Models

GPT 4.1 Mini vs GPT 4.1 Mini (free)

Compare GPT 4.1 Mini from OpenAI and GPT 4.1 Mini (free) from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

OpenAIGPT 4.1 MiniOpenAIGPT 4.1 Mini (free)
OpenAI logo
GPT 4.1 Mini
OpenAI · text, image → text

Lightweight, high-performance model with million-token context and near-flagship-level encoding and image understanding capabilities, while reducing costs by 83%. It is suitable for rapid development and small to medium-sized applications. The automatic caching mechanism provides a 75% cost reduction on cache hits.

Input$0.4 /M
Output$1.6 /M
Cache read$0.1 /M
OpenAI logo
GPT 4.1 Mini (free)
OpenAI · text, image → text

This free model API comes from the OpenAI model deployed on Azure. To prevent abuse, the external content filter provided by Azure has been enforced, which will result in additional delays. If you want to experience the full version of the model API without filters, please use the paid version and request the model name ID without "-free".

Input$0 /M
Output$0 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

GPT 4.1 Mini
GPT 4.1 Mini (free)
Input /M
$0.4
$0
Output /M
$1.6
$0
Cache read /M
$0.1
-
Context length
1,047,576
1,047,576
Max output
32,768
32,768
Time to First Token
0.7 s
0.4 s
Throughput
58.0 tok/s
59.3 tok/s
Modalities
textimage
textimage
Supported Parameters
toolsfunction callingstructured outputslong context
toolsfunction callingstructured outputslong context
API Formats
Released
-
-

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

gpt-4.1-minigpt-4.1-mini-free

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gpt-4.1-minigpt-4.1-mini-free

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

Text
gpt-4.1-minigpt-4.1-mini-free
1320136014001440
Overall
13821382
Coding
14331433
Math
13531354
Hard prompts
14021402
Instruction following
13721372
Multi-turn
13921393
Creative writing
13491349
Longer query
13891389
Chinese
13841384
English
13961398
Vision
gpt-4.1-minigpt-4.1-mini-free
1180120012201240
Overall
12011203
OCR
12061206
Diagram
12081209
Homework
12201221

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

GPT 4.1 Mini (free)
$0.00 /mo
GPT 4.1 Mini
$48.00 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

How do their coding arena scores compare?

GPT 4.1 Mini (free): 1433; GPT 4.1 Mini: 1433 (LMArena coding leaderboard).

Which responds faster?

GPT 4.1 Mini (free): 0.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

GPT 4.1 Mini accepts 1,047,576 and GPT 4.1 Mini (free) accepts 1,047,576 input tokens. Maximum output per request is 32,768 tokens on GPT 4.1 Mini and 32,768 tokens on GPT 4.1 Mini (free).

Which one generates tokens faster?

GPT 4.1 Mini (free) at 59.3 tok/s and GPT 4.1 Mini at 58.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GPT 4.1 Mini accepts text and image input and supports tool calling, function calling, structured outputs and long context; GPT 4.1 Mini (free) accepts text and image input and supports tool calling, function calling, structured outputs and long context.

Can I call GPT 4.1 Mini and GPT 4.1 Mini (free) with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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