USE CASE · VERIFIED 1 NOV 2026
What's the cheapest AI API for high-volume text classification?
For a workload of 500M input tokens and 10M output tokens a month, DeepSeek V4.1 Flash is cheapest at $0.045/$0.5 per 1M tokens, costing $28/mo. GPT-6 Luna and Claude Haiku 5.5 follow at $55/mo, with Qwen3.8 Flash and GLM 5.3 Flash close behind at $80/mo, and GPT-4o mini and MiniMax M3.1 Flash at $81/mo.
Worked example: 500M input, 10M output tokens/month
Labelling millions of short texts: almost all input, tiny outputs. The six cheapest of the 35 models we track, plus two flagships for scale. Open-weight models are priced at the original provider's own list price.
Why input price dominates this workload
Classification jobs like labelling, routing, or tagging short texts are almost all input tokens with a few words of output — a tag, a score, a category. That means the input price per 1M tokens matters far more than the output price when ranking total cost. This is why DeepSeek V4.1 Flash wins: at $0.045 per 1M input tokens, it's by far the cheapest way to push hundreds of millions of tokens through the model, and the tiny output volume barely moves the bill. If your ratio shifts toward longer outputs — summaries instead of labels — the ranking can change, so always check the per-model workload cost rather than just the sticker input price.
Budget tier is built for this job, but check the floor
Every model in the top ten for this workload is a budget-tier model, and that's not a coincidence — classification doesn't need flagship reasoning, it needs volume at low cost. DeepSeek V4.1 Flash, GPT-6 Luna, Claude Haiku 5.5, Qwen3.8 Flash, GLM 5.3 Flash, GPT-4o mini and MiniMax M3.1 Flash all land between $28 and $81/mo, and all but GPT-4o mini offer a 1M token context window, which is overkill for short-text classification but useful if you ever batch many samples into one call. The jump to mid-tier models like Gemini 3 Flash ($280/mo) or the budget-tier Claude Haiku 4.5 ($550/mo) is a real cost increase — worth it only if the cheaper budget models are measurably getting classifications wrong for your specific categories.
Batching and caching change the real number
The prices here are list prices for pay-per-token API calls. Many providers offer a batch processing mode for non-realtime jobs — classification is a textbook fit since you don't need the answer in 200ms — and batch discounts are often around half the standard rate. Prompt caching is the other lever: if every classification call reuses the same instructions or category list as a prefix, a provider with strong prompt caching can cut effective input cost substantially even before batching. Check both options with your shortlisted provider before locking in a model purely on list price.
How we'd actually decide
- Situation: pure lowest cost, no special requirements — DeepSeek V4.1 Flash — cheapest at $28/mo for this workload
- Situation: want to avoid single-vendor lock-in to DeepSeek — GPT-6 Luna or Claude Haiku 5.5 — both $55/mo, still well below the mid tier
- Situation: already building on OpenAI and want a familiar, well-documented budget model — GPT-4o mini — $81/mo, smaller 128K context but simple to adopt
- Situation: budget-tier accuracy isn't cutting it for your categories — Gemini 3 Flash or Claude Haiku 4.5 — $280/mo and $550/mo respectively, a real step up in tier
Worked example uses standard (non-batch, non-cached) list pricing verified 1 November 2026. Prices change; use the calculator for today's numbers with your own volume. DeepSeek figures use DeepSeek's own weekday list price. On the weekends of 3–4 and 10–11 October we saw DeepSeek charge half of that, so if your jobs run on weekends the DeepSeek numbers can come in lower.