Fireworks AI vs Particle.AI
Particle.AI is an early startup selling cheap Flash-class models through Vercel AI Gateway. Fireworks is a mature host with 400+ models and fine-tuning.
By The Subconscious Team · Updated
Fireworks AI vs Particle.AI: key differences
Particle.AI is a very early San Francisco startup, and the clearest view of its product is its listing on Vercel AI Gateway. There it serves a few Flash-class open models with 1M context: DeepSeek V4.1 Flash at $0.25 in and $1 out at about 157 tokens per second, GLM 5.3 Flash at $0.10 in and $0.40 out, and DeepSeek V4 Flash 0731 at $0.14 in and $0.28 out, all with cache reads at $0.03. Fireworks is a large, established host, with 400+ models, a July 2026 Series D, and 167 to 174 tokens per second on DeepSeek V4 Pro in third-party tests.
The two can coexist in a gateway. Particle works as a price-optimized route or fallback for cheap Flash calls, and teams can try it with no new contract. Fireworks covers the larger models Particle does not carry, like V4 Pro and Kimi K3, and adds fine-tuning plus SOC 2, HIPAA and ISO. Particle's listing shows 3.5 seconds of latency on DeepSeek V4.1 Flash, which trails faster hosts, and the company has little public track record. Keep critical traffic on Fireworks and test Particle on high-volume, low-stakes calls.
What Fireworks AI and Particle.AI 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 profileParticle.AI
Particle AI is an early San Francisco infrastructure startup with a mission to make intelligence as cheap and abundant as electricity. The team works on post-training, inference optimization and distributed systems, all aimed at pushing down cost per unit of intelligence. It is still hiring its founding team and works fully in person. Public detail about funding and founders is thin as of this writing.
Example models: DeepSeek V4.1 Flash, GLM 5.3 Flash
Full Particle.AI profileShould you choose Fireworks AI or Particle.AI?
Fireworks AI
Choose Fireworks AI for
- Larger models like DeepSeek V4 Pro and Kimi K3
- Fine-tuning and serving custom models
- Critical traffic that needs certifications and a track record
Particle.AI
Choose Particle.AI for
- Cheap high-volume calls on DeepSeek and GLM Flash models
- A price-optimized fallback inside Vercel AI Gateway
- Cache-heavy Flash workloads with $0.03 cache reads
Fireworks AI vs Particle.AI at a glance
| Attribute | ||
|---|---|---|
| Model access | Open weights | Open weights |
| Flagship models | DeepSeek V4 Pro, Kimi K3 | DeepSeek V4.1 Flash, GLM 5.3 Flash |
| Speed | 167–174 tok/s on DeepSeek V4 Pro | ~157 tok/s on DeepSeek V4.1 Flash |
| Price | Fine-tunes served at base price | $0.10 in, $0.40 out (GLM 5.3 Flash) |
| Customization | SFT, DPO, RFT; Training API | Unknown |
| Deployment | Serverless, dedicated GPUs | Via Vercel AI Gateway |
| Long context | Full 1M on DeepSeek V4 Pro | 1M |
Frequently asked questions
What is the difference between Fireworks AI and Particle.AI?
Particle.AI is an early startup selling cheap Flash-class models through Vercel AI Gateway. Fireworks is a mature host with 400+ models and fine-tuning.
When should I choose Fireworks AI over Particle.AI?
Larger models like DeepSeek V4 Pro and Kimi K3; Fine-tuning and serving custom models; Critical traffic that needs certifications and a track record.
When should I choose Particle.AI over Fireworks AI?
Cheap high-volume calls on DeepSeek and GLM Flash models; A price-optimized fallback inside Vercel AI Gateway; Cache-heavy Flash workloads with $0.03 cache reads.
Is Fireworks AI or Particle.AI cheaper?
Fireworks AI: Fine-tunes served at base price. Particle.AI: $0.10 in, $0.40 out (GLM 5.3 Flash). The cheaper choice depends on the model and workload.
Which has more context, Fireworks AI or Particle.AI?
Fireworks AI: Full 1M on DeepSeek V4 Pro. Particle.AI: 1M.
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Running long-horizon agents?
If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.