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Amazon Bedrock vs Dolphin
Amazon Bedrock is the governed enterprise route to 100+ models. Dolphin is a new decentralized network serving one open model on consumer GPUs.
By The Subconscious Team · Updated
Amazon Bedrock vs Dolphin: key differences
Bedrock wraps Claude, GPT-6 Astra, Nova, DeepSeek and others in IAM, PrivateLink, KMS encryption and CloudTrail logging, with on-demand, batch and provisioned throughput billing. Dolphin's API launched in October 2026 with one model, DeepSeek V4.1 Flash, at $0.01 in and $0.07 out per million, served on idle consumer GPUs. Requests are encrypted end to end and nodes cannot log them, but there is no published speed, context or SLA, and signup runs through a crypto wallet and Telegram.
Bedrock suits regulated enterprises and anything that has to pass procurement. Dolphin suits cost-first background jobs and products that want models without vendor-imposed refusals, where variable latency and uptime are acceptable.
What Amazon Bedrock and Dolphin 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
Dolphin
Dolphin began in 2023 as Eric Hartford's series of open-source, uncensored fine-tunes, trained to drop the refusals and baked-in guidelines of their base models so that the developer sets the rules through the system prompt. Current releases include Dolphin Llama 3.1 8B and Dolphin Mistral 24B Venice Edition, built with Venice, and the project publishes nearly 100 models on Hugging Face. It also runs a chat app, a Telegram bot and a synthetic data service that generates answers to commonly refused prompts.
Example models: DeepSeek V4.1 Flash, Dolphin Mistral 24B
Full Dolphin profileShould you choose Amazon Bedrock or Dolphin?
Amazon Bedrock
Choose Amazon Bedrock for
- Regulated workloads inside AWS
- Claude and GPT under one bill
- Audit trails and governed agents
Dolphin
Choose Dolphin for
- Very cheap DeepSeek V4.1 Flash calls
- Background jobs with loose latency needs
- Models without vendor-imposed refusals
Amazon Bedrock vs Dolphin at a glance
| Attribute | Amazon Bedrock |  Dolphin |
|---|---|---|
| Model access | Closed and open, 100+ models | Open weights, uncensored fine-tunes |
| Flagship models | Claude, GPT-6 Astra, Nova, DeepSeek | DeepSeek V4.1 Flash, Dolphin Mistral 24B |
| Speed | Latency-optimized option on some models | Unknown |
| Price | ~20–35% above direct; Claude and GPT at parity | $0.01 in, $0.07 out (DeepSeek V4.1 Flash) |
| Customization | Fine-tuning, Custom Model Import | Own uncensored fine-tunes |
| Deployment | Managed on AWS, AgentCore | Decentralized serverless API |
| Long context | Varies by model | Unknown |
Frequently asked questions
What is the difference between Amazon Bedrock and Dolphin?
Amazon Bedrock is the governed enterprise route to 100+ models. Dolphin is a new decentralized network serving one open model on consumer GPUs.
When should I choose Amazon Bedrock over Dolphin?
Regulated workloads inside AWS; Claude and GPT under one bill; Audit trails and governed agents.
When should I choose Dolphin over Amazon Bedrock?
Very cheap DeepSeek V4.1 Flash calls; Background jobs with loose latency needs; Models without vendor-imposed refusals.
Is Amazon Bedrock or Dolphin cheaper?
Amazon Bedrock: ~20–35% above direct; Claude and GPT at parity. Dolphin: $0.01 in, $0.07 out (DeepSeek V4.1 Flash). The cheaper choice depends on the model and workload.
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- OpenAI vs Dolphin
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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.