Compare Fireworks AI and Nebius side by side. Both are tools in the Inference & Compute category.
Updated March 10, 2026
Choose Fireworks AI if 1-2 orders of magnitude cheaper than competitors.
Choose Nebius if massive scale with 2+ GW contracted power, expanding to 3+ GW.
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| Category | Inference & Compute | Inference & Compute |
| Pricing | Usage-based | — |
| Best For | Developers deploying open-source models who need fast, reliable, and cost-efficient inference | — |
| Website | fireworks.ai | nebius.com |
| Key Features |
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| Use Cases |
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Fireworks AI is a fast, affordable, and customizable generative AI platform providing serverless inference, dedicated GPU deployments, and model fine-tuning. Pay-as-you-go pricing based on per-token fees (1-2 orders of magnitude lower than competitors), with batch processing at 50% of serverless pricing. Dedicated GPUs: USD 3.89/hour for A100 (vs USD 6.50+ competitors). Fine-tuning starts at USD 0.50 per 1M tokens for models up to 16B parameters. Cached tokens priced at 50% discount. Fireworks emphasizes efficiency with NVIDIA Blackwell reducing costs up to 10×. The platform enables developers to deploy custom models cost-effectively while maintaining high performance.
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.
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.
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