OctoAI vs Runway: Token Pricing, Speed & Intelligence
Full comparison of OctoAI and Runway — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
OctoAI
Acquired by NVIDIA — OctoAI inference is now available via NVIDIA NIM
OctoAI was acquired by NVIDIA in 2024 and its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing OctoAI customers have been migrated to NVIDIA NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure with TensorRT-LLM acceleration. New users should use NVIDIA NIM directly for access to Llama 4, Mistral, Qwen3, and other open-weight models.
Runway
Gen-4 video generation API — cinematic quality text-to-video and image-to-video
Runway is a creative AI company best known for its Gen series of video generation models. Gen-4 and Gen-4 Turbo are available via API, producing cinematic-quality video from text or image prompts. Runway is widely used in professional film and advertising production. Pricing is per second of generated video.
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Live token pricing
Strengths and weaknesses
OctoAI
Runway
Key differentiators
OctoAI's inference technology lives on inside NVIDIA NIM — the same hardware-aware optimisation, now with TensorRT-LLM acceleration and NVIDIA's global GPU infrastructure behind it.
Gen-4 is Runway's cinematic-quality video generation model, trusted by professional film and advertising studios — with Gen-4 Turbo offering a faster, lower-cost alternative via the same API.
Frequently asked questions
OctoAI FAQs
What happened to OctoAI?
OctoAI was acquired by NVIDIA in 2024. Its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing customers were migrated to NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure.
Can I still use the OctoAI API?
The original OctoAI API endpoints have been deprecated. Existing OctoAI customers should migrate to NVIDIA NIM, which provides equivalent functionality with TensorRT-LLM optimisation and access to the full NVIDIA model catalog.
What is NVIDIA NIM?
NVIDIA NIM (Inference Microservices) are containerized AI inference packages optimized for NVIDIA GPUs using TensorRT-LLM. They can be accessed via the NVIDIA API catalog at build.nvidia.com or self-hosted on any NVIDIA GPU infrastructure.
Runway FAQs
How is Runway priced?
Runway charges per second of generated video. Gen-4 is $0.100/second and Gen-4 Turbo is $0.050/second. See runwayml.com/pricing for current rates.
What is Gen-4?
Gen-4 is Runway's latest video generation model, producing cinematic-quality output from text or image prompts. It is used in professional film, advertising, and visual effects production.
What is the difference between Gen-4 and Gen-4 Turbo?
Gen-4 produces higher-quality output at $0.100/second. Gen-4 Turbo is faster and cheaper at $0.050/second, with slightly lower quality. Both support text-to-video and image-to-video generation.
Provider resources
OctoAI — Acquired by NVIDIA — OctoAI inference is now available via NVIDIA NIM
OctoAI was acquired by NVIDIA in 2024 and its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing OctoAI customers have been migrated to NVIDIA NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure with TensorRT-LLM acceleration. New users should use NVIDIA NIM directly for access to Llama 4, Mistral, Qwen3, and other open-weight models.
OctoAI's inference technology lives on inside NVIDIA NIM — the same hardware-aware optimisation, now with TensorRT-LLM acceleration and NVIDIA's global GPU infrastructure behind it.
Runway — Gen-4 video generation API — cinematic quality text-to-video and image-to-video
Runway is a creative AI company best known for its Gen series of video generation models. Gen-4 and Gen-4 Turbo are available via API, producing cinematic-quality video from text or image prompts. Runway is widely used in professional film and advertising production. Pricing is per second of generated video.
Gen-4 is Runway's cinematic-quality video generation model, trusted by professional film and advertising studios — with Gen-4 Turbo offering a faster, lower-cost alternative via the same API.
Key strengths compared
OctoAI
- Now backed by NVIDIA's full GPU infrastructure and TensorRT-LLM stack
- Seamless migration path for existing OctoAI customers to NVIDIA NIM
- Access to NVIDIA's full open-weight model catalog via NIM
- OctoAI as a standalone product no longer exists — new users should use NVIDIA NIM directly
- Migration required for any OctoAI-specific API integrations
Runway
- Gen-4 produces cinematic-quality video used in professional film and advertising
- Gen-4 Turbo at $0.050/second offers faster generation at lower cost
- Strong motion quality and temporal consistency
- Video generation only — no text, image, or audio LLM models
- Gen-4 at $0.100/second is among the higher-priced video generation APIs
Key weaknesses compared
OctoAI
- OctoAI as a standalone product no longer exists — new users should use NVIDIA NIM directly
- Migration required for any OctoAI-specific API integrations
- Self-hosted path requires NVIDIA GPU infrastructure investment
Runway
- Video generation only — no text, image, or audio LLM models
- Gen-4 at $0.100/second is among the higher-priced video generation APIs
- Generation latency is higher than text inference
Provider category context
OctoAI is a inference api, founded in 2022. Runway is a frontier lab, founded in 2018. OctoAI as an inference API provider hosts open-weight models — typically offering lower prices for equivalent capability tiers. Runway as a frontier lab trains and serves proprietary models with capabilities not available elsewhere.
How to choose between them
Choose OctoAI if you need now backed by nvidia's full gpu infrastructure and tensorrt-llm stack. Choose Runway if you need Professional video production. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.