Fireworks AI Pricing & Plans 2026

Name: Fireworks AI
Brand: Fireworks AI
Availability: InStock

Complete pricing guide for Fireworks AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether Fireworks AI is worth it →

🆓Free Tier Available

💎3 Paid Plans

⚡No Setup Fees

Choose Your Plan

Free

✓Serverless API access to open-source models
✓Limited free credit allocation for experimentation
✓Access to model catalog and documentation
✓Community support

Start Free Trial →

Pay-As-You-Go

Per-token, varies by model

✓No upfront commitment or minimum spend
✓Serverless endpoints with pay-per-token billing
✓Starting from $0.20 per million input tokens for smaller models
✓Larger models like Llama 3.1 405B priced at higher per-token rates
✓On-demand dedicated GPU deployments available

Start Free Trial →

Enterprise

Custom

✓Volume-based pricing with committed spend discounts
✓Dedicated account management and SLAs
✓SOC2, HIPAA, and GDPR compliance
✓Bring-your-own-cloud deployment options
✓Zero data retention and data sovereignty guarantees
✓Custom fine-tuning and model optimization support
✓Priority access to new models and features

Contact Sales →

Pricing sourced from Fireworks AI · Last verified March 2026

Feature Comparison

Features	Free	Pay-As-You-Go	Enterprise
Serverless API access to open-source models	✓	✓	✓
Limited free credit allocation for experimentation	✓	✓	✓
Access to model catalog and documentation	✓	✓	✓
Community support	✓	✓	✓
No upfront commitment or minimum spend	—	✓	✓
Serverless endpoints with pay-per-token billing	—	✓	✓
Starting from $0.20 per million input tokens for smaller models	—	✓	✓
Larger models like Llama 3.1 405B priced at higher per-token rates	—	✓	✓
On-demand dedicated GPU deployments available	—	✓	✓
Volume-based pricing with committed spend discounts	—	—	✓
Dedicated account management and SLAs	—	—	✓
SOC2, HIPAA, and GDPR compliance	—	—	✓
Bring-your-own-cloud deployment options	—	—	✓
Zero data retention and data sovereignty guarantees	—	—	✓
Custom fine-tuning and model optimization support	—	—	✓
Priority access to new models and features	—	—	✓

Is Fireworks AI Worth It?

✅ Why Choose Fireworks AI

• Exceptionally fast inference speeds with an optimized engine delivering industry-leading throughput and latency, with customers like Sourcegraph reporting latency reductions from 2 seconds to 350 milliseconds according to published case studies
• Broad model catalog with over 50 serverless models including Llama 3.1/3.3, DeepSeek V3, Qwen 2.5, Gemma 2, and Mixtral, accessible via OpenAI-compatible API calls
• Advanced fine-tuning capabilities including reinforcement learning, quantization-aware tuning, and adaptive speculation without requiring deep ML infrastructure knowledge
• Enterprise-grade compliance with SOC2, HIPAA, and GDPR certifications, zero data retention, bring-your-own-cloud options, and data sovereignty guarantees
• Serverless deployment with no cold starts and automatic GPU scaling, eliminating infrastructure management overhead

⚠️ Consider This

• Limited to open-source models only — no access to proprietary models like Claude, GPT-4, or Gemini, requiring separate providers for those
• Per-token pricing can become expensive at very high volumes compared to self-hosting the same open-source models on dedicated GPU infrastructure
• Training capabilities are still in preview and not yet production-ready, so the platform is primarily an inference and fine-tuning service for now
• Documentation and community resources are smaller compared to major cloud providers like AWS Bedrock or Google Vertex AI

What Users Say About Fireworks AI

👍 What Users Love

✓Exceptionally fast inference speeds with an optimized engine delivering industry-leading throughput and latency, with customers like Sourcegraph reporting latency reductions from 2 seconds to 350 milliseconds according to published case studies
✓Broad model catalog with over 50 serverless models including Llama 3.1/3.3, DeepSeek V3, Qwen 2.5, Gemma 2, and Mixtral, accessible via OpenAI-compatible API calls
✓Advanced fine-tuning capabilities including reinforcement learning, quantization-aware tuning, and adaptive speculation without requiring deep ML infrastructure knowledge
✓Enterprise-grade compliance with SOC2, HIPAA, and GDPR certifications, zero data retention, bring-your-own-cloud options, and data sovereignty guarantees
✓Serverless deployment with no cold starts and automatic GPU scaling, eliminating infrastructure management overhead

👎 Common Concerns

⚠Limited to open-source models only — no access to proprietary models like Claude, GPT-4, or Gemini, requiring separate providers for those
⚠Per-token pricing can become expensive at very high volumes compared to self-hosting the same open-source models on dedicated GPU infrastructure
⚠Training capabilities are still in preview and not yet production-ready, so the platform is primarily an inference and fine-tuning service for now
⚠Documentation and community resources are smaller compared to major cloud providers like AWS Bedrock or Google Vertex AI

Pricing FAQ

What models are available on Fireworks AI?

Fireworks provides access to a wide catalog of popular open-source models including Llama 3.1 (8B, 70B, and 405B), Llama 3.3 70B, DeepSeek V3, Qwen 2.5 (7B, 32B, and 72B), Gemma 2 (9B and 27B), Mixtral 8x22B, Mistral variants, and multimodal models like Llama 3.2 Vision. The library includes over 50 serverless models spanning LLMs, vision models, and image generation models like SDXL, with new models added frequently and often on launch day.

How does Fireworks AI pricing work?

Fireworks uses per-token pricing that varies by model size and capability. Smaller models like Llama 3.1 8B are available at lower per-token rates, while larger models like Llama 3.1 405B cost more per token. A free tier is available for experimentation. Serverless endpoints require no upfront cost or GPU provisioning fees. On-demand dedicated GPU deployments are available for production workloads requiring guaranteed capacity. Enterprise customers can negotiate volume discounts with committed spend agreements.

Is Fireworks AI suitable for enterprise use?

Yes. Fireworks is SOC2, HIPAA, and GDPR compliant, offers zero data retention policies, and supports bring-your-own-cloud deployments for complete data sovereignty. Enterprise customers include Notion, Sourcegraph, Cursor, and Quora. The platform provides dedicated support, SLAs, and globally distributed infrastructure for mission-critical workloads.

Can I fine-tune models on Fireworks AI?

Yes. Fireworks offers fine-tuning with advanced techniques including reinforcement learning, quantization-aware tuning, and adaptive speculation. You can customize any supported open-source model for your specific use case and deploy the tuned model directly on the Fireworks inference cloud without managing separate training and serving infrastructure.

Ready to Get Started?

AI builders and operators use Fireworks AI to streamline their workflow.

Try Fireworks AI Now →

More about Fireworks AI

Review Alternatives Free vs Paid Pros & Cons Worth It?Tutorial

Fireworks AI Pricing & Plans 2026

Complete pricing guide for Fireworks AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

🆓Free Tier Available

💎3 Paid Plans

⚡No Setup Fees

Choose Your Plan

Free

✓Serverless API access to open-source models
✓Limited free credit allocation for experimentation
✓Access to model catalog and documentation
✓Community support

Start Free Trial →

Pay-As-You-Go

Per-token, varies by model

✓No upfront commitment or minimum spend
✓Serverless endpoints with pay-per-token billing
✓Starting from $0.20 per million input tokens for smaller models
✓Larger models like Llama 3.1 405B priced at higher per-token rates
✓On-demand dedicated GPU deployments available

Start Free Trial →

Enterprise

Custom

✓Volume-based pricing with committed spend discounts
✓Dedicated account management and SLAs
✓SOC2, HIPAA, and GDPR compliance
✓Bring-your-own-cloud deployment options
✓Zero data retention and data sovereignty guarantees
✓Custom fine-tuning and model optimization support
✓Priority access to new models and features

Contact Sales →

Pricing sourced from Fireworks AI · Last verified March 2026

Feature Comparison

Features	Free	Pay-As-You-Go	Enterprise
Serverless API access to open-source models	✓	✓	✓
Limited free credit allocation for experimentation	✓	✓	✓
Access to model catalog and documentation	✓	✓	✓
Community support	✓	✓	✓
No upfront commitment or minimum spend	—	✓	✓
Serverless endpoints with pay-per-token billing	—	✓	✓
Starting from $0.20 per million input tokens for smaller models	—	✓	✓
Larger models like Llama 3.1 405B priced at higher per-token rates	—	✓	✓
On-demand dedicated GPU deployments available	—	✓	✓
Volume-based pricing with committed spend discounts	—	—	✓
Dedicated account management and SLAs	—	—	✓
SOC2, HIPAA, and GDPR compliance	—	—	✓
Bring-your-own-cloud deployment options	—	—	✓
Zero data retention and data sovereignty guarantees	—	—	✓
Custom fine-tuning and model optimization support	—	—	✓
Priority access to new models and features	—	—	✓

Is Fireworks AI Worth It?

✅ Why Choose Fireworks AI

• Exceptionally fast inference speeds with an optimized engine delivering industry-leading throughput and latency, with customers like Sourcegraph reporting latency reductions from 2 seconds to 350 milliseconds according to published case studies
• Broad model catalog with over 50 serverless models including Llama 3.1/3.3, DeepSeek V3, Qwen 2.5, Gemma 2, and Mixtral, accessible via OpenAI-compatible API calls
• Advanced fine-tuning capabilities including reinforcement learning, quantization-aware tuning, and adaptive speculation without requiring deep ML infrastructure knowledge
• Enterprise-grade compliance with SOC2, HIPAA, and GDPR certifications, zero data retention, bring-your-own-cloud options, and data sovereignty guarantees
• Serverless deployment with no cold starts and automatic GPU scaling, eliminating infrastructure management overhead

⚠️ Consider This

• Limited to open-source models only — no access to proprietary models like Claude, GPT-4, or Gemini, requiring separate providers for those
• Per-token pricing can become expensive at very high volumes compared to self-hosting the same open-source models on dedicated GPU infrastructure
• Training capabilities are still in preview and not yet production-ready, so the platform is primarily an inference and fine-tuning service for now
• Documentation and community resources are smaller compared to major cloud providers like AWS Bedrock or Google Vertex AI

What Users Say About Fireworks AI

👍 What Users Love

✓Exceptionally fast inference speeds with an optimized engine delivering industry-leading throughput and latency, with customers like Sourcegraph reporting latency reductions from 2 seconds to 350 milliseconds according to published case studies
✓Broad model catalog with over 50 serverless models including Llama 3.1/3.3, DeepSeek V3, Qwen 2.5, Gemma 2, and Mixtral, accessible via OpenAI-compatible API calls
✓Advanced fine-tuning capabilities including reinforcement learning, quantization-aware tuning, and adaptive speculation without requiring deep ML infrastructure knowledge
✓Enterprise-grade compliance with SOC2, HIPAA, and GDPR certifications, zero data retention, bring-your-own-cloud options, and data sovereignty guarantees
✓Serverless deployment with no cold starts and automatic GPU scaling, eliminating infrastructure management overhead

👎 Common Concerns

⚠Limited to open-source models only — no access to proprietary models like Claude, GPT-4, or Gemini, requiring separate providers for those
⚠Per-token pricing can become expensive at very high volumes compared to self-hosting the same open-source models on dedicated GPU infrastructure
⚠Training capabilities are still in preview and not yet production-ready, so the platform is primarily an inference and fine-tuning service for now
⚠Documentation and community resources are smaller compared to major cloud providers like AWS Bedrock or Google Vertex AI