claude-opus-5-5 vs llama-3.3-70b

Anthropic against Cerebras, priced on the same four workloads with price book 2026-10-22.

On real workloads

Workloadclaude-opus-5-5 per callllama-3.3-70b per callMonthly difference
Chat reply
1,500 input and 400 output tokens, 100,000 calls a month
$0.01$0.00176 −$1,224.50
RAG answer, cached context
2,000 fresh + 4,000 cached input, 500 output, 100,000 calls a month
$0.02$0.0057 −$1,310.00
Agent step
4,000 fresh + 8,000 cached input, 800 output, 250,000 calls a month
$0.03$0.01 −$5,610.00
Batch summary
3,000 input and 300 output tokens via the Batch API, 1,000,000 calls a month
$0.009— —

Monthly difference is llama-3.3-70b minus claude-opus-5-5. Batch rows use each provider's Batch API rates where published. Price both on your own workload.

Rates

ModelInputOutputCache readCache writeContext
anthropic/claude-opus-5-5$4.00$20.00$0.20$5.001M
cerebras/llama-3.3-70b$0.85$1.20——128K

Price is one input. Before switching, run your own prompts through both and compare quality; then veqen diff prices the change at your production volume.