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Amazon Bedrock vs Boundless
Bedrock wraps 100+ models in AWS security controls. Boundless resells GPT and Claude beside open models and runs tuned reserved capacity under contract.
By The Subconscious Team · Updated
Amazon Bedrock vs Boundless: key differences
Amazon Bedrock reaches 100+ models from 18+ providers through one API, including Claude, the GPT-6 family, Nova and DeepSeek, with IAM, PrivateLink, KMS and CloudTrail on every call. Claude and OpenAI models sit at direct-API prices, and provisioned throughput runs 20 to 40% off on a one or six month commitment. Boundless also resells Claude and GPT, with Claude Opus 5.5 at Anthropic's list price of $4 in and $20 out per million tokens. Its open models cost $0.04–$2.30 in and $0.21–$11.40 out, and its tailored tier reserves capacity with uptime, throughput and latency targets in the contract.
Bedrock is the pick for regulated enterprises on AWS that need frontier models inside their existing compliance posture, plus Guardrails, Knowledge Bases, fine-tuning and AgentCore. Boundless fits startups that want a partner to choose an open model on their own evals and run it, and its free two-week evaluation tests that against the current provider on real traffic. It keeps zero data retention but publishes no benchmarks, customers or founding team.
What Amazon Bedrock and Boundless 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 up to Fable 5.1, Meta, Mistral, DeepSeek, Amazon's own Nova models, and, since a June 2026 launch under an expanded partnership, OpenAI models including the full GPT-6 family from Astra to Luna. 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 Fable 5.1, GPT-6 Astra
Full Amazon Bedrock profileBoundless
Boundless launched in September 2026 as an inference partner for AI-native startups. It sells two things. The Model API serves pre-tuned models on shared capacity, billed per token from prepaid credits with a budget per API key. Tailored inference reserves capacity for one customer, and Boundless engineers pick the model on the customer’s own evals, tune precision, batching, caching, speculative decoding and parallelism, then run the deployment against uptime, throughput and latency targets written into the contract. A free two-week evaluation tests those targets on real traffic against the customer’s current provider first.
Example models: GLM-5.3, DeepSeek V4.1 Flash, Kimi K3
Full Boundless profileShould you choose Amazon Bedrock or Boundless?
Amazon Bedrock
Choose Amazon Bedrock for
- Regulated enterprises already on AWS
- Fine-tuning and Custom Model Import
- Governed agents on AgentCore
Boundless
Choose Boundless for
- An open model chosen on your evals
- Contracted throughput and latency targets
- GPT and Claude beside open models
Amazon Bedrock vs Boundless at a glance
| Attribute | Amazon Bedrock | Boundless |
|---|---|---|
| Model access | Closed and open, 100+ models | Open weights, plus closed GPT and Claude |
| Flagship models | Claude, GPT-6 Astra, Nova, DeepSeek | GLM-5.3, DeepSeek V4.1 Flash, Kimi K3 |
| Speed | Latency-optimized option on some models | 342 tok/s on DeepSeek V4.1 Flash 1017 (Vercel) |
| Price | ~20–35% above direct; Claude and GPT at parity | $0.04–$2.30 in, $0.21–$11.40 out per 1M (open) |
| Customization | Fine-tuning, Custom Model Import | Serving-stack tuning, no fine-tuning |
| Deployment | Managed on AWS, AgentCore | Serverless API, reserved tailored capacity |
| Long context | Varies by model | 1M context on most models |
Frequently asked questions
What is the difference between Amazon Bedrock and Boundless?
Bedrock wraps 100+ models in AWS security controls. Boundless resells GPT and Claude beside open models and runs tuned reserved capacity under contract.
When should I choose Amazon Bedrock over Boundless?
Regulated enterprises already on AWS; Fine-tuning and Custom Model Import; Governed agents on AgentCore.
When should I choose Boundless over Amazon Bedrock?
An open model chosen on your evals; Contracted throughput and latency targets; GPT and Claude beside open models.
Is Amazon Bedrock or Boundless cheaper?
Amazon Bedrock: ~20–35% above direct; Claude and GPT at parity. Boundless: $0.04–$2.30 in, $0.21–$11.40 out per 1M (open). The cheaper choice depends on the model and workload.
Which has more context, Amazon Bedrock or Boundless?
Amazon Bedrock: Varies by model. Boundless: 1M context on most models.
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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.