Fireworks AI vs Vultr: Inference & Compute Comparison
Compare Fireworks AI and Vultr side by side. Both are tools in the Inference & Compute category.
Updated March 10, 2026
The short answer
Choose Fireworks AI if 1-2 orders of magnitude cheaper than competitors.
Choose Vultr if production-ready.
Want to compare Fireworks AI and Vultr 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 deploying open-source models who need fast, reliable, and cost-efficient inference | Developers and enterprises needing GPU compute |
| Website | fireworks.ai | vultr.com |
| Key Features |
|
|
| Use Cases |
| — |
Pros & Cons: Fireworks AI vs Vultr
- +1-2 orders of magnitude cheaper than competitors
- +Flexible deployment options (serverless/dedicated)
- +Cost-effective fine-tuning capabilities
- +NVIDIA Blackwell support for 10× cost reduction
- −Pay-per-token pricing requires careful monitoring
- −Costs vary significantly by model and usage
- −Dedicated GPU hourly rates add up for 24/7 use
- +Production-ready
- +Good performance
- +Active development
- −Pricing varies
- −Setup required
Pricing: Fireworks AI vs Vultr
- · Per-token pricing
- · 1-2 orders of magnitude cheaper
- · Cached tokens 50% off
- · Unpredictable traffic support
- · 50% discount on tokens
- · Batch inference
- · Cost optimization
- · Large-scale processing
- · A100 GPU access
- · Per-second billing
- · H100/H200/MI300X available
- · Custom deployments
- · Models up to 16B params
- · Custom model training
- · Premium for larger models
- · Production deployment
- · Core features
- · Community support
- · Advanced features
- · Priority support
- · Custom solutions
- · SLA guarantees
When to Choose Fireworks AI vs Vultr
- Production inference for open-source LLMs
- Fine-tuned model deployment
- Low-latency AI applications
About Fireworks AI
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.
About Vultr
AI platform providing comprehensive solutions for enterprise applications. The platform provides essential capabilities for modern AI applications with focus on scalability and reliability.
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.