Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). Cerebras — Gemma 4 31B delivers a 77% cost reduction over Perplexity Sonar Pro.
| Traffic Volume Tier | Perplexity Sonar Pro Monthly | Cerebras — Gemma 4 31B Monthly | Monthly Savings by picking Cerebras — Gemma 4 31B |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $66.00 | $14.86 | Save $51.14 / mo |
| 10,000 reqs/mo (Small App) | $660.00 | $148.60 | Save $511.40 / mo |
| 100,000 reqs/mo (Growth Production) | $6,600.00 | $1,486.00 | Save $5,114.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $66,000.00 | $14,860.00 | Save $51,140.00 / mo |
Cerebras — Gemma 4 31B is 77% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), Cerebras — Gemma 4 31B costs $0.0149 per request compared to $0.066 on Perplexity Sonar Pro.
Perplexity Sonar Pro offers a context window of 200,000 tokens (max output: 8,192), while Cerebras — Gemma 4 31B offers 128,000 tokens (max output: 8,192).
At 100,000 requests per month, using Cerebras — Gemma 4 31B saves $5,114.00 every month (or $61,368.00 annually) compared to Perplexity Sonar Pro.
Output is the expensive side — prefer models with cheap output for autocomplete-style calls. Cache repository context between keystrokes; diffs change far less than the full file. Measure acceptance rate: paying for output users delete is pure waste.