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fal.ai vs SambaNova Cloud: Token Pricing, Speed & Intelligence

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

fal.ai

Sub-second image generation — FLUX 1.1 Pro Ultra, video, audio, and B200/H200 GPU compute

fal.ai is a serverless inference platform specialising in image, video, and audio generation models. Known for sub-second cold starts and competitive pricing on FLUX 1.1 Pro Ultra, Kling v2.1, and Stable Diffusion. The 2026 platform has expanded to include B200 GPU compute alongside H200, and added real-time video generation with streaming output. A leading choice for production AI creative tools.

Image generationVideo generationAudio modelsReal-time AI appsCreative toolsGPU compute
Open-weight hostHosts open weights

SambaNova Cloud

High-throughput inference on SambaNova RDU chips — gpt-oss-120b, GLM-5.3, Llama

SambaNova Cloud runs inference on SambaNova's proprietary Reconfigurable Dataflow Unit (RDU) chips, delivering very high throughput (800+ tokens/sec on gpt-oss-120b). The catalog covers gpt-oss-120b, GLM-5.3, MiniMax-M3, DeepSeek-V3.2, Meta-Llama-3.3-70B, and Gemma 4 31B. Pricing is PAYG with prompt caching on select models.

High-throughput inferenceCost-sensitive workloadsOpen-weight models
Open-weight hostHosts open weights

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

fal.ai

Sub-second cold starts for FLUX and Stable Diffusion — very fast image generation
FLUX 1.1 Pro Ultra and Kling v2.1 in the 2026 catalog
B200 and H200 GPU compute for custom deployments
Real-time video generation with streaming output
Serverless — no infrastructure management
Competitive pricing on FLUX models vs Replicate
Primarily focused on image/video/audio — less suited for text LLMs
Smaller text model catalog than dedicated LLM providers
Less enterprise support than larger platforms

SambaNova Cloud

Proprietary RDU chips deliver very high throughput — 800+ tokens/sec on gpt-oss-120b
Competitive pricing on gpt-oss-120b ($0.22/$0.59 per 1M)
Prompt caching on GLM-5.3 (cached input at $0.14/1M)
Strong open-weight model catalog: Llama, DeepSeek, Gemma, MiniMax
Smaller model catalog vs OpenRouter or Together AI
No proprietary frontier models — inference-only platform
RDU architecture may behave differently from GPU inference for some workloads

Key differentiators

fal.ai

The fastest serverless platform for image and video generation — sub-second cold starts on FLUX 1.1 Pro Ultra and Kling v2.1, with B200/H200 GPU compute for custom workloads.

SambaNova Cloud

Proprietary RDU chips deliver industry-leading throughput on open-weight models at competitive per-token rates.

Frequently asked questions

fal.ai FAQs

What models does fal.ai support in 2026?

fal.ai hosts FLUX 1.1 Pro Ultra, FLUX.1 Dev/Schnell, Kling v2.1 (video), Stable Diffusion XL, Whisper, and many other image, video, and audio models. It also supports text models via its serverless GPU platform.

How fast is fal.ai for image generation?

fal.ai delivers sub-second cold starts for popular models like FLUX — typically under 500ms for FLUX.1 Schnell. This makes it a strong option for real-time image generation in production applications.

Does fal.ai offer GPU compute?

Yes. fal.ai offers B200 and H200 GPU compute for custom model deployments alongside its managed inference API, suitable for teams that need both managed inference and raw GPU access.

SambaNova Cloud FAQs

What makes SambaNova Cloud different?

SambaNova runs inference on its own Reconfigurable Dataflow Unit (RDU) chips rather than NVIDIA GPUs. This delivers very high throughput — over 800 tokens/sec on gpt-oss-120b — at competitive per-token rates.

What models does SambaNova Cloud offer?

As of October 2026: gpt-oss-120b ($0.22/$0.59), GLM-5.3 ($1.40/$4.40, cached $0.14), MiniMax-M3 ($0.60/$2.40, cached $0.06), DeepSeek-V3.2 ($3.00/$4.50), Meta-Llama-3.3-70B ($0.60/$1.20), and Gemma 4 31B ($0.38/$1.15). See cloud.sambanova.ai/plans/pricing for current rates.

Does SambaNova offer prompt caching?

Yes, on GLM-5.3 (cached input $0.14/1M vs $1.40/1M standard) and MiniMax-M3 (cached input $0.06/1M vs $0.60/1M standard).

Provider resources

fal.ai — Sub-second image generation — FLUX 1.1 Pro Ultra, video, audio, and B200/H200 GPU compute

fal.ai is a serverless inference platform specialising in image, video, and audio generation models. Known for sub-second cold starts and competitive pricing on FLUX 1.1 Pro Ultra, Kling v2.1, and Stable Diffusion. The 2026 platform has expanded to include B200 GPU compute alongside H200, and added real-time video generation with streaming output. A leading choice for production AI creative tools.

The fastest serverless platform for image and video generation — sub-second cold starts on FLUX 1.1 Pro Ultra and Kling v2.1, with B200/H200 GPU compute for custom workloads.

SambaNova Cloud — High-throughput inference on SambaNova RDU chips — gpt-oss-120b, GLM-5.3, Llama

SambaNova Cloud runs inference on SambaNova's proprietary Reconfigurable Dataflow Unit (RDU) chips, delivering very high throughput (800+ tokens/sec on gpt-oss-120b). The catalog covers gpt-oss-120b, GLM-5.3, MiniMax-M3, DeepSeek-V3.2, Meta-Llama-3.3-70B, and Gemma 4 31B. Pricing is PAYG with prompt caching on select models.

Proprietary RDU chips deliver industry-leading throughput on open-weight models at competitive per-token rates.

Key strengths compared

fal.ai

  • Sub-second cold starts for FLUX and Stable Diffusion — very fast image generation
  • FLUX 1.1 Pro Ultra and Kling v2.1 in the 2026 catalog
  • B200 and H200 GPU compute for custom deployments
  • Primarily focused on image/video/audio — less suited for text LLMs
  • Smaller text model catalog than dedicated LLM providers

SambaNova Cloud

  • Proprietary RDU chips deliver very high throughput — 800+ tokens/sec on gpt-oss-120b
  • Competitive pricing on gpt-oss-120b ($0.22/$0.59 per 1M)
  • Prompt caching on GLM-5.3 (cached input at $0.14/1M)
  • Smaller model catalog vs OpenRouter or Together AI
  • No proprietary frontier models — inference-only platform

Key weaknesses compared

fal.ai

  • Primarily focused on image/video/audio — less suited for text LLMs
  • Smaller text model catalog than dedicated LLM providers
  • Less enterprise support than larger platforms

SambaNova Cloud

  • Smaller model catalog vs OpenRouter or Together AI
  • No proprietary frontier models — inference-only platform
  • RDU architecture may behave differently from GPU inference for some workloads

Provider category context

fal.ai is a inference api, founded in 2022. SambaNova Cloud is a inference api, founded in 2017. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.

How to choose between them

Both fal.ai and SambaNova Cloud host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.