Amazon Bedrock vs OpenScale

Amazon Bedrock puts Claude, GPT and open models inside AWS security controls. OpenScale sells DeepSeek V4.1 Flash cheaply with no cloud contract.

By The Subconscious Team · Updated October 11, 2026

Amazon Bedrock vs OpenScale: key differences

Bedrock reaches 100+ models from 18+ providers through one API, with IAM, PrivateLink, KMS and CloudTrail on every call, plus fine-tuning, Guardrails and the AgentCore agent runtime. Third-party analyses put many models 20 to 35% above direct prices. OpenScale serves DeepSeek V4.1 Flash at $0.06 in and $0.24 out under a 50% promotion, from a single Singapore datacenter, with zero retention on Chat Completions and Messages.

Bedrock is the pick for regulated companies that need models inside an existing AWS compliance posture. OpenScale is the pick for cost-first coding and agent traffic where one open model is enough and procurement is a credit card.

What Amazon Bedrock and OpenScale 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 profile

OpenScale

OpenScale is a Y Combinator-backed inference API built by LatentSpace and run out of Singapore. It sells open models behind one endpoint that speaks Chat Completions, the OpenAI Responses API and Anthropic Messages, so Claude Code, Codex, OpenCode, Cline, GitHub Copilot, Zed and other coding agents can point at it with a base URL and key. Its public catalog today is DeepSeek V4.1 Flash in two versions, standard and fast, both with a 1M token context window and up to 384K output tokens.

Example models: DeepSeek V4.1 Flash

Full OpenScale profile

Should you choose Amazon Bedrock or OpenScale?

Amazon Bedrock

Choose Amazon Bedrock for

Regulated enterprises already on AWS
Multi-model agents with governed tools
Fine-tuning and Custom Model Import

OpenScale

Choose OpenScale for

The lowest price on DeepSeek V4.1 Flash
Developers paying with prepaid credits
Coding agents outside a cloud account

Amazon Bedrock vs OpenScale at a glance

Attribute	Amazon Bedrock	OpenScale
Model access	Closed and open, 100+ models	Open weights
Flagship models	Claude, GPT-6 Astra, Nova, DeepSeek	DeepSeek V4.1 Flash
Speed	Latency-optimized option on some models	200+ tok/s; fast tier ~2x
Price	~20–35% above direct; Claude and GPT at parity	$0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash)
Customization	Fine-tuning, Custom Model Import	N/A
Deployment	Managed on AWS, AgentCore	Serverless API
Long context	Varies by model	1M context

Frequently asked questions

What is the difference between Amazon Bedrock and OpenScale?

Amazon Bedrock puts Claude, GPT and open models inside AWS security controls. OpenScale sells DeepSeek V4.1 Flash cheaply with no cloud contract.

When should I choose Amazon Bedrock over OpenScale?

Regulated enterprises already on AWS; Multi-model agents with governed tools; Fine-tuning and Custom Model Import.

When should I choose OpenScale over Amazon Bedrock?

The lowest price on DeepSeek V4.1 Flash; Developers paying with prepaid credits; Coding agents outside a cloud account.

Is Amazon Bedrock or OpenScale cheaper?

Amazon Bedrock: ~20–35% above direct; Claude and GPT at parity. OpenScale: $0.06 in, $0.24 out (promo, DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.

Which has more context, Amazon Bedrock or OpenScale?

Amazon Bedrock: Varies by model. OpenScale: 1M context.

Related comparisons

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.

Subconscious vs Amazon Bedrock Subconscious vs OpenScale