AI models & inference

DDG agent-payable service request

DDG agent-payable service request

x402engine — Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

x402engine — MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi. Built on a Mixture-of-Experts architecture with 309B total parameters and 15B activated per token, it employs a hybrid attention mechanism for...

x402engine — Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for audio-video analysis and summarization,...

x402engine — GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

x402engine — MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding...

x402engine — Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 512K-token context window with up...

Turn a text prompt into a 1024x1024 JPEG in about four seconds. Text-to-image generation pay-per-call, no account and no API key: send a prompt, receive a 1024x1024 JPEG as a base64 data URL in about four seconds (FLUX.1 schnell). Photorealistic scen…

GlianaAI - pay-per-call AI: LLM chat (OpenAI-compatible), image, video, music, speech - 100+ models, no signup, USDC. This resource: seedance-2.5 (Text-to-Video). https://ai.glianalabs.com

Fetch a URL and return a structured LLM brief: summary, key points, entities, topics, sentiment, notable facts — one call instead of fetch + reason.

Together AI model pricing — input/output $/M tokens, context windows — Ed25519 signed attestation

OpenAI model pricing — input/output $/M tokens, context windows — Ed25519 signed attestation

Fireworks AI model pricing — input/output $/M tokens, context windows — Ed25519 signed attestation

Best LLM for reasoning tasks — cheapest reasoning tier model — Ed25519 signed attestation

Best LLM for chat tasks — cheapest efficient/fast tier model — Ed25519 signed attestation

Cheapest LLM per tier (frontier/efficient/fast/reasoning) across all providers — Ed25519 signed attestation

Cerebras model pricing — input/output $/M tokens, context windows — Ed25519 signed attestation

Anthropic Claude model pricing — input/output $/M tokens, context windows — Ed25519 signed attestation

GPU model comparison — cheapest per model across all sources — Ed25519 signed attestation

Cheapest RTX 4090 GPU rental — best hourly rate for cost-efficient AI inference and fine-tuning — Ed25519 signed attestation

Cheapest L40S GPU rental — best hourly rate for inference-optimized NVIDIA GPU across providers — Ed25519 signed attestation

Cheapest H200 GPU rental — best hourly rate across cloud providers for large model inference — Ed25519 signed attestation

Car complaint records: what real owners reported failing on a given year/make/model or VIN — component, narrative summary, crash/fire flags, injuries, and dates, newest first as structured JSON. Filter by component keyword to target a suspected problem area before buying or diagnosing.

Owner-reported problem lookup for US vehicles: every defect report on file for a year/make/model with component, incident date, and a plain-language description of what went wrong. VIN input is auto-identified. Use it to spot pattern failures — transmissions, airbags, brakes — before purchase or repair.

Car safety star ratings from government crash testing: overall, front, side, and rollover ratings (1-5 stars) for any rated year/make/model or VIN, with per-seat breakdowns and rollover probability. Lists sibling variants (body styles, drivetrains) so agents can rate the exact configuration. Structured JSON.

Scrape Creators · Facebook — Ad Transcript

Battle-tested system prompts & few-shot schema directives guiding LLMs (GPT-4o, Claude 3.5, Gemini) to return strict, machine-parsable JSON.

Takes an audio or video file by URL or inline base64 and returns the transcript: the full text, every word with start and end time and its own confidence, the utterances and paragraphs the recogniser separated, and the detected language with its confidence where no language was specified.

Google's most capable model — strong at reasoning, coding, and multimodal tasks