Compute Comparison
vs
All providers →

Cerebras vs DigitalOcean Gradient AI: Token Pricing, Speed & Intelligence

Full comparison of Cerebras and DigitalOcean Gradient AI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.

Cerebras

CS-4 wafer-scale — high-throughput inference on GPT OSS 120B and Qwen 3.8 27B

Cerebras uses wafer-scale silicon (the CS-4 chip) to deliver high-throughput inference significantly faster than conventional GPU systems. The Developer tier provides self-serve access; Enterprise tier adds production capacity, custom model weights, fine-tuning, and dedicated support. Available on AWS Marketplace, OpenRouter, HuggingFace, and Vercel. Check cerebras.ai/pricing for current rates and any free-credit offers.

Voice AIReal-time chatSpeedInteractive codingStreamingAgentic workflows
Open-weight hostHosts open weights

DigitalOcean Gradient AI

Serverless inference on Gradient AI — Claude, GPT-5, DeepSeek V4, Kimi K2.6, Qwen 3.5, Llama 4

DigitalOcean Gradient AI is the serverless LLM inference platform from DigitalOcean, offering access to frontier and open-weight models including Claude Sonnet 4.6, Claude Haiku 4.5, Claude Opus 4.7, GPT-5.4, GPT-5.4 mini, GPT-5, GPT-4.1, GPT-4o, gpt-oss-120b, gpt-oss-20b, DeepSeek V4 Pro/Flash, Kimi K2.6, GLM-5.1, Qwen 3.5 397B A17B, Llama 4 Maverick, and MiMo V2.5 Pro. Pricing is published at docs.digitalocean.com/products/gradient-ai-platform/details/pricing.

ChatCodingReasoningOpen-sourceCost-efficiencyAgents
Open-weight hostHosts open weights

Key metric comparison

Cheapest input ($/1M)

—

—

Cheapest output ($/1M)

—

—

Peak throughput

—

—

Best latency (TTFT)

—

—

Intelligence score

—

—

Context window

—

—

Live token pricing

Strengths and weaknesses

Cerebras

GPT OSS 120B: high-throughput inference on CS-4 wafer-scale silicon
Qwen 3.8 27B: fast efficient-tier inference
CS-4 chip: 58× larger than GPUs, purpose-built for AI inference
Significantly faster than conventional GPU inference — enables interactive use cases
Self-serve Developer tier — check cerebras.ai for current signup offers
Available on AWS Marketplace, OpenRouter, HuggingFace, and Vercel
Limited model selection vs. Together AI or Fireworks
No vision or multimodal support
No fine-tuning on Developer tier

DigitalOcean Gradient AI

Frontier model access: Claude Opus 4.7, GPT-5.4, GPT-5 via serverless inference
Broad catalog: Claude, GPT, DeepSeek V4, Kimi K2.6, Qwen 3.5, Llama 4 Maverick
DigitalOcean's developer-friendly platform and billing
OpenAI-compatible API
Competitive pricing on open-weight models
Resells frontier models — no proprietary models
Pricing may be higher than direct provider APIs for frontier models
Newer inference platform — less mature than dedicated inference providers

Key differentiators

Cerebras

Cerebras CS-4 wafer-scale silicon delivers high-throughput inference on GPT OSS 120B and Qwen 3.8 27B — significantly faster than conventional GPU systems, enabling real-time agentic workflows and interactive AI.

DigitalOcean Gradient AI

DigitalOcean's developer-friendly platform extended to LLM inference — frontier models (Claude, GPT-5) alongside open-weight models (DeepSeek V4, Kimi K2.6, Llama 4) under one billing account.

Frequently asked questions

Cerebras FAQs

How fast is Cerebras inference?

Cerebras delivers significantly higher throughput than conventional GPU-based providers on GPT OSS 120B and Qwen 3.8 27B, enabling real-time agentic workflows and interactive AI applications. Check cerebras.ai for current benchmark figures.

What is the Cerebras CS-4 chip?

The CS-4 is Cerebras's latest wafer-scale chip, 58× larger than a GPU. It provides 900,000+ AI cores and massive on-chip SRAM, eliminating the memory bandwidth bottleneck that limits GPU inference speed.

What models does Cerebras support?

Cerebras supports GPT OSS 120B and Qwen 3.8 27B on the Developer tier. Enterprise adds access to all models including production and preview models. Check cerebras.ai/pricing for current rates.

DigitalOcean Gradient AI FAQs

What is DigitalOcean Gradient AI?

DigitalOcean Gradient AI is DigitalOcean's serverless LLM inference platform, offering frontier and open-weight models including Claude, GPT-5, DeepSeek V4, Kimi K2.6, and Llama 4 Maverick. See docs.digitalocean.com/products/gradient-ai-platform/details/pricing for current rates.

What models does DigitalOcean Gradient AI offer?

The catalog includes Claude Sonnet 4.6, Claude Haiku 4.5, Claude Opus 4.7, GPT-5.4, GPT-5.4 mini, GPT-5, GPT-4.1, GPT-4o, gpt-oss-120b, gpt-oss-20b, DeepSeek V4 Pro/Flash, Kimi K2.6, GLM-5.1, Qwen 3.5 397B A17B, Llama 4 Maverick, and MiMo V2.5 Pro.

How much does DigitalOcean Gradient AI cost?

As of October 2026: Claude Sonnet 4.6 $3/$15, Claude Haiku 4.5 $1/$5, Claude Opus 4.7 $5/$25, GPT-5.4 $2.50/$15, GPT-5.4 mini $0.75/$4.50, GPT-5 $1.25/$10, GPT-4.1 $2/$8, GPT-4o $2.50/$10. See docs.digitalocean.com/products/gradient-ai-platform/details/pricing for current rates.

Provider resources

Cerebras — CS-4 wafer-scale — high-throughput inference on GPT OSS 120B and Qwen 3.8 27B

Cerebras uses wafer-scale silicon (the CS-4 chip) to deliver high-throughput inference significantly faster than conventional GPU systems. The Developer tier provides self-serve access; Enterprise tier adds production capacity, custom model weights, fine-tuning, and dedicated support. Available on AWS Marketplace, OpenRouter, HuggingFace, and Vercel. Check cerebras.ai/pricing for current rates and any free-credit offers.

Cerebras CS-4 wafer-scale silicon delivers high-throughput inference on GPT OSS 120B and Qwen 3.8 27B — significantly faster than conventional GPU systems, enabling real-time agentic workflows and interactive AI.

DigitalOcean Gradient AI — Serverless inference on Gradient AI — Claude, GPT-5, DeepSeek V4, Kimi K2.6, Qwen 3.5, Llama 4

DigitalOcean Gradient AI is the serverless LLM inference platform from DigitalOcean, offering access to frontier and open-weight models including Claude Sonnet 4.6, Claude Haiku 4.5, Claude Opus 4.7, GPT-5.4, GPT-5.4 mini, GPT-5, GPT-4.1, GPT-4o, gpt-oss-120b, gpt-oss-20b, DeepSeek V4 Pro/Flash, Kimi K2.6, GLM-5.1, Qwen 3.5 397B A17B, Llama 4 Maverick, and MiMo V2.5 Pro. Pricing is published at docs.digitalocean.com/products/gradient-ai-platform/details/pricing.

DigitalOcean's developer-friendly platform extended to LLM inference — frontier models (Claude, GPT-5) alongside open-weight models (DeepSeek V4, Kimi K2.6, Llama 4) under one billing account.

Key strengths compared

Cerebras

  • GPT OSS 120B: high-throughput inference on CS-4 wafer-scale silicon
  • Qwen 3.8 27B: fast efficient-tier inference
  • CS-4 chip: 58× larger than GPUs, purpose-built for AI inference
  • Limited model selection vs. Together AI or Fireworks
  • No vision or multimodal support

DigitalOcean Gradient AI

  • Frontier model access: Claude Opus 4.7, GPT-5.4, GPT-5 via serverless inference
  • Broad catalog: Claude, GPT, DeepSeek V4, Kimi K2.6, Qwen 3.5, Llama 4 Maverick
  • DigitalOcean's developer-friendly platform and billing
  • Resells frontier models — no proprietary models
  • Pricing may be higher than direct provider APIs for frontier models

Key weaknesses compared

Cerebras

  • Limited model selection vs. Together AI or Fireworks
  • No vision or multimodal support
  • No fine-tuning on Developer tier

DigitalOcean Gradient AI

  • Resells frontier models — no proprietary models
  • Pricing may be higher than direct provider APIs for frontier models
  • Newer inference platform — less mature than dedicated inference providers

Provider category context

Cerebras is a inference api, founded in 2016. DigitalOcean Gradient AI is a cloud, founded in 2012. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.

How to choose between them

Choose Cerebras if you need gpt oss 120b: high-throughput inference on cs-4 wafer-scale silicon. Choose DigitalOcean Gradient AI if you need frontier model access: claude opus 4.7, gpt-5.4, gpt-5 via serverless inference. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.