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CostPerPrompt

GPT-4.1 Mini API Pricing

OpenAI · context window 1M · prices updated 2026-09-15

Input per 1M tokens
$0.4
Output per 1M tokens
$1.60
Cached input per 1M
$0.1
75% cheaper than fresh input

Where GPT-4.1 Mini sits on price

At $1.60 per million output tokens, GPT-4.1 Mini is a mid tier model — 1.3× cheaper than the median output price of $2.08, which puts it cheaper than 58% and pricier than 42% of the models we track. It sits 23th cheapest of the 92 OpenAI models we track. Output costs 4.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
625,000
One full context fill
$0.419
Cheaper than
58% of tracked models

Cached input is 75% cheaper. On an input-heavy workload you need roughly a 33% 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-4.1 Mini

These three workloads are the ones teams actually run on a mid-priced model — a $1.60/1M 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. $0.0042 $63.60
Document pipeline — 10K docs/day (3K in / 500 out) Batch-friendly: no user waiting, so a ~50% batch discount usually applies. $0.002 $600
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.1064 $638

Model your exact traffic in the API cost calculator — it preloads GPT-4.1 Mini with caching and batch options.

GPT-4.1 Mini price history

GPT-4.1 Mini's price has not moved since we began tracking it on Aug 2, 2026 — 44 days of stability in a market where 78 of the 334 models we track have repriced over the same period, including 9 of OpenAI's own 92 models.

Change-points from our daily price snapshots (tracking since Aug 2, 2026; intraday moves between snapshots are not captured).

GPT-4.1 Mini vs Qwen3.5 Plus 2026-02-15

The closest-priced alternative from another vendor is Qwen3.5 Plus 2026-02-15 (Alibaba (Qwen)) — 3% cheaper on output, with $0.14 less 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 Qwen3.5 Plus 2026-02-15 pricing →

Cheaper alternatives

More OpenAI models

Frequently asked questions

How much does the GPT-4.1 Mini API cost?

GPT-4.1 Mini costs $0.4 per million input tokens and $1.60 per million output tokens, with cached input at $0.1 per million (75% cheaper). That works out to roughly 625,000 output tokens per dollar.

What does the support chatbot workload cost on GPT-4.1 Mini?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.0042 per request and $63.60 per month on GPT-4.1 Mini. Conversation history re-sent each turn — the classic prompt-caching win.

What does it cost to fill GPT-4.1 Mini's 1M context window?

Sending 1M of input in a single request costs $0.419 at $0.4 per million tokens — before any output. With prompt caching that same fill drops to about $0.1048 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

Is GPT-4.1 Mini worth the price?

GPT-4.1 Mini sits in the middle of the market (23 of 92 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.