Token pricing comparison
OpenAI charges a flat per-token rate based on the model you choose. Token Landing blends premium and economy models automatically, resulting in 55–70% lower total cost for typical production workloads. For a comprehensive breakdown of cost-reduction tactics, see LLM cost optimization.
| Metric | GPT-4o | GPT-4o-mini | Token Landing (hybrid) |
|---|---|---|---|
| Input price (per 1M tokens) | $2.50 | $0.15 | $0.80–1.50 |
| Output price (per 1M tokens) | $10.00 | $0.60 | $3.00–6.00 |
Prices are approximate and may change. See full pricing table for more providers.
Feature comparison
| Feature | OpenAI | Token Landing |
|---|---|---|
| API compatibility | OpenAI native | OpenAI-compatible (drop-in) |
| Model choice | Single provider (OpenAI) | Multi-model blend (best-of-breed) |
| Routing | Manual model selection per call | Automatic A-tier / value-tier routing |
| Cost optimization | Switch to mini manually | Built-in hybrid routing, 40–70% savings |
| Quality floor | You manage it | Configurable per route |
| Migration effort | N/A (native) | Base-URL swap, no code changes |
When to choose OpenAI
If you need 100% single-vendor traceability, are already deeply integrated with the OpenAI ecosystem, or have compliance requirements that mandate a specific provider, staying with OpenAI directly makes sense.
When to choose Token Landing
If you want premium-quality UX without paying flagship prices on every token, need to scale AI features cost-effectively, or want the flexibility of multi-model routing behind a single API, Token Landing is designed for your use case. Migration is a base-URL swap — no SDK changes needed.
Cost impact at scale
For a product making 1M API requests per month (avg 500 input + 1,500 output tokens each):
| Approach | Monthly cost (est.) | Quality |
|---|---|---|
| All GPT-4o | $10.00 × 1.5B tokens = high | Highest |
| All GPT-4o-mini | Lowest | Good but inconsistent |
| Token Landing hybrid | 55–70% less than all-flagship | High where users notice |