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Fireworks AI vs Infron
Fireworks runs its own fast serving stack with fine-tuning. Infron routes requests across 400+ models from many providers.
By The Subconscious Team · Updated
Fireworks AI vs Infron: key differences
Fireworks serves 400+ open models on a custom stack, with third-party measurements of 167 to 174 tokens per second on DeepSeek V4 Pro, plus SFT, DPO and RFT with fine-tunes served at base price. Infron is a gateway: one OpenAI-compatible API in front of 400+ models from 100+ providers, at provider rates plus a 3% to 5% fee on credit top-ups, with fallbacks, region pinning and a 99.9% uptime SLA on dedicated throughput.
Fireworks wins on measured speed, custom training and enterprise certifications. Infron wins on reach, adding closed models and failover across hosts on one bill. A team could even route to Fireworks through Infron with its own key, since bring-your-own-key carries no fee.
What Fireworks AI and Infron do
Fireworks AI
Fireworks AI was founded in 2022 by former Meta PyTorch engineers led by CEO Lin Qiao, and it sells speed on open models. Its custom serving stack has posted 167 to 174 tokens per second on DeepSeek V4 Pro in third-party measurements, several times what most GPU peers hit on the same model. The catalog holds 400+ models across text, vision, audio and embeddings, served through an OpenAI-compatible API. In July 2026 it raised a $1.505B Series D at a $17.5B valuation, with a reported $1B+ run rate and 40T+ tokens a day.
Example models: DeepSeek V4 Pro, Kimi K3
Full Fireworks AI profile
Infron
Infron is a US-based AI gateway and inference platform. One OpenAI-compatible API reaches 400+ models from 100+ providers, including DeepSeek, Qwen, Claude, Gemini and GPT through what Infron calls official partner routes, plus media and search models. Teams set provider preferences and fallbacks, see usage and billing in one place, and can bring their own provider keys at no fee. Lawrence Xu is CEO and co-founder Andrew Zheng is CTO.
Example models: DeepSeek, Qwen, Claude, Gemini, GPT
Full Infron profileShould you choose Fireworks AI or Infron?
Fireworks AI
Choose Fireworks AI for
- Measured speed on open models
- SFT, DPO and RFT
- SOC 2, HIPAA and ISO
Infron
Choose Infron for
- Closed and open models on one key and one bill
- Automatic failover across providers
- Routing your own provider keys at no fee
Fireworks AI vs Infron at a glance
| Attribute | Fireworks AI |  Infron |
|---|---|---|
| Model access | Open weights | Closed and open, 400+ models |
| Flagship models | DeepSeek V4 Pro, Kimi K3 | DeepSeek, Qwen, Claude, Gemini, GPT |
| Speed | 167–174 tok/s on DeepSeek V4 Pro | Unknown |
| Price | Fine-tunes served at base price | Provider rates; 3–5% top-up fee |
| Customization | SFT, DPO, RFT; Training API | Custom deployments |
| Deployment | Serverless, dedicated GPUs | Gateway API, dedicated, BYOK |
| Long context | Full 1M on DeepSeek V4 Pro | Varies by model |
Frequently asked questions
What is the difference between Fireworks AI and Infron?
Fireworks runs its own fast serving stack with fine-tuning. Infron routes requests across 400+ models from many providers.
When should I choose Fireworks AI over Infron?
Measured speed on open models; SFT, DPO and RFT; SOC 2, HIPAA and ISO.
When should I choose Infron over Fireworks AI?
Closed and open models on one key and one bill; Automatic failover across providers; Routing your own provider keys at no fee.
Is Fireworks AI or Infron cheaper?
Fireworks AI: Fine-tunes served at base price. Infron: Provider rates; 3–5% top-up fee. The cheaper choice depends on the model and workload.
Which has more context, Fireworks AI or Infron?
Fireworks AI: Full 1M on DeepSeek V4 Pro. Infron: Varies by model.
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