Nebius vs Together AI: Inference & Compute Comparison
Compare Nebius and Together AI side by side. Both are tools in the Inference & Compute category.
Updated March 10, 2026
The short answer
Choose Nebius if massive scale with 2+ GW contracted power, expanding to 3+ GW.
Choose Together AI if competitive pricing starting at USD 0.10 per million tokens.
Want to compare Nebius 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 |
| Best For | — | Developers and companies deploying open-source AI models in production |
| Website | nebius.com | together.ai |
| Key Features | — |
|
| Use Cases | — |
|
Pros & Cons: Nebius vs Together AI
- +Massive scale with 2+ GW contracted power, expanding to 3+ GW
- +Latest NVIDIA hardware including B200 Blackwell and GB300
- +Up to 35 percent savings with reserved capacity
- +Strong employee satisfaction (4.5/5) in Amsterdam
- −No free trial makes evaluation difficult without upfront commitment
- −Work-life balance concerns cited by some employees
- −Over 90 percent Russian language creates barrier for non-Russian speakers
- −Newer player compared to established cloud providers
- +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: Nebius vs Together AI
- · NVIDIA B200 Blackwell
- · Interruptible compute
- · Cost-optimized
- · Multiple GPU options
- · GB300, GB200, H200, H100
- · Immediate availability
- · Multi-month commitment
- · Large-scale clusters
- · Predictable pricing
- · 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 Nebius vs Together AI
- Hosting open-source LLMs in production
- Fine-tuning models on custom data
- Cost-efficient inference at scale
About Nebius
Nebius Group is an AI cloud infrastructure company headquartered in Amsterdam, Netherlands, providing a unified platform spanning data processing, model training, and production deployment. Listed on Nasdaq (NBIS) with a USD 25.8 billion market capitalization and 1,371 employees, Nebius offers NVIDIA GB300, GB200, B300, B200, H200, and H100 GPUs. Current pricing includes B200 Blackwell GPUs at USD 2.69 per hour for preemptible instances, with up to 35 percent savings on on-demand rates for multi-month reserved clusters. The company has secured over 2 gigawatts of contracted power with expectations to reach 3+ GW by year-end, enabling massive scale. Nebius expects annualized revenue run-rate of USD 7-9 billion by end of 2026, up from USD 1.25 billion in 2025, with USD 2.1 billion in Q4 2025 capital expenditures. Amsterdam employees rate the company 4.5 out of 5 stars, praising great people, good salary, and interesting projects, though some cite work-life balance concerns and over 90 percent Russian language barrier for non-Russian speakers.
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.