },
        {
          "title": "4K image output",
          "detail": "Google estimates $0.113 per generated 4K image for Nano Banana 2.1 versus $0.24 for Nano Banana Pro. Image tokens and separately billed text/thinking tokens should not be conflated."
        },
        {
          "title": "Choose by creative workflow",
          "detail": "Nano Banana 2.1 targets efficient conversational editing, high throughput and consistent multi-reference subjects. Nano Banana Pro targets advanced graphic design, precision creative control and complex high-fidelity compositions."
        },
        {
          "title": "No invented quality benchmark",
          "detail": "Neither model has an SXF verified side-by-side image quality score here. Test actual brand copy, compositing, edit consistency and typography on your own prompts."
        }
      ]
    },
    {
      "slug": "kling-3-0-vs-seedance-2-0",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "kling-3.0",
        "dreamina-seedance-2-0-260128"
      ],
      "title": "Kling VIDEO 3.0 vs Seedance 2.0",
      "kicker": "Video generation · native audio",
      "summary": "Compare Kling VIDEO 3.0 and ByteDance Seedance 2.0 on native-audio video generation, reference inputs, duration, official access and their incompatible native pricing units.",
      "tags": [
        "kling",
        "bytedance",
        "seedance",
        "video-generation",
        "audio",
        "pricing",
        "cinematic"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Inputs and direction",
          "detail": "Kling 3.0 officially supports text-to-video, image-to-video, reference elements and multi-shot prompts. Seedance 2.0 supports text, images, video clips and audio clips as multimodal references."
        },
        {
          "title": "Clip length and sound",
          "detail": "Both platforms document up to 15-second video generation with native audio capabilities. Duration, aspect ratio, credits and resulting quality depend on mode and deployment."
        },
        {
          "title": "Pricing is not directly interchangeable",
          "detail": "Kling's product guide publishes Credits per generated second (e.g. 6 Credits/s for 720p without audio), while BytePlus publishes Seedance 2.0 USD per million metered service tokens, varying with resolution and video inputs. No universal USD-per-video winner can be calculated."
        },
        {
          "title": "Official API availability",
          "detail": "Kling exposes a developer text-to-video/kling-3.0 endpoint. Seedance 2.0 is available as dreamina-seedance-2-0-260128 on BytePlus ModelArk, subject to deployment and account availability."
        }
      ]
    },
    {
      "slug": "gpt-image-2-5-sunburst-vs-flare",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gpt-image-2.5-sunburst",
        "gpt-image-2.5-flare"
      ],
      "title": "GPT-Image-2.5 Sunburst vs Flare",
      "kicker": "OpenAI image generation",
      "summary": "Compare Sunburst and Flare on supported image workflow, published modality-specific token prices, editing capability and performance claims without assuming equal output token consumption.",
      "tags": [
        "openai",
        "image-generation",
        "image-editing",
        "speed",
        "pricing"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Published Image API token rates",
          "detail": "Both models publish $8 image input, $2 cached image input and $30 image output per million image tokens in Standard pricing. Prompt text charges are separate ($5 input and $1.25 cached per 1M text tokens)."
        },
        {
          "title": "Different positioning",
          "detail": "OpenAI describes Flare as its fastest model for high-quality everyday images. Sunburst targets high-fidelity image generation and precise editing. No independent SXF speed or quality benchmark is claimed."
        },
        {
          "title": "Compare actual image cost",
          "detail": "Equal token rates do not imply identical cost per picture: generated image-token consumption varies with chosen output size, quality and model implementation."
        },
        {
          "title": "Practical choice",
          "detail": "Try Flare for speed-sensitive interactive iteration, and Sunburst for complex high-precision image editing; evaluate samples on the same prompt."
        }
      ]
    },
    {
      "slug": "eleven-v4-vs-eleven-v4-turbo",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "eleven_v4",
        "eleven_v4_turbo"
      ],
      "title": "Eleven v4 vs Eleven v4 Turbo",
      "kicker": "Speech quality vs realtime",
      "summary": "Compare ElevenLabs flagship expressive text-to-speech variants on use cases, supported languages, latency claims, streaming and credit-based billing.",
      "tags": [
        "elevenlabs",
        "tts",
        "voice-agents",
        "latency",
        "multilingual"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Delivery priority",
          "detail": "Eleven v4 targets expressive narration, audiobooks, long-form dialogue and voice cloning. Eleven v4 Turbo targets responsive interactive applications and agents."
        },
        {
          "title": "Provider latency claim",
          "detail": "ElevenLabs quotes about 100 ms median inference latency for v4 Turbo. This is a vendor-published figure, not an independently measured end-to-end latency."
        },
        {
          "title": "Billing clarity",
          "detail": "ElevenLabs describes a character/credit-based TTS service with subscription-specific pricing. No universal verified USD/1K-character API figure is asserted for these new variants."
        },
        {
          "title": "Language coverage",
          "detail": "The Eleven v4 family supports 90+ languages including Arabic. Check voice availability, tags and agent integration for your exact task."
        }
      ]
    },
    {
      "slug": "gemini-omni-flash-vs-kling-3-0",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gemini-omni-1.1-flash",
        "kling-3.0"
      ],
      "title": "Gemini Omni Flash vs Kling VIDEO 3.0",
      "kicker": "Video generation and editing",
      "summary": "Compare Google conversational video editing and Kling narrative video generation on input modes, video duration and incompatible per-token versus credit pricing.",
      "tags": [
        "google",
        "kling",
        "video-generation",
        "editing",
        "credits"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Conversational editing",
          "detail": "Gemini Omni 1.1 Flash supports iterative video editing and extensions via Google Interactions API; Kling VIDEO 3.0 emphasizes creative text/image-to-video, multi-shot sequencing and optional audio."
        },
        {
          "title": "Published duration",
          "detail": "Gemini Omni Flash supports 3–10 seconds of video output, while Kling 3.0 product documentation references 3–15 seconds for supported modes. Actual constraints depend on configuration."
        },
        {
          "title": "Do not compare unlike rates",
          "detail": "Gemini Omni quotes $17.50 per 1M video output tokens (about $0.10/sec at 720p) and separate input costs; Kling publishes consumer-plan Credits/second but not a verified equivalent USD API rate."
        },
        {
          "title": "Best evaluation",
          "detail": "Compare storyboard consistency, editability, motion, sound and total clip cost on identical workflow settings."
        }
      ]
    },
    {
      "slug": "flux-2-max-vs-nano-banana-pro",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "flux-2-max",
        "gemini-3-pro-image"
      ],
      "title": "FLUX.2 Max vs Nano Banana Pro",
      "kicker": "Premium image creation",
      "summary": "Compare premium image generation and image editing for brand consistency, output pricing units, text rendering and production workflows.",
      "tags": [
        "black-forest-labs",
        "google",
        "image-generation",
        "image-editing",
        "pricing"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Different cost units",
          "detail": "FLUX.2 Max starts at $0.07 for the first output MP, adds $0.03 per additional MP and $0.03 per reference-input MP. Nano Banana Pro lists $0.134 per 1K/2K image and $0.24 per 4K image (output-only estimates)."
        },
        {
          "title": "Workflow fit",
          "detail": "FLUX.2 Max focuses on product visualization, reference consistency, layout and grounded visual generation. Nano Banana Pro focuses on precise typography, product mockups and complex image edits."
        },
        {
          "title": "Hidden input charges",
          "detail": "Image references and output resolutions affect FLUX charges; Nano Banana input text, image tokens and grounding can add charges. A universal per-image winner is not supported."
        },
        {
          "title": "No invented quality score",
          "detail": "These are official product capabilities, not an SXF image benchmark. Reproduce tasks with the same style, resolution and source assets to decide."
        }
      ]
    },
    {
      "slug": "gpt-image-2-vs-gpt-image-2-5-flare",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gpt-image-2",
        "gpt-image-2.5-flare"
      ],
      "title": "GPT-Image-2 vs GPT-Image-2.5 Flare",
      "kicker": "Image generation · budget vs premium",
      "summary": "Compare GPT-Image-2 vs GPT-Image-2.5 Flare using official sources, cost units, supported workflows and provider access, with no fabricated benchmark winner.",
      "tags": [
        "pricing",
        "specialist",
        "compare",
        "gpt",
        "gpt"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Official IMAGE-token pricing",
          "detail": "GPT-Image-2 Standard image tokens are $4 input, $1 cached and $15 output per million. Flare costs $8 input, $2 cached and $30 output. Both separately charge prompt TEXT tokens; equal images may consume different tokens."
        },
        {
          "title": "Choose by production needs",
          "detail": "GPT-Image-2 emphasizes accessible image generation and editing. Flare emphasizes fast high-quality image output within the 2.5 line."
        },
        {
          "title": "Measure effective per-image cost",
          "detail": "Image resolution, number of references, input text and quality settings change the final bill; multiplying token rates alone is insufficient."
        }
      ]
    },
    {
      "slug": "ideogram-4-vs-ideogram-3",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "ideogram-v4",
        "ideogram-v3"
      ],
      "title": "Ideogram 4.0 vs Ideogram 3.0",
      "kicker": "Generational image design",
      "summary": "Compare Ideogram 4.0 vs Ideogram 3.0 using official sources, cost units, supported workflows and provider access, with no fabricated benchmark winner.",
      "tags": [
        "pricing",
        "specialist",
        "compare",
        "ideogram",
        "ideogram"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Official TURBO prices",
          "detail": "Both providers list $0.03 for a single TURBO output image. Ideogram 4.0 DEFAULT is $0.06 and QUALITY $0.10; Ideogram 3.0 DEFAULT is $0.06 and QUALITY $0.09."
        },
        {
          "title": "Creative controls",
          "detail": "Ideogram 4.0 supports structured prompting and newer layouts for text-centric design; Ideogram 3.0 has a stable established Remix, Edit and Reframe API contract."
        },
        {
          "title": "No synthetic quality winner",
          "detail": "Run identical logo, poster, typography and editing prompts across matched speed and size settings before deciding."
        }
      ]
    },
    {
      "slug": "runway-gen-4-5-vs-kling-3-0",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gen4.5",
        "kling-3.0"
      ],
      "title": "Runway Gen-4.5 vs Kling VIDEO 3.0",
      "kicker": "Professional AI video creation",
      "summary": "Compare Runway Gen-4.5 vs Kling VIDEO 3.0 using official sources, cost units, supported workflows and provider access, with no fabricated benchmark winner.",
      "tags": [
        "pricing",
        "specialist",
        "compare",
        "gen4.5",
        "kling"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Comparable output duration",
          "detail": "Runway Gen-4.5 is documented for 2–10-second text/image-to-video clips and its API uses 12 developer credits/second. Kling 3.0 creator docs describe 3–15-second clips and varying credits by mode."
        },
        {
          "title": "Native billing",
          "detail": "Runway API sells credits at $0.01, resulting in $0.12/second for standard Gen-4.5 video, excluding HDR surcharges. Kling credits are consumer-plan references and must not be falsely converted into a universal USD API figure."
        },
        {
          "title": "Production tradeoffs",
          "detail": "Test camera movement, temporal consistency, prompt adherence, audio modes and output resolution on your real storyboard."
        }
      ]
    },
    {
      "slug": "deepgram-nova-3-vs-elevenlabs-scribe-v2",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "nova-3",
        "scribe_v2"
      ],
      "title": "Deepgram Nova-3 vs ElevenLabs Scribe v2",
      "kicker": "Multilingual audio transcription",
      "summary": "Compare Deepgram Nova-3 and ElevenLabs Scribe v2 for speech-to-text: audio-hour prices, batch vs streaming, languages, keyterms and diarization with original SXF evaluation tools.",
      "tags": [
        "pricing",
        "specialist",
        "compare",
        "nova",
        "scribe_v2"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Audio-time pricing",
          "detail": "Deepgram Nova-3 lists pre-recorded MONOLINGUAL $0.0043/min ($0.258/hour). ElevenLabs Scribe v2 lists $0.22/hour. Different add-on policies and multilingual modes affect effective cost."
        },
        {
          "title": "Language and diarization",
          "detail": "Compare language support, accuracy on calls and accents, word-level timing, speaker diarization and keyterm prompting for each workflow."
        },
        {
          "title": "Different modes",
          "detail": "Nova-3 supports prerecorded and streaming with separate rate cards; Scribe v2 is focused on file/batch STT, and ElevenLabs has Scribe Realtime for streaming."
        }
      ]
    },
    {
      "slug": "deepgram-flux-vs-scribe-realtime-v2",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "flux-general-en",
        "scribe_v2_realtime"
      ],
      "title": "Deepgram Flux vs Scribe v2 Realtime",
      "kicker": "Voice-agent streaming transcription",
      "summary": "Compare Deepgram Flux vs Scribe v2 Realtime using official sources, cost units, supported workflows and provider access, with no fabricated benchmark winner.",
      "tags": [
        "pricing",
        "specialist",
        "compare",
        "flux",
        "scribe_v2_realtime"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Published native prices",
          "detail": "Deepgram Flux English uses a time-limited $0.0065/min streaming rate; Scribe v2 Realtime lists $0.39/hour (also $0.0065/min). Provider promotions and voice-activity policies may change real costs."
        },
        {
          "title": "Turn detection",
          "detail": "Flux offers speech recognition plus integrated end-of-turn detection. Scribe Realtime offers partial/final transcripts and VAD-assisted commits via WebSocket."
        },
        {
          "title": "Latency decisions",
          "detail": "Compare end-of-turn latency, interruption accuracy, reliability and accented/multilingual speech using your own agent sessions."
        }
      ]
    },
    {
      "slug": "flux-2-pro-vs-flux-2-klein-9b",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "flux-2-pro",
        "flux-2-klein-9b"
      ],
      "title": "FLUX.2 Pro vs Klein 9B",
      "kicker": "Quality, speed and image economics",
      "summary": "Compare FLUX.2 Pro vs Klein 9B using official sources, cost units, supported workflows and provider access, with no fabricated benchmark winner.",
      "tags": [
        "pricing",
        "specialist",
        "compare",
        "flux",
        "flux"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "BFL first-MP prices",
          "detail": "FLUX.2 Pro starts at $0.03 per first output MP; Klein 9B at $0.015. Additional output and reference-image megapixels have separate model-specific rates."
        },
        {
          "title": "Hosting options",
          "detail": "FLUX.2 Klein 9B is available as licensed open weights and an API. FLUX.2 Pro is offered as a hosted BFL API model."
        },
        {
          "title": "Workload-specific choice",
          "detail": "Evaluate design fidelity, speed and edit consistency at identical resolutions. Prices here refer to first output MP, not fixed costs for all image sizes."
        }
      ]
    },
    {
      "slug": "claude-haiku-5-5-vs-claude-sonnet-5-5",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "claude-haiku-5-5",
        "claude-sonnet-5-5"
      ],
      "title": "Claude Haiku 5.5 vs Claude Sonnet 5.5",
      "kicker": "Verified provider capabilities and billing",
      "summary": "Compare these independently addressable official model endpoints on their native pricing units, documented capabilities, lifecycle and workflow fit.",
      "tags": [
        "pricing",
        "models",
        "comparison"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Native pricing",
          "detail": "Use each model's official Standard pricing basis, prompt-tier thresholds, modality and generation resolution; do not compare mixed units as equal."
        },
        {
          "title": "Workflow decision",
          "detail": "Test representative user tasks, media inputs, latency needs and output quality. No fabricated benchmark score or winner is claimed."
        }
      ]
    },
    {
      "slug": "gemini-3-1-pro-preview-vs-gemini-3-8-flash",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gemini-3.1-pro-preview",
        "gemini-3.8-flash"
      ],
      "title": "Gemini 3.1 Pro Preview vs Gemini 3.8 Flash",
      "kicker": "Verified provider capabilities and billing",
      "summary": "Compare these independently addressable official model endpoints on their native pricing units, documented capabilities, lifecycle and workflow fit.",
      "tags": [
        "pricing",
        "models",
        "comparison"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Native pricing",
          "detail": "Use each model's official Standard pricing basis, prompt-tier thresholds, modality and generation resolution; do not compare mixed units as equal."
        },
        {
          "title": "Workflow decision",
          "detail": "Test representative user tasks, media inputs, latency needs and output quality. No fabricated benchmark score or winner is claimed."
        }
      ]
    },
    {
      "slug": "nano-banana-2-vs-nano-banana-2-1",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gemini-3.1-flash-image",
        "gemini-nano-banana-2.1"
      ],
      "title": "Nano Banana 2 vs Nano Banana 2.1",
      "kicker": "Verified provider capabilities and billing",
      "summary": "Compare these independently addressable official model endpoints on their native pricing units, documented capabilities, lifecycle and workflow fit.",
      "tags": [
        "pricing",
        "models",
        "comparison"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Native pricing",
          "detail": "Use each model's official Standard pricing basis, prompt-tier thresholds, modality and generation resolution; do not compare mixed units as equal."
        },
        {
          "title": "Workflow decision",
          "detail": "Test representative user tasks, media inputs, latency needs and output quality. No fabricated benchmark score or winner is claimed."
        }
      ]
    },
    {
      "slug": "gemini-3-8-live-extended-thinking-vs-gemini-3-8-live",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "gemini-3.8-live-extended-thinking",
        "gemini-3.8-live"
      ],
      "title": "Gemini 3.8 Live Extended Thinking vs Live",
      "kicker": "Verified provider capabilities and billing",
      "summary": "Compare these independently addressable official model endpoints on their native pricing units, documented capabilities, lifecycle and workflow fit.",
      "tags": [
        "pricing",
        "models",
        "comparison"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Native pricing",
          "detail": "Use each model's official Standard pricing basis, prompt-tier thresholds, modality and generation resolution; do not compare mixed units as equal."
        },
        {
          "title": "Workflow decision",
          "detail": "Test representative user tasks, media inputs, latency needs and output quality. No fabricated benchmark score or winner is claimed."
        }
      ]
    },
    {
      "slug": "stable-image-ultra-vs-flux-2-pro",
      "type": "pair",
      "template": "generic",
      "model_ids": [
        "stable-image-ultra",
        "flux-2-pro"
      ],
      "title": "Stable Image Ultra vs FLUX.2 Pro",
      "kicker": "Verified provider capabilities and billing",
      "summary": "Compare these independently addressable official model endpoints on their native pricing units, documented capabilities, lifecycle and workflow fit.",
      "tags": [
        "pricing",
        "models",
        "comparison"
      ],
      "indexable": true,
      "specialist_factors": [
        {
          "title": "Native pricing",
          "detail": "Use each model's official Standard pricing basis, prompt-tier thresholds, modality and generation resolution; do not compare mixed units as equal."
        },
        {
          "title": "Workflow decision",
          "detail": "Test representative user tasks, media inputs, latency needs and output quality. No fabricated benchmark score or winner is claimed."
        }
      ]
    }
  ]
}