GPT-5 Mini (batch) API Pricing
OpenAI · context window 400K · prices updated 2026-08-23
Where GPT-5 Mini (batch) sits on price
At $1.00 per million output tokens, GPT-5 Mini (batch) is a mid tier model — 2.3× cheaper than the median output price of $2.25, which puts it cheaper than 71% and pricier than 29% of the models we track. It sits 16th cheapest of the 93 OpenAI models we track. Output costs 8.0× more than input here, so anything that makes the model write less — tighter instructions, structured output, lower max_tokens — moves the bill more than trimming the prompt.
Cached input is 90% cheaper. On an input-heavy workload you need roughly a 28% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.
What real workloads cost on GPT-5 Mini (batch)
These three workloads are the ones teams actually run on a mid-priced model — a $1.00/1M model is not bought for the same job as one ten times the price.
| Workload | Per request | Per month |
|---|---|---|
| Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. | $0.002 | $30.38 |
| Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. | $0.0009 | $263 |
| Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. | $0.0353 | $212 |
Model your exact traffic in the API cost calculator — it preloads GPT-5 Mini (batch) with caching and batch options.
GPT-5 Mini (batch) price history
GPT-5 Mini (batch)'s price has not moved since we began tracking it on Aug 6, 2026 — 17 days of stability in a market where 55 of the 302 models we track have repriced over the same period, including 9 of OpenAI's own 93 models.
Change-points from our daily price snapshots (tracking since Aug 6, 2026; intraday moves between snapshots are not captured).
GPT-5 Mini (batch) vs Qwen2.5 VL 72B Instruct
The closest-priced alternative from another vendor is Qwen2.5 VL 72B Instruct (Alibaba (Qwen)) — priced within a rounding error on output, with $0.675 more per million input tokens. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.
See Qwen2.5 VL 72B Instruct pricing →Cheaper alternatives
More OpenAI models
Frequently asked questions
› How much does the GPT-5 Mini (batch) API cost?
GPT-5 Mini (batch) costs $0.125 per million input tokens and $1.00 per million output tokens, with cached input at $0.0125 per million (90% cheaper). That works out to roughly 1,000,000 output tokens per dollar.
› What does the support chatbot workload cost on GPT-5 Mini (batch)?
Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.002 per request and $30.38 per month on GPT-5 Mini (batch). Conversation history re-sent each turn — the classic prompt-caching win.
› What does it cost to fill GPT-5 Mini (batch)'s 400K context window?
Sending 400K of input in a single request costs $0.05 at $0.125 per million tokens — before any output. With prompt caching that same fill drops to about $0.005 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.
› Is GPT-5 Mini (batch) worth the price?
GPT-5 Mini (batch) sits in the middle of the market (16 of 93 by price within OpenAI). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.