Simulating realistic Content generation parameters (800 in / 1,200 out with 30% cache reuse). GLM-5V-Turbo (Z.ai) delivers a 61% cost reduction over Cohere Command R+.
| Traffic Volume Tier | Cohere Command R+ Monthly | GLM-5V-Turbo (Z.ai) Monthly | Monthly Savings by picking GLM-5V-Turbo (Z.ai) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $14.00 | $5.53 | Save $8.47 / mo |
| 10,000 reqs/mo (Small App) | $140.00 | $55.296 | Save $84.704 / mo |
| 100,000 reqs/mo (Growth Production) | $1,400.00 | $552.96 | Save $847.04 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $14,000.00 | $5,529.60 | Save $8,470.40 / mo |
GLM-5V-Turbo (Z.ai) is 61% cheaper for Content generation workloads. At standard Content generation parameter ratios (800 input tokens, 1,200 output tokens, 30% cache hit), GLM-5V-Turbo (Z.ai) costs $0.00553 per request compared to $0.014 on Cohere Command R+.
Cohere Command R+ offers a context window of 128,000 tokens (max output: 4,096), while GLM-5V-Turbo (Z.ai) offers 200,000 tokens (max output: 131,072).
At 100,000 requests per month, using GLM-5V-Turbo (Z.ai) saves $847.04 every month (or $10,164.48 annually) compared to Cohere Command R+.
Output-heavy workloads favor models with a low output price, not a low input price. Batch similar generation tasks with shared style prompts to exploit caching. Draft with a cheap tier, refine the winners with a premium model.