Choosing between AWS Bedrock and OpenAI's API isn't just about model quality — it's about total cost of ownership, pricing structure, and how each platform scales at production volumes.
Bedrock gives you multi-model access (Claude, Llama, Mistral, Titan) through your existing AWS account with no separate vendor relationship. OpenAI gives you GPT-4o and o1 with arguably the largest developer ecosystem. Both charge per-token, but Bedrock offers provisioned throughput for predictable high-volume pricing while OpenAI offers batch API discounts.
TL;DR: Per-token, GPT-4o is slightly cheaper than Claude 3.5 Sonnet on Bedrock ($2.50/$10 vs $3/$15 per million tokens). But Bedrock offers provisioned throughput (up to 50% savings at scale), multi-model flexibility, and stays within your AWS security perimeter. OpenAI offers batch API (50% off) and simpler integration. Total cost depends on volume, latency requirements, and your existing infrastructure.
Per-Token Price Comparison
Flagship Models
| Model | Platform | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|---|
| Claude 3.5 Sonnet | Bedrock | $3.00 | $15.00 |
| GPT-4o | OpenAI | $2.50 | $10.00 |
| Claude 3 Opus | Bedrock | $15.00 | $75.00 |
| o1 | OpenAI | $15.00 | $60.00 |
Budget Models
| Model | Platform | Input (per 1M tokens) | Output (per 1M tokens) |
|---|---|---|---|
| Claude 3.5 Haiku | Bedrock | $1.00 | $5.00 |
| GPT-4o-mini | OpenAI | $0.15 | $0.60 |
| Llama 3.1 70B | Bedrock | $0.72 | $0.72 |
| Mistral Large | Bedrock | $2.00 | $6.00 |
Key insight: GPT-4o-mini is dramatically cheaper than any Bedrock budget model for simple tasks. But Bedrock's multi-model access means you can route different tasks to different models — complex analysis to Claude Sonnet, simple extraction to Llama 70B.
Volume Pricing and Discounts
Bedrock: Provisioned Throughput
For consistent, high-volume workloads, Bedrock offers Provisioned Throughput — a reserved capacity model:
| Commitment | Discount vs On-Demand |
|---|---|
| No commitment | On-demand pricing |
| 1-month | ~30% savings |
| 6-month | ~40% savings |
Provisioned Throughput is priced per model unit, giving you guaranteed token processing capacity. It makes sense when you're spending $5,000+/month on a single model.
OpenAI: Batch API
OpenAI's Batch API processes requests asynchronously (within 24 hours) at 50% off:
| Model | Standard (per 1M output) | Batch (per 1M output) |
|---|---|---|
| GPT-4o | $10.00 | $5.00 |
| GPT-4o-mini | $0.60 | $0.30 |
Batch works for non-real-time tasks: document processing, data enrichment, content generation, analysis pipelines.
Total Cost of Ownership
Per-token pricing doesn't tell the whole story. Consider the full cost:
| Factor | AWS Bedrock | OpenAI API |
|---|---|---|
| Per-token cost | Slightly higher for flagships | Slightly lower for flagships |
| Volume discounts | Provisioned Throughput (30-40%) | Batch API (50%) |
| Data residency | Stays in your AWS region | Data sent to OpenAI |
| Authentication | IAM — existing AWS auth | Separate API keys |
| Networking | VPC endpoints, no internet egress | Internet call required |
| Model choice | Claude, Llama, Mistral, Titan, Cohere | GPT-4o, o1, DALL-E, Whisper |
| Fine-tuning | Custom model import, fine-tuning | Fine-tuning for GPT-4o-mini |
| Compliance | HIPAA, SOC2, FedRAMP through AWS | SOC2, separate BAA |
When Bedrock is Cheaper Overall
- Already on AWS — No additional vendor, no data egress, IAM integration
- Multi-model strategy — Route tasks to cheapest capable model (Llama for simple, Claude for complex)
- Predictable high volume — Provisioned Throughput at 30-40% off beats on-demand
- Compliance-heavy — Data never leaves your VPC
When OpenAI is Cheaper Overall
- Batch-heavy workloads — 50% off batch pricing beats Bedrock's volume discounts
- GPT-4o-mini at scale — $0.15/$0.60 per million tokens is hard to beat
- Simple integration — Direct API, no AWS infrastructure needed
- Audio/image generation — Whisper, DALL-E have no direct Bedrock equivalent
Real-World Cost Examples
Customer Support Bot (10K conversations/day)
| Metric | Bedrock (Claude Sonnet) | OpenAI (GPT-4o) |
|---|---|---|
| Input tokens/month | 150M | 150M |
| Output tokens/month | 50M | 50M |
| Input cost | $450 | $375 |
| Output cost | $750 | $500 |
| Monthly total | $1,200 | $875 |
With Bedrock Provisioned Throughput: ~$840/month (30% off). With OpenAI Batch API (if async is acceptable): ~$437/month.
Document Processing Pipeline (50K docs/day)
| Metric | Bedrock (Llama 3.1 70B) | OpenAI (GPT-4o-mini) |
|---|---|---|
| Input tokens/month | 500M | 500M |
| Output tokens/month | 100M | 100M |
| Input cost | $360 | $75 |
| Output cost | $72 | $60 |
| Monthly total | $432 | $135 |
For high-volume, lower-complexity tasks, GPT-4o-mini is significantly cheaper. But if data residency matters, Bedrock with Llama keeps everything in your VPC.
Related Guides
- AWS Bedrock Pricing Guide
- AWS Bedrock LLM Models Guide
- AI Cost Optimization Guide
- AWS Bedrock Cost Optimization Guide
Frequently Asked Questions
Is AWS Bedrock cheaper than OpenAI?
It depends on the model and volume. Per-token, GPT-4o is slightly cheaper than Claude 3.5 Sonnet. But Bedrock's Provisioned Throughput (30-40% off) can be cheaper at scale. Bedrock also eliminates data egress costs and separate vendor management. Compare total cost, not just per-token pricing.
Can I use OpenAI models on Bedrock?
No. Bedrock offers Anthropic (Claude), Meta (Llama), Mistral, Amazon (Titan), and Cohere models. OpenAI models (GPT-4o, o1) are only available through OpenAI's API or Azure OpenAI Service.
Which is better for production: Bedrock or OpenAI?
For AWS-native organizations, Bedrock is typically better for production: it uses IAM authentication, stays within your VPC (see the Bedrock user guide), supports AWS compliance certifications, and integrates with CloudWatch for monitoring. OpenAI is simpler to prototype with but requires additional security and compliance work for production.
Choose Based on Your Stack
Both platforms deliver excellent AI capabilities. The choice is primarily about infrastructure fit:
- AWS-first organizations → Bedrock. Same account, same security, same compliance.
- Batch processing at scale → OpenAI Batch API for 50% savings on async workloads.
- Multi-model flexibility → Bedrock. Route tasks to the cheapest capable model.
- Budget-sensitive, simple tasks → GPT-4o-mini at $0.15/M input tokens.
Lower Your Bedrock Costs with Wring
Wring helps you access AWS credits and volume discounts to lower your Bedrock costs. Through group buying power, Wring negotiates better rates so you pay less per model inference.
