Amazon Bedrock vs StepFun
StepFun makes cheap multimodal Step models, many Apache 2.0, served from China. Bedrock serves 100+ models inside AWS security. Low-cost open multimodal versus governed breadth.
By The Subconscious Team · Updated
Amazon Bedrock vs StepFun: key differences
StepFun is a Shanghai lab focused on efficient multimodal models. Step 3.7 Flash is a 198B mixture-of-experts vision-language model with just 11B active, 256K context and Apache 2.0 weights, priced at $0.20 in and $1.15 out on StepFun's own API. Its first-party inference is China-hosted and Western support is thin. Bedrock is AWS's managed model service, with 100+ models from 18+ providers, closed and open, under IAM, PrivateLink, KMS and CloudTrail. Its Step3 model used attention and disaggregation techniques designed to stay cheap on low-end accelerators.
The open license gives teams a route between the two. Step weights run on vLLM and SGLang, and Bedrock's Custom Model Import accepts open-weight checkpoints, which could keep a Step model inside AWS controls. Whether a given Step checkpoint is supported is worth checking. For cheap image and video understanding with no residency concerns, StepFun's API is the lowest-effort option. For regulated workloads or hard multimodal reasoning, where Step trails the frontier, Bedrock's closed models fit better.
What Amazon Bedrock and StepFun 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 profileStepFun
StepFun is a Shanghai AI lab known for efficient multimodal models, with a mix of proprietary API models and open-weight releases. Its current workhorse, Step 3.7 Flash, came out in May 2026 as a 198B mixture-of-experts vision-language model with only 11B active parameters. It has 256K context, selectable reasoning levels, tool use and structured outputs, and it ships under Apache 2.0. StepFun's own API prices it at $0.20 in and $1.15 out per million tokens, and OpenRouter carries it too.
Example models: Step 3.7 Flash, Step3
Full StepFun profileShould you choose Amazon Bedrock or StepFun?
Amazon Bedrock
Choose Amazon Bedrock for
- Regulated multimodal work on frontier closed models.
- Importing open checkpoints under AWS controls.
- Enterprise procurement through AWS.
StepFun
Choose StepFun for
- Cheap vision and video understanding.
- Apache 2.0 weights with 11B active parameters.
- 256K context on a low-cost API.
Amazon Bedrock vs StepFun at a glance
| Attribute | ||
|---|---|---|
| Model access | Closed and open, 100+ models | Open (Apache 2.0) and API models |
| Flagship models | Claude, GPT-6 Astra, Nova, DeepSeek | Step 3.7 Flash, Step3 |
| Speed | Latency-optimized option on some models | ~128 tok/s on Step 3.7 Flash |
| Price | ~20–35% above direct; Claude at parity | $0.20 in, $1.15 out (Step 3.7 Flash) |
| Customization | Fine-tuning, Custom Model Import | Open weights to fine-tune |
| Deployment | Managed on AWS, AgentCore | First-party API, OpenRouter |
| Long context | Varies by model | 256K |
Frequently asked questions
What is the difference between Amazon Bedrock and StepFun?
StepFun makes cheap multimodal Step models, many Apache 2.0, served from China. Bedrock serves 100+ models inside AWS security. Low-cost open multimodal versus governed breadth.
When should I choose Amazon Bedrock over StepFun?
Regulated multimodal work on frontier closed models; Importing open checkpoints under AWS controls; Enterprise procurement through AWS.
When should I choose StepFun over Amazon Bedrock?
Cheap vision and video understanding; Apache 2.0 weights with 11B active parameters; 256K context on a low-cost API.
Is Amazon Bedrock or StepFun cheaper?
Amazon Bedrock: ~20–35% above direct; Claude at parity. StepFun: $0.20 in, $1.15 out (Step 3.7 Flash). The cheaper choice depends on the model and workload.
Which has more context, Amazon Bedrock or StepFun?
Amazon Bedrock: Varies by model. StepFun: 256K.
Related comparisons
Subconscious vs Amazon Bedrock
OpenAI vs Amazon Bedrock
Anthropic vs Amazon Bedrock
Google Vertex AI vs Amazon Bedrock
Amazon Bedrock vs Together AI
Amazon Bedrock vs Fireworks AI
Subconscious vs StepFun
OpenAI vs StepFun
Anthropic vs StepFun
Google Vertex AI vs StepFun
Together AI vs StepFun
Fireworks AI vs StepFun
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.