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Venice vs Particle.AI
Particle.AI serves a handful of cheap Flash-class open models with 1M context through Vercel AI Gateway. Venice offers many of the same model families plus privacy tiers.
By The Subconscious Team · Updated
Venice vs Particle.AI: key differences
On cheap Flash models the two line up closely. Particle lists DeepSeek V4 Flash 0731 at $0.14 in and $0.28 out, GLM 5.3 Flash at $0.10 in and $0.40 out, and DeepSeek V4.1 Flash at $0.25 in and $1 out at about 157 tokens per second, all with 1M context and cache reads at $0.03 per million. Venice lists DeepSeek V4 Flash at the same $0.14 and $0.28, GLM 4.7 Flash at $0.06 in and $0.40 out, and 1M context on most current models. Particle has picked up new Flash-class models within days of release, and teams can try it through Vercel AI Gateway with no new contract.
Beyond price, Venice offers much more. Its catalog spans 370+ models across text, image, audio and video, with larger models like GLM 5.3 and Kimi K3, proxied closed models, and zero retention with TEE or end-to-end encryption on select open models. It also takes crypto, x402 USDC and DIEM credits. Particle is a very early company still hiring its founding team, with little public detail on funding or track record, and some listings show latency like 3.5 seconds on DeepSeek V4.1 Flash. Particle works well as a price-optimized route inside a gateway. Venice works as a primary provider when privacy and breadth matter.
What Venice and Particle.AI do
Venice
Venice is a privacy-focused AI platform founded in 2024 by Erik Voorhees, the crypto entrepreneur behind ShapeShift. It pairs a consumer chat app with a developer API that works as a drop-in replacement for OpenAI's chat endpoint and covers text, image, audio and video across 370+ models. Open models such as GLM 5.3, Kimi K3, DeepSeek V4 and Venice's own uncensored fine-tunes run under a private tier with contract-enforced zero data retention, and some add TEE inference or end-to-end encryption, where only an attested enclave can decrypt the prompt. Closed models from Anthropic, OpenAI and Google are proxied under an anonymized tier that hides user identity but leaves prompt content visible to the upstream provider.
Example models: GLM 5.3, Kimi K3, Venice Uncensored 1.2
Full Venice profile
Particle.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 Venice or Particle.AI?
Venice
Choose Venice for
- One provider for text and media
- Privacy guarantees on open models
- Larger models beyond Flash class
Particle.AI
Choose Particle.AI for
- Cheap Flash-model calls with cache reads
- A fallback route in Vercel AI Gateway
- Trying new Flash releases quickly
Venice vs Particle.AI at a glance
| Attribute | Venice |  Particle.AI |
|---|---|---|
| Model access | Open weights, plus proxied closed models | Open weights |
| Flagship models | GLM 5.3, Kimi K3, DeepSeek V4 Pro | DeepSeek V4.1 Flash, GLM 5.3 Flash |
| Speed | Unknown | ~157 tok/s on DeepSeek V4.1 Flash |
| Price | $0.06–$12 in, $0.28–$60 out per 1M; DIEM staking | $0.10 in, $0.40 out (GLM 5.3 Flash) |
| Customization | Unknown | Unknown |
| Deployment | Serverless API, consumer app | Via Vercel AI Gateway |
| Long context | 1M on most current models | 1M |
Frequently asked questions
What is the difference between Venice and Particle.AI?
Particle.AI serves a handful of cheap Flash-class open models with 1M context through Vercel AI Gateway. Venice offers many of the same model families plus privacy tiers.
When should I choose Venice over Particle.AI?
One provider for text and media; Privacy guarantees on open models; Larger models beyond Flash class.
When should I choose Particle.AI over Venice?
Cheap Flash-model calls with cache reads; A fallback route in Vercel AI Gateway; Trying new Flash releases quickly.
Is Venice or Particle.AI cheaper?
Venice: $0.06–$12 in, $0.28–$60 out per 1M; DIEM staking. 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, Venice or Particle.AI?
Venice: 1M on most current models. Particle.AI: 1M.
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