Fireworks AI Pricing Calculator
Updated May 2026Pure-usage per-token serverless + per-hour GPU + per-1M-token fine-tuning + sales-led enterprise
Fireworks AI pricing: Fireworks AI pricing 2026: per-token serverless (Turbo + Priority), H100/H200 $7/hr, B200 $10, B300 $12, LoRA + full fine-tuning, batch + cached 50% off. Use the free calculator below to enter your usage and get an instant all-in monthly estimate — including overages — and see which plan is cheapest for your needs.
How Fireworks AI prices: Pure-usage per-token serverless + per-hour GPU + per-1M-token fine-tuning + sales-led enterprise.
How Fireworks AI prices
Pure-usage per-token serverless + per-hour GPU + per-1M-token fine-tuning + sales-led enterprise
Your usage
💡 1M input tokens ≈ 750k words of prompts/context; a busy RAG app runs 50–200M/mo
Fireworks serverless input price scales by base-model parameter count. Cached input tokens bill at 50% of these rates; batch inference takes another 50% off.
💡 Output tokens are the model's generated response; typically 20–40% of input volume for RAG
Per-model output rates from the Fireworks docs serverless price card. Output tokens always cost more than input; match this to the same model class as your input rate.
💡 One GPU running 8h/day ≈ 240 GPU-hrs/mo; 24×7 single GPU ≈ 730 GPU-hrs/mo
On-demand dedicated deployments are billed per GPU-second (shown per hour). No charge for start-up time; idle running time is billed while the deployment is up.
💡 Training tokens ≈ dataset tokens × epochs; a 10M-token full-SFT run on a 70B model costs ~$60
Fireworks fine-tuning is priced per 1M training tokens by base-model size and method (LoRA vs full-parameter, SFT vs DPO). Serving the tuned model bills separately at the standard serverless or dedicated rate.
Monthly Estimate
Pay-as-you-go
$36.00
per month
Cost Breakdown
Annual
$432.00
Why Pay-as-you-go — $36.00/mo
- Pay-as-you-go at $36.00/mo.
- How we got there: 90 M tokens/mo (Serverless input tokens) × 0 $/1M in (Serverless model size (input rate)) = 18 $.
- How we got there: 30 M tokens/mo (Serverless output tokens) × 1 $/1M out (Serverless model (output rate)) = 18 $.
- How we got there: 0 GPU-hrs/mo (Dedicated GPU hours) × 7 $/hr (GPU type (per-hour rate)) = 0 $.
- How we got there: 0 M tokens (Fine-tuning training tokens) × 1 $/1M (Fine-tuning size × method (per 1M tokens)) = 0 $.
- Serverless input tokens (18 $ × $1) is 50% of your bill — the lever that matters most.
- Need less? Serverless model size (input rate): Under 4B params — $0.10/1M in drops you to Pay-as-you-go at $27.00/mo.
Budget range
Plan for usage swings, not just today's estimate.
Conservative
$27.00
45 M tokens/mo/mo
Expected
$36.00
90 M tokens/mo/mo
Aggressive
$54.00
180 M tokens/mo/mo
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Get StartedAbout this Fireworks AI calculator
This calculator estimates your Fireworks AI cost from publicly available pricing. Actual costs may vary with your specific agreement, volume discounts, and usage patterns — always verify on the provider's official pricing page for the most current rates.
Fireworks AI pricing — frequently asked questions
How much does Fireworks AI cost per month? ▼
Fireworks has no monthly subscription fee — you pay only for serverless tokens consumed, dedicated GPU hours running, and fine-tuning training tokens processed. A small RAG application using DeepSeek V3.1 at 30M input + 10M output tokens would cost roughly $25–$30/month on serverless; the same workload on a dedicated H100 ($7/hr) running 4h/day would cost ~$840/month.
What does Fireworks charge per GPU hour for dedicated deployments? ▼
Fireworks publishes three on-demand dedicated rates: H100 80GB / H200 141GB at $7.00/hour, B200 180GB at $10.00/hour, and B300 288GB at $12.00/hour. There is no published A100 rate on the on-demand page — A100 capacity is available via Enterprise commitments. Dedicated deployments include the platform optimization layer (request batching, KV cache management) on top of the GPU rate.
How do Fireworks Turbo and Priority tiers differ? ▼
Turbo is latency-optimized — lower time-to-first-token and lower per-request latency, billed at a higher per-token rate than Priority. Priority is throughput-optimized — higher concurrent capacity and lower per-token cost, with slightly higher latency. Customers select per-request via API parameter; cached input discount applies to both tiers.
Does Fireworks have a free tier? ▼
Yes, but it is small: new accounts receive $1 in trial credits — enough to evaluate a few thousand tokens of inference but not to run a meaningful production workload. The $1 trial is significantly smaller than Together AI's typical free credit and suggests Fireworks now relies on sales-led conversion rather than generous self-serve trials.
Is this Fireworks AI pricing calculator free and accurate? ▼
Yes — it's completely free with no signup. It uses the latest publicly available Fireworks AI pricing (verified May 2026). Actual costs may vary with volume discounts or enterprise terms — always confirm on Fireworks AI's official pricing page.