Bulk classification and routing — cheap AI for high volumes

If you're tagging, classifying, routing, or briefly summarizing millions of texts, a flagship model is pure money-burn. You need sub-500ms latency, costs in the cents-per-thousand range, and solid accuracy — not state-of-the-art reasoning. Mini and Haiku-tier models exist for exactly this.

Is this your use case?

·Volume > 100,000 calls per day.
·Output is a category, a score, or a 1-3 sentence summary.
·Per-call latency must stay under 500ms.

What to look for

→Price per million tokens under $1 (input and output sensibly combined).
→Low p50 latency, ideally under 300ms.
→Structured output / JSON mode so the response slots straight into your pipeline.

Recommended models

Best-of list, ordered by fit — not alphabetically.

1
anthropic/claude-haiku-4.5
Top pick
Fastest Claude — classification, routing, simple agents at mini-tier prices.
Fastest in the Claude family, vision included (rare at this price), 200k context for long inputs.
Model details
2
google/gemini-3-flash
Fast, cheap Gemini — 1M context, fully multimodal.
1M context at mini-tier pricing, plus multimodal input (audio, video). Standard for classification and routing.
Model details
3
openai/gpt-5.4-mini
GPT-5.4's smaller sibling — cheaper, faster, built for volume.
Fraction of GPT-5.4 cost but same 400k context window. For high-volume routing in OpenAI-centric stacks.
Model details
4
deepseek/deepseek-v3
Best budget
DeepSeek-V3 — MoE model, impressive coding quality for very little money.
Among the absolute cheapest models with serious quality. Mind compliance filters for US/EU data.
Model details