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Amazon Bedrock vs General Compute
Bedrock puts 100+ closed and open models inside AWS security controls. General Compute is a small inference cloud built on ASIC decode.
By The Subconscious Team · Updated
Amazon Bedrock vs General Compute: 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. It adds Knowledge Bases, Guardrails, fine-tuning and the AgentCore agent runtime. General Compute serves MiniMax M2.7, DeepSeek V3.2, DeepSeek V3.1 and GPT-OSS 120B at $0.21 to $0.28 in and $0.38 to $1.20 out per million tokens. It runs decode on ASICs and reports over 1,000 tokens per second on GPT-OSS 120B in its own benchmark.
Bedrock is the pick for regulated enterprises on AWS that want frontier models inside their existing compliance posture. General Compute fits teams chasing decode speed on open models, or buyers who want reserved racks, bare metal or a tokens-per-second SLA. Its API runs in us-west-2 only, and most dedicated capacity goes live in Q1 2027.
What Amazon Bedrock and General Compute 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
General Compute
General Compute is a San Francisco inference cloud built on alternative chips. It splits each request across hardware, with NVIDIA GPUs handling prefill and ASICs from Cerebras, SambaNova, Positron AI and d-Matrix handling decode. In its own open benchmark on GPT-OSS 120B it measured 1,025 to 1,234 output tokens per second against 100 to 121 on an unnamed GPU cloud, and up to 16.2x faster end to end. Founders Finn Puklowski and Jason Goodison raised a $15M seed led by FUSE, an up to $400M debt facility from Upper90 and, on October 27, 2026, a $100M Series A co-led by Blackbird and Abstract.
Example models: MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B
Full General Compute profileShould you choose Amazon Bedrock or General Compute?
Amazon Bedrock
Choose Amazon Bedrock for
- Regulated enterprises already on AWS
- Claude and GPT under one AWS bill
- Governed agents on AgentCore
General Compute
Choose General Compute for
- Fast open-model decode
- Low per-token prices
- Bring-your-own LoRA checkpoints
Amazon Bedrock vs General Compute at a glance
| Attribute | Amazon Bedrock |  General Compute |
|---|---|---|
| Model access | Closed and open, 100+ models | Open weights |
| Flagship models | Claude, GPT-6 Astra, Nova, DeepSeek | MiniMax M2.7, DeepSeek V3.2, GPT-OSS 120B |
| Speed | Latency-optimized option on some models | 1,000+ tok/s on GPT-OSS 120B (vendor) |
| Price | ~20–35% above direct; Claude and GPT at parity | $0.21–$0.28 in, $0.38–$1.20 out per 1M |
| Customization | Fine-tuning, Custom Model Import | Custom LoRA and fine-tuned checkpoints |
| Deployment | Managed on AWS, AgentCore | Serverless API, dedicated racks, bare metal |
| Long context | Varies by model | 192K (MiniMax M2.7) |
Frequently asked questions
What is the difference between Amazon Bedrock and General Compute?
Bedrock puts 100+ closed and open models inside AWS security controls. General Compute is a small inference cloud built on ASIC decode.
When should I choose Amazon Bedrock over General Compute?
Regulated enterprises already on AWS; Claude and GPT under one AWS bill; Governed agents on AgentCore.
When should I choose General Compute over Amazon Bedrock?
Fast open-model decode; Low per-token prices; Bring-your-own LoRA checkpoints.
Is Amazon Bedrock or General Compute cheaper?
Amazon Bedrock: ~20–35% above direct; Claude and GPT at parity. General Compute: $0.21–$0.28 in, $0.38–$1.20 out per 1M. The cheaper choice depends on the model and workload.
Which has more context, Amazon Bedrock or General Compute?
Amazon Bedrock: Varies by model. General Compute: 192K (MiniMax M2.7).
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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.