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Compare GPU and LLM inference API pricing between Amazon AWS and Cerebras. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Amazon AWS Price | Cerebras Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 9/6/2026 ★Best Price Not Available | ||||
H100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 9/6/2026 ★Best Price Not Available | ||||
H200 141GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 9/6/2026 ★Best Price Not Available | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWS | Not Available | — | ||
L40S 48GB VRAM • | ||||
Tesla T4 16GB VRAM • Amazon AWS | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
A10 24GB VRAM • Amazon AWS | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
A100 SXM 80GB VRAM • $2.74/hour 8x GPU configuration Updated: 9/6/2026 ★Best Price Not Available | ||||
H100 SXM 80GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H100 SXM 80GB VRAM • $6.88/hour 8x GPU configuration Updated: 9/6/2026 ★Best Price Not Available | ||||
H200 141GB VRAM • Amazon AWS | 8x GPU | Not Available | — | |
H200 141GB VRAM • $7.91/hour 8x GPU configuration Updated: 9/6/2026 ★Best Price Not Available | ||||
L4 24GB VRAM • Amazon AWS | Not Available | — | ||
L4 24GB VRAM • | ||||
L40S 48GB VRAM • Amazon AWS | Not Available | — | ||
L40S 48GB VRAM • | ||||
Tesla T4 16GB VRAM • Amazon AWS | Not Available | — | ||
Tesla T4 16GB VRAM • | ||||
| Model ↑ | Amazon AWS | Cerebras | Input Diff ↕ |
|---|---|---|---|
Anthropic | $0.250 in $1.25 out | Not available | — |
Anthropic | $0.800 in $4.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
Anthropic | $3.00 in $15.00 out | Not available | — |
Anthropic | $1.10 in $5.50 out | Not available | — |
Anthropic | $15.00 in $75.00 out | Not available | — |
Anthropic | $5.50 in $27.50 out | Not available | — |
Anthropic | $5.50 in $27.50 out | Not available | — |
Anthropic | $3.30 in $16.50 out | Not available | — |
DeepSeek | $0.620 in $1.85 out | Not available | — |
Google | $0.090 in $0.290 out | Not available | — |
Google | $0.230 in $0.380 out | Not available | — |
Google | $0.040 in $0.080 out | Not available | — |
Zhipu | $0.070 in $0.400 out | Not available | — |
Zhipu | $0.600 in $2.20 out | Not available | — |
Explore how these providers compare to other popular GPU cloud services
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Compare Amazon AWS with another leading provider
Extensive network of data centers across multiple regions worldwide
Flexible pricing model with no upfront commitments required
Comprehensive security tools and compliance certifications
Automatically adjust resources based on demand
Extensive ecosystem of services that work seamlessly together
Comprehensive suite of tools for development, deployment, and management
Models run on the Cerebras Wafer-Scale Engine, which keeps model weights in on-chip SRAM to reach published speeds in the thousands of tokens per second
Chat Completions and Completions endpoints at api.cerebras.ai/v1, usable from the OpenAI SDKs or the Cerebras Python and TypeScript SDKs
Public endpoints serve unmodified open-weight models such as OpenAI GPT OSS and Qwen, with a documented policy of no pruning on hosted models
Configurable reasoning effort, streaming, structured outputs, parallel tool calling, and prompt caching across the catalog
Vision-capable models accept PNG and JPEG images alongside text
Private, provisioned endpoints on reserved capacity with fine-tuning, weight management, and additional model families, arranged through sales
Virtual servers in the cloud with a wide range of instance types.
Fully managed container orchestration service.
Managed Kubernetes service for container orchestration.
Pay for compute capacity by the second with no long-term commitments.
Use spare EC2 capacity at up to 90% off the On-Demand price.
Save up to 72% compared to On-Demand pricing with a 1 or 3-year commitment.
Save up to 72% on compute usage with a 1 or 3-year commitment to a consistent amount of usage.
Reserve accelerated compute capacity for a future start date and a defined duration; billed as an upfront reservation fee plus an operating system fee.
Time-limited credits granted on signup, with lower rate limits and context windows than paid tiers
Prepaid credits billed per million input and output tokens at published per-model rates
Reserved capacity, higher rate limits, and additional models on custom terms through sales
Create an AWS account to access the cloud platform.
Select from EC2, Lambda, or container services based on your workload needs.
Configure and launch your first compute instance or container.
Configure security groups and access controls for your resources.
Use AWS CloudWatch and Compute Optimizer to monitor performance and reduce costs.
Sign up at cloud.cerebras.ai and add a payment method to activate the free trial
Generate a key from the Cloud Console
pip install cerebras_cloud_sdk or npm install @cerebras/cerebras_cloud_sdk, or use the OpenAI SDK pointed at api.cerebras.ai/v1
Call chat completions with a model ID from the catalog, such as gpt-oss-120b
39 geographic regions and 123 availability zones worldwide.
Basic (free), Developer, Business, Enterprise support plans with varying response times and features. Extensive documentation, forums, and training resources.
Cerebras-operated data centers in North America, with expansion into Europe; no region selection on the public API
Documentation and API reference, model-specific guides, Cloud Console usage monitoring, Discord community, and enterprise support for dedicated customers