A mobile app should never call a paid AI provider directly with an embedded secret. Put authentication, quotas, moderation, routing, retries, and usage accounting behind your backend. Choose models by perceived latency, cost per active user, and offline or degraded-mode behavior.
A practical evaluation method
- Measure time to first useful result on real mobile networks.
- Set per-user quotas and idempotency before launching generation features.
- Keep model routing server-side so the app can switch providers without an update.
What Mobile Changes
Mobile AI has constraints desktop doesn't: users expect instant responses on flaky networks, per-user cost must stay tiny at consumer scale, and you can't ship API keys in the app. Get those three right and adding AI is straightforward. All models below run through one key on LinkModel.
1. Optimize for Latency
Mobile users abandon slow screens. Favor fast tiers and streaming:
- Route short interactions to Gemini Flash-Lite, Claude Haiku, or GPT mini/Nano.
- Stream tokens so text appears immediately (great TTFT hides throughput).
- Disable reasoning modes for simple tasks. Full tactics in AI API latency guide.
2. Keep Per-User Cost Tiny
Consumer apps have many users and thin revenue per user. Protect margin:
- Cheap default model (DeepSeek V4 Flash at $0.14/$0.28) for the bulk; escalate rarely.
- Cache the system prompt — prompt caching cuts repeated input 85–98%.
- Cap output and trim context.
- Fixed per-request pricing makes per-user cost forecastable. See how to reduce AI API costs.
3. Never Ship Your API Key
This is the mobile mistake that leads to bill shock and abuse. Do not embed your API key in the app — anyone can extract it. Instead:
- Route calls through your own backend (or a serverless function) that holds the key.
- Add auth, per-user rate limits, and abuse monitoring at that layer.
- The app talks to your backend; your backend talks to the AI API.
Mobile app → your backend (holds key, enforces limits) → LinkModel APIFeatures Mobile Apps Ship
| Feature | Model |
|---|---|
| In-app chat / assistant | Cheap default + escalation |
| Photo/image generation | Nano Banana 2 (fast, cheap) |
| Image editing | Seedream 5.0 Pro |
| Short video clips | Seedance 2.0 / Hailuo 2.3 |
| Doc/photo Q&A (multimodal) | Kimi K2.6, Gemini |
One key across all of them means one backend integration for every feature — see build an AI app with multiple models.
Handle the Network
Mobile networks drop. Use async patterns for image/video (submit → poll/webhook), implement retries with backoff for rate limits (AI API rate limits), and design for offline/slow gracefully.
Bottom Line
For mobile AI: fast tiers + streaming, a cheap default with caching, and a backend proxy that never exposes your key. Get those right and shipping image, video, and chat features is one integration away. Broader setup in best AI API for startups.
Start free with a $1 credit and prototype behind your backend.
