Token pricing comparison
Google Gemini charges a flat per-token rate based on the model you choose. Token Landing blends premium and economy models automatically, resulting in 40–60% lower total cost for typical production workloads. For broader strategies on reducing API spend, see LLM cost optimization.
| Metric | Gemini 2.5 Pro | Gemini 2.5 Flash | Token Landing (hybrid) |
|---|---|---|---|
| Input price (per 1M tokens) | $1.25 | $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 | Google Gemini | Token Landing |
|---|---|---|
| API format | Google AI SDK / Vertex AI | OpenAI-compatible (universal) |
| Model ecosystem | Google models only | Multi-provider, best-of-breed routing |
| Routing | Manual model selection | Automatic A-tier / value-tier split |
| Cost optimization | Switch to Flash manually | Built-in hybrid routing |
| Vendor lock-in | High (Google ecosystem) | Low (OpenAI-compatible, swap anytime) |
| Migration from OpenAI | Full SDK rewrite | Base-URL swap only |
When to choose Google Gemini
If you need 100% single-vendor traceability, are already deeply integrated with the Google Gemini ecosystem, or have compliance requirements that mandate a specific provider, staying with Google Gemini 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 Gemini 2.5 Pro | $10.00 × 1.5B tokens = high | Highest |
| All Gemini 2.5 Flash | Lowest | Good but inconsistent |
| Token Landing hybrid | 40–60% less than all-flagship | High where users notice |