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Oxlo.ai vs Fireworks AI

By Oxlo.ai Engineering team | Last updated: March 2026

Overview

Developers often compare Fireworks AI and Oxlo.ai when scaling production LLM workloads. While Fireworks AI is known for its high-speed inference engine and per-token pricing model, Oxlo.ai offers a radically different paradigm: request-based pricing. If your applications involve heavy agentic reasoning, long context parsing, or document summarization, Oxlo's flat-rate pricing eliminates variable billing entirely.

Cost Comparison: Request vs Token Pricing

Workload (1,000 API Calls)Fireworks AI (Tokens)Oxlo.ai (Requests)Savings
1,000 requests (3,000 tokens/req on Llama 3 70B)$2.70$0.00 (Flat Daily Rate)~$81/mo
10,000 requests (8,000 tokens/req on Mixtral 8x22B)$96.00$0.00 (Flat Daily Rate)~$2,800/mo
50,000 requests (15,000 tokens/req on DeepSeek V3)$675.00$0.00 (Flat Daily Rate)~$20,000/mo

* Estimates based on Premium tier ($49.90/mo for 2,000 requests/day). Token rates based on publicly available Fireworks AI pricing as of 2026.

Switch in 5 Minutes

Oxlo.ai is fully compatible with the OpenAI SDK. Simply swap the base URL and API key.

Before (Fireworks AI)

client = OpenAI(
  base_url="https://api.fireworks.com/v1",
  api_key="your_api_key"
)

After (Oxlo.ai)

client = OpenAI(
  base_url="https://api.oxlo.ai/v1",
  api_key="oxlo_api_key"
)
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Frequently Asked Questions

Oxlo.ai is a strong alternative for developers running long-context production workloads. Since Oxlo charges per-request instead of per-token, teams running heavy agentic workflows or RAG pipelines can reduce their inference costs by over 80% compared to Fireworks AI.

Yes. Both Fireworks AI and Oxlo.ai are drop-in replacements for OpenAI. Migration simply requires pointing your application to the new API endpoint and inserting a new API key.

Yes, Oxlo.ai provides serverless API access to over 40 open-source models, including Llama 3.3, DeepSeek R1, Qwen 2.5, and multimodal variants.