Moonshot AI vs Runway: Token Pricing, Speed & Intelligence
Full comparison of Moonshot AI and Runway — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Moonshot AI
Kimi K3 — 1T MoE open-weight model, strong agentic and coding benchmark scores
Moonshot AI is a Chinese AI startup behind the Kimi model family. Kimi K3 is their latest 1-trillion-parameter MoE model, succeeding K2 with improved coding and agentic benchmark scores. Kimi K2.6 remains available as a stable production option. The Kimi API offers long-context processing up to 128K tokens with competitive pricing, and models are available via OpenRouter for global access.
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.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Moonshot AI
Runway
Key differentiators
Kimi K3 is a 1-trillion-parameter open-weight MoE model with strong coding and agentic benchmark scores — available for self-hosting or via the Moonshot API and OpenRouter.
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
Moonshot AI FAQs
What is Kimi K3?
Kimi K3 is Moonshot AI's latest 1-trillion-parameter mixture-of-experts model, succeeding K2. It activates approximately 32B parameters per token and leads on coding and agentic benchmarks as of September 2026.
What is the difference between Kimi K3 and K2.6?
Kimi K3 is the latest generation with improved benchmark scores. Kimi K2.6 is a stable, battle-tested version suitable for production workloads that prioritise reliability over cutting-edge performance.
Is Kimi K3 open-weight?
Yes. Kimi K3 weights are publicly available on Hugging Face, making it one of the largest open-weight models available. Teams can self-host it on multi-GPU clusters or access it via the Moonshot API.
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
Moonshot AI — Kimi K3 — 1T MoE open-weight model, strong agentic and coding benchmark scores
Moonshot AI is a Chinese AI startup behind the Kimi model family. Kimi K3 is their latest 1-trillion-parameter MoE model, succeeding K2 with improved coding and agentic benchmark scores. Kimi K2.6 remains available as a stable production option. The Kimi API offers long-context processing up to 128K tokens with competitive pricing, and models are available via OpenRouter for global access.
Kimi K3 is a 1-trillion-parameter open-weight MoE model with strong coding and agentic benchmark scores — available for self-hosting or via the Moonshot API and OpenRouter.
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
Moonshot AI
- Kimi K3: 1T MoE open-weight model with strong coding and agentic benchmark scores
- Kimi K2.6 available as stable production option
- Competitive on agentic and tool-use benchmarks
- API primarily targets Chinese market — international latency may vary
- Smaller ecosystem than OpenAI or Anthropic
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
Moonshot AI
- API primarily targets Chinese market — international latency may vary
- Smaller ecosystem than OpenAI or Anthropic
- Fewer third-party integrations available
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
Moonshot AI is a frontier lab, founded in 2023. Runway is a frontier lab, founded in 2018. Both are frontier lab providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both Moonshot AI and Runway are frontier labs with proprietary models. Choose based on benchmark performance for your specific task: Moonshot AI leads on kimi k3: 1t moe open-weight model with strong coding and agentic benchmark scores, while Runway leads on gen-4 produces cinematic-quality video used in professional film and advertising. For cost-sensitive workloads, compare the cheapest model tier from each provider in the pricing table above — the gap between efficient-tier models is often larger than between flagship models.