Fireworks AI: Inference & Compute

Founded 2022|San Francisco, California|51-200 people|Usage-based

What is 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.

Key features

Core capabilities this platform advertises.

Optimized inference for open-source models
Function calling and JSON mode
Fast iteration with model playground
Competitive pricing
Enterprise deployment options

Strengths and tradeoffs

What this tool does well, and the limitations to keep in mind.

Pros

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

Cons

Pay-per-token pricing requires careful monitoring
Costs vary significantly by model and usage
Dedicated GPU hourly rates add up for 24/7 use

Plans & pricing

What's included in each plan, and how the tiers compare.

Serverless Inference

Pay-per-token

Per usage

Per-token pricing
1-2 orders of magnitude cheaper
Cached tokens 50% off
Unpredictable traffic support

Batch Processing

50% of serverless

Per batch

50% discount on tokens
Batch inference
Cost optimization
Large-scale processing

Dedicated GPU

$3.89

Per hour

A100 GPU access
Per-second billing
H100/H200/MI300X available
Custom deployments

Fine-Tuning

$0.50

Per 1M tokens

Models up to 16B params
Custom model training
Premium for larger models
Production deployment

View official pricing page

Common use cases

Developers deploying open-source models who need fast, reliable, and cost-efficient inference

Production inference for open-source LLMs
Fine-tuned model deployment
Low-latency AI applications
Compound AI systems
Cost-optimized inference

Using Fireworks AI with Respan

Integrate Fireworks AI's cost-effective inference platform with Respan to deploy custom models at competitive prices. Leverage serverless inference for variable workloads or dedicated GPUs for consistent performance. Combine Fireworks' efficiency with Respan's multi-provider orchestration.

Save 10-100× on inference costs vs competitors
Deploy custom models with flexible infrastructure
Optimize costs with batch processing and caching
Access latest NVIDIA hardware at competitive rates

Run Fireworks AI in production with Respan

10KFree traces/mo

1,000+Models

5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

Try Respan free

Best Fireworks AI alternatives & competitors

Top companies in Inference & Compute you can use instead of Fireworks AI.

NVIDIA

H100 and B200 GPU clusters