Fal.ai vs Together AI: Inference & Compute Comparison
Compare Fal.ai and Together AI side by side. Both are tools in the Inference & Compute category.
Updated March 10, 2026
The short answer
Choose Fal.ai if 4x faster inference for diffusion models enables real-time applications.
Choose Together AI if competitive pricing starting at USD 0.10 per million tokens.
Want to compare Fal.ai and Together AI on your own traffic?
Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 250+ models through one gateway. Free tier covers 10K traces per month. Setup in 5 minutes, no credit card.
Quick Comparison
| Category | Inference & Compute | Inference & Compute |
| Pricing | usage-based | Usage-based |
| Best For | Developers building generative media applications | Developers and companies deploying open-source AI models in production |
| Website | fal.ai | together.ai |
| Key Features |
|
|
| Use Cases | — |
|
Pros & Cons: Fal.ai vs Together AI
- +4x faster inference for diffusion models enables real-time applications
- +Transparent output-based pricing proportional to content complexity
- +Strong funding (USD 400M) and valuation (USD 4B) indicate market confidence
- +Free tier with credits enables thorough evaluation
- −Output-based pricing can become expensive at scale
- −GPU custom deployments require infrastructure management knowledge
- −Newer platform with less extensive documentation than established providers
- −Pricing varies significantly by model and output type
- +Competitive pricing starting at USD 0.10 per million tokens
- +50 percent discounts on batch inference and prompt caching
- +Strong backing from NVIDIA and Salesforce Ventures
- +Flexible deployment with both serverless and dedicated options
- −Focused on open-source models may limit access to proprietary models
- −Per-minute billing for dedicated GPUs can be complex to predict
- −Newer platform with less extensive documentation than established providers
- −Pricing varies significantly by model making cost planning difficult
Pricing: Fal.ai vs Together AI
- · Free credits for testing
- · Basic API access
- · Output-based pricing
- · Community support
- · Output-based billing
- · Per megapixel pricing
- · Per second video pricing
- · Proportional resolution adjustments
- · Custom deployments
- · GPU fleet access
- · Billed per second
- · High-performance inference
- · Pay-as-you-go
- · Multiple open-source models
- · USD 5 free credit
- · Llama 3 70B at USD 0.90/M tokens
- · Bulk processing discount
- · Async execution
- · Cost optimization
- · H100, H200 GPUs
- · Reserved capacity
- · Production workloads
- · Custom pricing
When to Choose Fal.ai vs Together AI
- Hosting open-source LLMs in production
- Fine-tuning models on custom data
- Cost-efficient inference at scale
About Fal.ai
Fal.ai (Features and Labels Inc) is a generative media platform founded in 2021 by Burkay Gur and Gorkem Yurtseven in San Francisco. The company raised USD 400 million across 5 rounds including a USD 140 million Series D in October 2025, reaching a USD 4 billion valuation with backing from Andreessen Horowitz, Sequoia Capital, and Meritech. Fal.ai provides developers with tools for creating audio, video, and images using AI, featuring a high-speed inference engine optimized to run diffusion models up to 4x faster for real-time generative media applications. The platform uses output-based pricing (per image, megapixel, or video second) for most hosted models, with specific pricing like FLUX.dev at USD 0.025 per image, while custom deployments use GPU-based pricing with H100s available from USD 1.89/hour. Fal.ai offers a freemium model with free credits for testing and pay-per-use plans for higher volumes. With 101-250 employees, the company has established itself as a leading platform for AI-powered media generation.
About Together AI
Together AI is a cloud-based platform for building with open-source generative AI, founded on June 11, 2022 in San Francisco by Ce Zhang, Chris Re, Percy Liang, and Vipul Ved Prakash. The company raised USD 305 million in Series B funding in 2025 with participation from industry leaders including NVIDIA and Salesforce Ventures. Together AI provides serverless inference with pay-as-you-go pricing starting from USD 0.10 per million tokens for small models and USD 0.90 for Llama 3 70B, with a free USD 5 credit to start. The platform offers a 50 percent discount on batch inference and 50 percent savings on prompt caching for repetitive queries. For teams requiring dedicated resources, Together AI provides GPU endpoints billed per minute, with high-end H100 and H200 GPUs available. The platform specializes in open-source model deployment and provides instant GPU clusters for training and inference workloads. Together AI has become a leading platform for teams building with open-source AI models, offering both serverless convenience and dedicated infrastructure options.
What is Inference & Compute?
Platforms that provide GPU compute, model hosting, and inference APIs. These companies serve open-source and third-party models, offer optimized inference engines, and provide cloud GPU infrastructure for AI workloads.
Browse all Inference & Computetools →Other Inference & Compute Tools
More Inference & Compute Comparisons
Run Inference & Compute in production with Respan
One platform for routing, observability, tracing, and evals across every LLM provider.