Simulating realistic Data extraction & tagging parameters (2,000 in / 250 out with 20% cache reuse). Cerebras — GPT OSS 120B delivers a 87% cost reduction over Cohere Command A+.
| Traffic Volume Tier | Cohere Command A+ Monthly | Cerebras — GPT OSS 120B Monthly | Monthly Savings by picking Cerebras — GPT OSS 120B |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $6.60 | $0.8875 | Save $5.713 / mo |
| 10,000 reqs/mo (Small App) | $66.00 | $8.875 | Save $57.125 / mo |
| 100,000 reqs/mo (Growth Production) | $660.00 | $88.75 | Save $571.25 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $6,600.00 | $887.50 | Save $5,712.50 / mo |
Cerebras — GPT OSS 120B is 87% cheaper for Data extraction & tagging workloads. At standard Data extraction & tagging parameter ratios (2,000 input tokens, 250 output tokens, 20% cache hit), Cerebras — GPT OSS 120B costs $0.000887 per request compared to $0.0066 on Cohere Command A+.
Cohere Command A+ offers a context window of 128,000 tokens (max output: 8,192), while Cerebras — GPT OSS 120B offers 128,000 tokens (max output: 8,192).
At 100,000 requests per month, using Cerebras — GPT OSS 120B saves $571.25 every month (or $6,855.00 annually) compared to Cohere Command A+.
Volume makes nano-tier models attractive — extraction rarely needs frontier reasoning. Constrain output with JSON schema modes to avoid retry loops on malformed responses. Cache shared schema instructions and few-shot examples across calls.