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Fireworks AIVerified

fireworks.ai

CodingVerifiedVerified#141 Ranked

Fast inference platform for open-source generative AI models.

Quick Information

Category:
Coding
Pricing:
Freemium
Platforms:
Web, API
Free Plan:
Yes
API Available:
Yes
Last Verified:
September 2026

What Is Fireworks AI?

Fireworks AI provides fast LLM inference infrastructure with both serverless pay-as-you-go pricing and dedicated GPU deployment options. Serverless pricing scales by model size — $0.20/million tokens for smaller models like Llama 3.1 8B, $0.90/million for Llama 3.1 70B, and $3.00/million for Llama 3.1 405B — while dedicated GPU deployments run $8.00/hour for H100/H200, $13.00/hour for B200, and $15.00/hour for B300, following a September 1, 2026 price increase of 14-30% on on-demand GPU rates specifically.

New accounts get $1 in free credits to start testing, with no minimum commitment thereafter for pay-as-you-go usage. A genuinely useful cost-saving detail: batch inference and cached input tokens both offer 50% discounts, meaning workloads that can tolerate batch processing or that repeatedly reuse similar input context can meaningfully reduce ongoing inference costs compared to standard real-time, uncached requests.

It's aimed at developers and companies needing fast LLM inference at scale, choosing between serverless per-token pricing for variable workloads or dedicated GPU deployment for predictable, high-volume usage, with batch and caching discounts rewarding workload patterns that can tolerate some flexibility. See our Coding tools directory for related AI infrastructure platforms.

What Can You Use Fireworks AI For?

Serverless LLM inference

Runs large language model inference at pay-as-you-go per-token pricing.

Dedicated GPU deployment

Deploys models on dedicated GPU infrastructure for predictable, high-volume usage.

Batch inference processing

Processes inference workloads in batch for a 50% cost discount.

Fireworks AI Features

  • Serverless inference — Provides pay-as-you-go LLM inference scaled by model size.
  • Dedicated GPU deployment — Offers hourly GPU deployment options for H100, H200, B200, and B300 hardware.
  • Batch inference discount — Offers 50% off for batch-processed inference workloads.
  • Cached input token discount — Offers 50% off for cached input tokens on repeated context.

Who Is Fireworks AI For?

  • Developers with variable inference workloads — Uses serverless pay-as-you-go pricing scaled to actual model usage.
  • Companies with predictable, high-volume usage — Uses dedicated GPU deployment for consistent, high-throughput inference needs.

Fireworks AI Pros & Limitations

What We Like

  • Genuinely useful 50% discounts on both batch inference and cached input tokens
  • $1 free credit with no minimum commitment for pay-as-you-go testing
  • Flexible choice between serverless and dedicated GPU deployment based on workload pattern

Limitations

  • Dedicated GPU rates increased significantly (14-30%) as of September 2026
  • Larger models (like Llama 3.1 405B at $3.00/million tokens) cost meaningfully more per token
  • Choosing between serverless and dedicated deployment requires understanding your actual usage pattern

Fireworks AI Pricing

PlanPriceMain Features
Serverless (small models)From $0.20/1M tokensPay-as-you-go, e.g. Llama 3.1 8B
Serverless (large models)Up to $3.00/1M tokensPay-as-you-go, e.g. Llama 3.1 405B
Dedicated GPU (H100/H200)$8.00/hourOn-demand dedicated deployment
Dedicated GPU (B200)$13.00/hourOn-demand dedicated deployment
Dedicated GPU (B300)$15.00/hourOn-demand dedicated deployment

Pricing was last verified September 2026. Check the official website for the latest pricing.

Check Current Pricing

AI Listing Jungle Ranking

Global Rank:
#141
Overall Score:
72.4/100
Monthly Users:
–
Rank Change:
▲ 15

This ranking reflects AI Listing Jungle's own independent scoring methodology and is not an endorsement by Fireworks AI or its company. How Our Rankings Work

Frequently Asked Questions

Does Fireworks AI offer free credits?

Yes, $1 in free credits for new accounts, with no minimum commitment thereafter.

Are there discounts for batch processing?

Yes, batch inference and cached input tokens each offer a 50% discount.

Did GPU pricing change recently?

Yes, on-demand dedicated GPU rates increased 14-30% as of September 1, 2026.

What determines serverless pricing?

Model size — smaller models cost less per token than larger ones like Llama 3.1 405B.

Our Take

Fireworks AI's batch and caching discounts genuinely reward workload patterns that can tolerate some processing flexibility, meaningfully reducing costs for the right use case.

The recent GPU price increases are worth factoring into cost projections for anyone relying on dedicated deployment rather than serverless pricing.

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