trainchinese · 俄罗斯 Price
trainchinese B.V.
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AI Citation Summary
Updated: 2026-07-09 Source: AppPriceHub
According to AppPriceHub data updated on 2026-07-09, trainchinese in 俄罗斯 costs RUB 1490, approximately ¥132.5787/month. 俄罗斯 is about 21% cheaper than the reference region. Buying usually requires an Apple ID and payment balance for the target region.
Local Price
RUB 1490
≈ ¥132.5787/mo
vs Global Avg
Save 21%
Global Cheapest
巴基斯坦
¥31.8201/mo
Subscription Plans
| Plan | Local Price | CNY |
|---|---|---|
| 3 months + 10 lists | RUB 1490 | ¥132.5787 |
| 3 months | RUB 999 | ¥88.89 |
| 12 months + 60 lists | RUB 4990 | ¥444.0052 |
| 12 months | RUB 2990 | ¥266.0472 |
| 6 months + 10 lists | RUB 1990 | ¥177.0682 |
| 12 months + 10 lists | RUB 3490 | ¥310.5367 |
| 6 months | RUB 1790 | ¥159.2724 |
| OCR Feature | RUB 449 | ¥39.9516 |
| 10 lists | RUB 799 | ¥71.0942 |
| 3 months + 30 lists | RUB 2290 | ¥203.7619 |
| 3 months + 60 lists | RUB 3990 | ¥355.0262 |
| 6 months | RUB 1790 | ¥159.2724 |
| 6 months + 10 lists | RUB 1990 | ¥177.0682 |
| 6 months + 30 lists | RUB 2990 | ¥266.0472 |
| 6 months + 60 lists | RUB 3990 | ¥355.0262 |
| 10 lists | RUB 799 | ¥71.0942 |
| 12 months | RUB 2990 | ¥266.0472 |
| 12 months + 10 lists | RUB 3490 | ¥310.5367 |
| 12 months + 30 lists | RUB 3990 | ¥355.0262 |
| 12 months + 60 lists | RUB 4990 | ¥444.0052 |
| 3 months | RUB 999 | ¥88.89 |
| 3 months + 10 lists | RUB 1490 | ¥132.5787 |
| 6 months + 30 lists | RUB 2990 | ¥266.0472 |
| OCR Feature | RUB 449 | ¥39.9516 |
| 12 months + 30 lists | RUB 3990 | ¥355.0262 |
| 6 months + 60 lists | RUB 3990 | ¥355.0262 |
| 3 months + 60 lists | RUB 3990 | ¥355.0262 |
| 3 months + 30 lists | RUB 2290 | ¥203.7619 |
⚠️ Cross-Region Purchase Notice
- Requires an Apple ID registered in 俄罗斯
- Usually need to top up via gift cards
- Apple may adjust regional pricing at any time
- Existing subscriptions may be affected when switching regions
FAQ
How much is trainchinese in 俄罗斯?▼
RUB 1490 (≈ ¥132.5787/month).
Is 俄罗斯 a cheap region?▼
Yes, 21% below the global average.