Amazon Bedrock vs Fireworks AI

Bedrock brings closed and open models under AWS controls. Fireworks sells fast open-model inference and deep post-training, with SOC 2, HIPAA and AWS marketplace billing. Breadth and governance versus speed.

By The Subconscious Team · Updated September 30, 2026

Amazon Bedrock vs Fireworks AI: key differences

Fireworks competes on speed and post-training. Third-party measurements put it at 167 to 174 tokens per second on DeepSeek V4 Pro, several times most GPU peers, and it serves the full 1M context on that model. It offers SFT, DPO and reinforcement fine-tuning, and fine-tuned models serve at the base model's price. Bedrock competes on reach and control: 100+ models including Claude and GPT-6 Astra, IAM and KMS on every call, and a managed agent platform in AgentCore. Fireworks also reports a $1B+ run rate and 40T+ tokens a day.

Fireworks narrows the compliance gap more than most open-model hosts, with SOC 2, HIPAA and ISO certifications plus billing through the AWS and GCP marketplaces. That lets an AWS shop buy it without a new procurement path. Bedrock still wins when the stack needs closed frontier models, Guardrails, Knowledge Bases or CloudTrail on every request. Fireworks wins on latency-sensitive open-model traffic and on RL fine-tuning. Watch Fireworks' dedicated GPU rates, which rose to $8 an hour for an H100 on September 1, 2026.

What Amazon Bedrock and Fireworks AI 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 profile

Fireworks AI

Fireworks AI was founded in 2022 by former Meta PyTorch engineers led by CEO Lin Qiao, and it sells speed on open models. Its custom serving stack has posted 167 to 174 tokens per second on DeepSeek V4 Pro in third-party measurements, several times what most GPU peers hit on the same model. The catalog holds 400+ models across text, vision, audio and embeddings, served through an OpenAI-compatible API. In July 2026 it raised a $1.505B Series D at a $17.5B valuation, with a reported $1B+ run rate and 40T+ tokens a day.

Example models: DeepSeek V4 Pro, Kimi K3

Full Fireworks AI profile

Should you choose Amazon Bedrock or Fireworks AI?

Amazon Bedrock

Choose Amazon Bedrock for

Mixing Claude, GPT and open models behind one AWS API.
Agents needing Guardrails, memory and Cedar policies.
Audit trails through CloudTrail on every call.

Fireworks AI

Choose Fireworks AI for

The fastest GPU-based throughput on popular open models.
Reinforcement fine-tuning with no serving markup.
Full 1M context on DeepSeek V4 Pro.

Amazon Bedrock vs Fireworks AI at a glance

Attribute	Amazon Bedrock	Fireworks AI
Model access	Closed and open, 100+ models	Open weights
Flagship models	Claude, GPT-6 Astra, Nova, DeepSeek	DeepSeek V4 Pro, Kimi K3
Speed	Latency-optimized option on some models	167–174 tok/s on DeepSeek V4 Pro
Price	~20–35% above direct; Claude at parity	Fine-tunes served at base price
Customization	Fine-tuning, Custom Model Import	SFT, DPO, RFT; Training API
Deployment	Managed on AWS, AgentCore	Serverless, dedicated GPUs
Long context	Varies by model	Full 1M on DeepSeek V4 Pro

Frequently asked questions

What is the difference between Amazon Bedrock and Fireworks AI?

When should I choose Amazon Bedrock over Fireworks AI?

Mixing Claude, GPT and open models behind one AWS API; Agents needing Guardrails, memory and Cedar policies; Audit trails through CloudTrail on every call.

When should I choose Fireworks AI over Amazon Bedrock?

The fastest GPU-based throughput on popular open models; Reinforcement fine-tuning with no serving markup; Full 1M context on DeepSeek V4 Pro.

Is Amazon Bedrock or Fireworks AI cheaper?

Amazon Bedrock: ~20–35% above direct; Claude at parity. Fireworks AI: Fine-tunes served at base price. The cheaper choice depends on the model and workload.

Which has more context, Amazon Bedrock or Fireworks AI?

Amazon Bedrock: Varies by model. Fireworks AI: Full 1M on DeepSeek V4 Pro.

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 Fireworks AI