Go
US$9.99/month
Light AI tasks and efficient models.
ELTEXPRICING
ELTEX AI Plan combines multi-model access, smart routing, and visible capacity windows. Plan availability, model catalog, and provider routing can change as the service evolves.
US$9.99/month
Light AI tasks and efficient models.
US$19.99/month
Consistent building, coding, and analysis.
US$29.99/month
Larger workloads and advanced reasoning access.
US$49.99/month
Production workflows and power users.
US$89.99/month
Teams and higher-throughput AI operations.
PLAN COMPARISON
| Plan | Price / month | Typical fit |
|---|---|---|
| Go | US$9.99 | Light AI tasks and efficient models |
| Lite | US$19.99 | Building, coding, and analysis |
| Plus | US$29.99 | Larger workloads and advanced reasoning access |
| Pro | US$49.99 | Production workflows and power users |
| Max | US$89.99 | Teams and higher-throughput operations |
Plans use capacity refresh windows and weekly limits rather than exposing raw provider token pricing. A credit is a capacity unit, not a fixed quantity of tokens: use changes with the selected model, input and output tokens, context, tools, and route. Burst Pack capacity can be available when a plan window is exhausted.
COST REFERENCE
This example uses DeepSeek's published direct-API rates for deepseek-v4-flash: US$0.14 per million cache-miss input tokens, US$0.0028 per million cache-hit input tokens, and US$0.28 per million output tokens. It is a reference calculation, not an ELTEX savings promise.
| Reference workload | Direct V4 Flash calculation | Direct API cost | What changes the result |
|---|---|---|---|
| 1,000,000 cache-miss input + 250,000 output | (1 × $0.14) + (0.25 × $0.28) | US$0.2100 | All input is billed at the cache-miss rate. |
| 1,000,000 cache-hit input + 250,000 output | (1 × $0.0028) + (0.25 × $0.28) | US$0.0728 | Input qualifies for DeepSeek cache-hit billing. |
Source: DeepSeek Models & Pricing, checked July 15, 2026. ELTEX will only publish savings percentages after they can be reproduced from a dated, route-level benchmark using equivalent workloads.