Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.
Together AI (Video API)
Together AI is an AI infrastructure cloud that recently expanded into video generation, offering API access to models including MiniMax Hailuo, Google Veo 3.0, and OpenAI Sora 2 via OpenAI-compatible endpoints. Pricing uses per-model usage-based billing with transparent rates listed on the model pages. Together AI also hosts open-source models including Wan and Stable Diffusion variants. Existing Together AI customers can access video generation without changing their API integration pattern, making it a convenient choice for teams already using the platform for LLM or image generation workloads.
Solid choice for most workflows
You need to generate videos programmatically as part of a larger AI application (LLM, image generation, or agent workflow) without managing separate vendor relationships or API patterns.
Video generation is asynchronous—you submit a job, poll for completion (typically 30 seconds to several minutes depending on model and length), and retrieve the video URL. Quality varies by model: Sora 2 Pro delivers cinema-grade output at $2.40/video; MiniMax Hailuo is faster and cheaper; Vidu 2.0 offers 8-second generation. Expect per-model pricing transparency on model pages. Watermark-free on premium tiers. Supports text-to-video, image-to-video, keyframe-guided generation, and reference images.
You're building a content creation tool or agent that needs to generate videos with fine-grained control over quality, duration, style, and reproducibility.
Higher steps and guidance_scale improve quality but increase latency and cost. Seed parameter enables reproducible outputs for A/B testing or iterative refinement. Reference images and keyframes work well for product showcases, character-driven content, and before/after transitions. Quality ceiling depends on model choice—Sora 2 Pro handles complex physics and cinematic scenes; MiniMax is faster for simpler prompts.
Asynchronous polling adds latency and complexity
Video generation is not real-time. You must create a job, then poll `client.videos.retrieve(job_id)` in a loop until status is 'completed' or 'failed'. Typical wait is 30 seconds to several minutes. This requires handling polling logic, timeout management, and job state tracking in your application.
Per-model pricing varies significantly; cost surprises possible
Sora 2 Pro costs $2.40/video; MiniMax and Vidu models are cheaper but pricing is listed per-model on Together AI's model pages, not in a single reference table. If you're building a multi-model system or letting users choose models, you must track and communicate per-model costs. Longer videos (up to 16 seconds on Sora 2 Pro) and higher quality settings increase cost.
Together AI offers tighter ecosystem integration for existing customers; Replicate offers broader model variety and stronger community ecosystem.
You're already using Together AI for LLMs or images, want a single vendor, or need Sora 2 Pro / MiniMax Hailuo specifically. Simpler onboarding if you have an existing account.
You need maximum model choice, prefer Replicate's community-driven model library, or want to avoid vendor consolidation. Replicate may have lower switching cost if you're not already invested in Together AI.
Trust Breakdown
What It Actually Does
Together AI's Video API lets you generate short videos from text prompts, images, or keyframes using models like MiniMax Hailuo and Vidu. You send a job via API, poll for completion, and get a downloadable video URL with usage costs.[1][3][4]
Together AI is an AI infrastructure cloud that recently expanded into video generation, offering API access to models including MiniMax Hailuo, Google Veo 3.0, and OpenAI Sora 2 via OpenAI-compatible endpoints. Pricing uses per-model usage-based billing with transparent rates listed on the model pages. Together AI also hosts open-source models including Wan and Stable Diffusion variants.
Existing Together AI customers can access video generation without changing their API integration pattern, making it a convenient choice for teams already using the platform for LLM or image generation workloads.
Fit Assessment
Best for
- ✓video-generation
- ✓image-generation
- ✓multimodal-workflows
Not ideal for
- ✗video-generation-job-failure-status
Known Failure Modes
- video-generation-job-failure-status
Score Breakdown
Protocol Support
Capabilities
Governance
- rate-limiting
- permission-scoping