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Updates

MiniMax H3 (Hailuo 03). minimax-h3 is an omni-modal video model with native stereo audio always on — no audio flag. Resolutions 768p and 2K; durations any integer "4"–"15"; ratios 21:9, 16:9, 4:3, 1:1, 3:4, 9:16. Input modes: text (ratio required) or first-frame image (input_image_url — the output matches the image, so omit ratio). From 35 credits (768p, 4s).MiniMax H3 Video-to-Video. minimax-h3-v2v runs the same model in mode=edit against a reference input_video_url (MP4/MOV, H.264/H.265, ≤ 50 MB, 2–15s per clip, ≤ 15s total), with adaptive as the default ratio. Billing is per second of input + output — 8 credits/s at 768p, 13 credits/s at 2K, rounded up to the nearest 10; /v1/pricing lists the 15s-reference ceiling and shorter references are charged on their measured duration.
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Updates

Seedance 2.5 — 30 seconds in a single pass. seedance-2.5 (ByteDance) generates up to 30 continuous seconds in one generation, no stitching. Durations "4", "5", "8", "10", "15", "20", "30"; ratios 1:1, 4:3, 3:4, 16:9, 9:16, 21:9, adaptive; audio_enabled is a free toggle. Input modes: text, first frame, first + last frame, or up to 4 reference images. From 50 credits (480p, 4s).Seedance 2.5 V2V. seedance-2.5-v2v runs the same model in mode=edit against a source input_video_url, with the same ratios, resolutions and durations. Credits are higher than the generate model because reference-driven generation is billed on the reference video’s length as well as the output’s, and the reference may be up to 30 seconds.
Both Seedance 2.5 ids cap at 720p — this endpoint exposes 480p and 720p only. There is no 1080p or 4K option (native 4K belongs to Seedance 2.0 coverage, not 2.5).
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Updates

Five new image models. The image catalog has grown from 10 to 15 models: nano-banana-2-lite (budget Nano Banana, 3 credits, fixed 1K), seedream-5-lite (cost-efficient 2K/4K, from 3 credits), gpt-image-2 (OpenAI next-gen, 1K/2K/4K), gpt-image-1-5 (OpenAI flagship, medium/high), and z-image (photoreal drafts for 1 credit).Four new video models. grok-imagine-1.5 (xAI image-to-video, from 7 credits), happyhorse-1.1 (Alibaba text/image/reference-to-video with 4:5 and 21:9 support), kling-3.0-turbo (faster Kling 3.0), and gemini-omni (Google multimodal, up to 4K).Per-model aspect ratios. POST /v1/image-generations now accepts every ratio a model advertises in GET /v1/models/{model_id} — including 4:5, 5:4, 2:3, 3:2, and banner strips like 8:1 — instead of a fixed six-value list.

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Bug fixes

  • ratio: "4:5" (and other model-supported ratios) no longer return 400 invalid_request; ratio errors now list the accepted values for that model.
  • Omitting quality no longer fails for models without a default price tier — the model’s default quality is applied automatically.
  • Image-to-video models (wan-2.6, hailuo-2.3, grok-imagine-1.5) and edit/motion models now fail fast with 400 invalid_request when the required input_image_url / input_video_url is missing, instead of reserving credits and failing in the worker.
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Updates

More LLMs available through a single endpoint. The catalog has grown from 7 to 12 models. Call any of them through POST /v1/llm/chat — switching models is still a one-line change.Simpler multimodal flow. Vision, audio, and video inputs now go through the standard chat endpoint using attachments. Responses come back synchronously, so there’s no job to poll. See LLM Multimodal for examples.

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Bug fixes

  • Corrected the model count in the LLM Chat overview (now reflects all 12 models).