Fast AI models: 73 low-latency options for chat and autocomplete
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These 73 models are the small, fast members of each family - Flash, Mini, Lite, Nano and Haiku variants - built for workloads where response time and request volume matter more than depth. Output runs from $0.10 to $5 per million tokens, an order of magnitude below the frontier.
Typical uses: routing and classification, autocomplete, moderation passes, first-line support. GLM 5.3 Flash, Gemini 3.8 Flash and Gemini 3.7 Flash head the list. These models are weaker at long multi-step reasoning, so the common pattern is a fast model in front, escalating to a frontier model only when the task warrants it.
Models with this capability
The 73 models below all support this capability. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Measure time to first token, not just total time — perceived speed lives there.
- Test on your hardest realistic input; small models degrade suddenly rather than gradually.
- Check context limits, which are often smaller on the fast variants.
- Design the escalation rule before launch, not after the first complaint.
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