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Meta vs Runway: Token Pricing, Speed & Intelligence

Full comparison of Meta and Runway — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Meta

Muse brand — Muse Spark 1.3, Muse Glimmer, Muse Image, Muse Voice via Meta Model API

Meta AI is the creator of the Llama model family and the Muse proprietary product line. As of September 2026, Meta's managed API (Meta Model API) offers Muse Spark 1.3 (flagship multimodal), Muse Glimmer (efficient tier), Muse Image (image generation), and Muse Voice (speech synthesis). Llama 4 Scout, Maverick, and Behemoth remain open-weight and available through dozens of third-party providers. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.

Self-hosted inferenceCost-optimised at scaleEdge/on-deviceChatVisionImage generationVoice AI
Proprietary modelsHosts open weights

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.

Video generationFilm productionAdvertisingCreative contentVisual effects
Proprietary models

Key metric comparison

Cheapest input ($/1M)

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Cheapest output ($/1M)

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Peak throughput

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Best latency (TTFT)

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Intelligence score

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Context window

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Live token pricing

Strengths and weaknesses

Meta

Open-weight Llama 4 models — self-host on any GPU cloud for lowest per-token cost at scale
Muse Spark 1.3: flagship multimodal model with 1M context window
Muse Image and Muse Voice for image generation and speech synthesis
Widest third-party hosting ecosystem — available on AWS, Azure, GCP, Together AI, Groq, and 20+ others
Llama 3.2 1B/3B models run on-device (mobile, edge)
No vendor lock-in on Llama — switch inference providers without changing model weights
Self-hosting requires GPU infrastructure expertise
Meta Model API has limited availability vs third-party hosts
Muse Spark 1.3 pricing not yet publicly listed at launch
Smaller proprietary model lineup vs OpenAI/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
Established track record in professional creative production
Supports text-to-video, image-to-video, and video-to-video
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

Key differentiators

Meta

The only frontier-class model family available as open weights — plus the Muse product line (Spark, Glimmer, Image, Voice) for teams that want managed API access without self-hosting.

Runway

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

Meta FAQs

What is the Muse brand from Meta?

Muse is Meta's proprietary managed API product line, launched in 2026. It includes Muse Spark 1.3 (flagship multimodal, 1M context), Muse Glimmer (efficient tier), Muse Image (image generation), and Muse Voice (speech synthesis) — all available via the Meta Model API.

What is the Llama 4 context window?

Llama 4 Scout and Maverick support 1,000,000-token (1M) context windows. Llama 4 Behemoth also targets 1M context. This makes Llama 4 competitive with Gemini 3.x for long-document and multi-document tasks.

Can I self-host Llama models?

Yes — all Llama 3.x and Llama 4 Scout/Maverick weights are publicly available under the Llama Community License. You can run them on any GPU cloud provider. Self-hosting becomes cost-effective at high token volumes — check the live GPU table for current H100 rates.

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

Meta — Muse brand — Muse Spark 1.3, Muse Glimmer, Muse Image, Muse Voice via Meta Model API

Meta AI is the creator of the Llama model family and the Muse proprietary product line. As of September 2026, Meta's managed API (Meta Model API) offers Muse Spark 1.3 (flagship multimodal), Muse Glimmer (efficient tier), Muse Image (image generation), and Muse Voice (speech synthesis). Llama 4 Scout, Maverick, and Behemoth remain open-weight and available through dozens of third-party providers. Because Llama weights are open, teams can self-host on GPU cloud for dramatically lower per-token costs at scale.

The only frontier-class model family available as open weights — plus the Muse product line (Spark, Glimmer, Image, Voice) for teams that want managed API access without self-hosting.

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

Meta

  • Open-weight Llama 4 models — self-host on any GPU cloud for lowest per-token cost at scale
  • Muse Spark 1.3: flagship multimodal model with 1M context window
  • Muse Image and Muse Voice for image generation and speech synthesis
  • Self-hosting requires GPU infrastructure expertise
  • Meta Model API has limited availability vs third-party hosts

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

Meta

  • Self-hosting requires GPU infrastructure expertise
  • Meta Model API has limited availability vs third-party hosts
  • Muse Spark 1.3 pricing not yet publicly listed at launch
  • Smaller proprietary model lineup vs OpenAI/Anthropic

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

Meta is a open source host, founded in 2023. Runway is a frontier lab, founded in 2018. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.

How to choose between them

Choose Meta if you need open-weight llama 4 models — self-host on any gpu cloud for lowest per-token cost at scale. 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.