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Amazon Bedrock vs Particle.AI
Particle.AI serves a few cheap Flash-class models with 1M context through Vercel AI Gateway. Bedrock serves 100+ models under AWS governance. A price route versus a control plane.
By The Subconscious Team · Updated
Amazon Bedrock vs Particle.AI: key differences
Particle.AI is an early San Francisco startup whose product shows up mainly on Vercel AI Gateway. It lists DeepSeek V4.1 Flash at $0.25 in and $1 out, 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 1M context and $0.03 cache reads. Bedrock, running since 2023, carries 100+ models from 18+ providers, including DeepSeek, all wrapped in IAM, PrivateLink, KMS encryption and CloudTrail logging. Public detail on its funding and founders is thin.
Particle makes sense as a cheap high-volume route or a fallback inside a multi-provider gateway, and it needs no new contract. Its drawbacks are a tiny catalog, little public track record and latency like 3.5 seconds on some DeepSeek V4.1 Flash listings. Bedrock suits production workloads where governance, closed models and managed tooling matter more than the last cent per token. Its trade-off runs the other way, with most models priced 20 to 35% above direct.
What Amazon Bedrock and Particle.AI do
Amazon Bedrock
Amazon Bedrock is AWS's managed model service and has become the default AI control plane for many enterprises. One API reaches 100+ models from 18+ providers, including Anthropic's Claude family, Meta, Mistral, DeepSeek, Amazon's own Nova models, and, since an April 2026 partnership expansion, OpenAI models up to GPT-6 Astra. Switching models is usually just a new model ID. Every call inherits IAM, PrivateLink, KMS encryption and CloudTrail logging, and provider models never train on customer data.
Example models: Claude Opus, GPT-6 Astra
Full Amazon Bedrock 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 Amazon Bedrock or Particle.AI?
Amazon Bedrock
Choose Amazon Bedrock for
- Production agents under AWS governance.
- Closed frontier models next to open ones.
- Managed RAG and agent tooling.
Particle.AI
Choose Particle.AI for
- Cheap Flash-model calls with 1M context.
- A fallback route in Vercel AI Gateway.
- Trying a new provider with no contract.
Amazon Bedrock vs Particle.AI at a glance
| Attribute | Amazon Bedrock |  Particle.AI |
|---|---|---|
| Model access | Closed and open, 100+ models | Open weights |
| Flagship models | Claude, GPT-6 Astra, Nova, DeepSeek | DeepSeek V4.1 Flash, GLM 5.3 Flash |
| Speed | Latency-optimized option on some models | ~157 tok/s on DeepSeek V4.1 Flash |
| Price | ~20–35% above direct; Claude at parity | $0.10 in, $0.40 out (GLM 5.3 Flash) |
| Customization | Fine-tuning, Custom Model Import | Unknown |
| Deployment | Managed on AWS, AgentCore | Via Vercel AI Gateway |
| Long context | Varies by model | 1M |
Frequently asked questions
What is the difference between Amazon Bedrock and Particle.AI?
Particle.AI serves a few cheap Flash-class models with 1M context through Vercel AI Gateway. Bedrock serves 100+ models under AWS governance. A price route versus a control plane.
When should I choose Amazon Bedrock over Particle.AI?
Production agents under AWS governance; Closed frontier models next to open ones; Managed RAG and agent tooling.
When should I choose Particle.AI over Amazon Bedrock?
Cheap Flash-model calls with 1M context; A fallback route in Vercel AI Gateway; Trying a new provider with no contract.
Is Amazon Bedrock or Particle.AI cheaper?
Amazon Bedrock: ~20–35% above direct; Claude at parity. 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, Amazon Bedrock or Particle.AI?
Amazon Bedrock: Varies by model. 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.