Simulating realistic AI coding assistant parameters (12,000 in / 2,000 out with 60% cache reuse). DeepSeek R1 (Reasoner) delivers a 80% cost reduction over Perplexity Sonar Reasoning Pro.
Quick answer
For AI coding assistant, DeepSeek R1 (Reasoner) is the lower-cost option at $0.008028 per request versus $0.04 for Perplexity Sonar Reasoning Pro, a modeled saving of 80%.
Method & trust
The comparison uses 12,000 input tokens, 2,000 output tokens, and 60% cache reuse for the selected workload. Pricing is applied per model, then scaled to monthly request volumes.
| Traffic Volume Tier | Perplexity Sonar Reasoning Pro Monthly | DeepSeek R1 (Reasoner) Monthly | Monthly Savings by picking DeepSeek R1 (Reasoner) |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $40.00 | $8.028 | Save $31.972 / mo |
| 10,000 reqs/mo (Small App) | $400.00 | $80.28 | Save $319.72 / mo |
| 100,000 reqs/mo (Growth Production) | $4,000.00 | $802.80 | Save $3,197.20 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $40,000.00 | $8,028.00 | Save $31,972.00 / mo |
DeepSeek R1 (Reasoner) is 80% cheaper for AI coding assistant workloads. At standard AI coding assistant parameter ratios (12,000 input tokens, 2,000 output tokens, 60% cache hit), DeepSeek R1 (Reasoner) costs $0.008028 per request compared to $0.04 on Perplexity Sonar Reasoning Pro.
Perplexity Sonar Reasoning Pro offers a context window of 127,072 tokens (max output: 8,192), while DeepSeek R1 (Reasoner) offers 64,000 tokens (max output: 8,000).
At 100,000 requests per month, using DeepSeek R1 (Reasoner) saves $3,197.20 every month (or $38,366.40 annually) compared to Perplexity Sonar Reasoning 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.