Simulating realistic Content generation parameters (800 in / 1,200 out with 30% cache reuse). Claude Opus 5 delivers a 15% cost reduction over GPT-5.6 Sol.
Quick answer
For Content generation, Claude Opus 5 is the lower-cost option at $0.0329 per request versus $0.0389 for GPT-5.6 Sol, a modeled saving of 15%.
Method & trust
The comparison uses 800 input tokens, 1,200 output tokens, and 30% cache reuse for the selected workload. Pricing is applied per model, then scaled to monthly request volumes.
| Traffic Volume Tier | GPT-5.6 Sol Monthly | Claude Opus 5 Monthly | Monthly Savings by picking Claude Opus 5 |
|---|---|---|---|
| 1,000 reqs/mo (Dev/Testing) | $38.92 | $32.92 | Save $6.00 / mo |
| 10,000 reqs/mo (Small App) | $389.20 | $329.20 | Save $60.00 / mo |
| 100,000 reqs/mo (Growth Production) | $3,892.00 | $3,292.00 | Save $600.00 / mo |
| 1,000,000 reqs/mo (Scale SaaS) | $38,920.00 | $32,920.00 | Save $6,000.00 / mo |
Claude Opus 5 is 15% cheaper for Content generation workloads. At standard Content generation parameter ratios (800 input tokens, 1,200 output tokens, 30% cache hit), Claude Opus 5 costs $0.0329 per request compared to $0.0389 on GPT-5.6 Sol.
GPT-5.6 Sol offers a context window of 1,050,000 tokens (max output: 128,000), while Claude Opus 5 offers 1,000,000 tokens (max output: 128,000).
At 100,000 requests per month, using Claude Opus 5 saves $600.00 every month (or $7,200.00 annually) compared to GPT-5.6 Sol.
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.