Models

GPT 4.1 Mini vs Grok 4.5

Compare GPT 4.1 Mini from OpenAI and Grok 4.5 from Grok 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 MiniGrokGrok 4.5
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
Grok logo
Grok 4.5
Grok · text, image → text

Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.

Input$2 /M
Output$6 /M
Cache read$0.5 /M

Pricing & Specifications

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

GPT 4.1 Mini
Grok 4.5
Input /M
$0.4
$2
Output /M
$1.6
$6
Cache read /M
$0.1
$0.5
Context length
1,047,576
500,000
Max output
32,768
500,000
Time to First Token
0.7 s
2.8 s
Throughput
58.0 tok/s
31.6 tok/s
Modalities
textimage
textimage
Supported Parameters
toolsfunction callingstructured outputslong context
thinkingtoolsfunction callingstructured outputslong context
API Formats
Released
-
July 2026

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-minigrok-4.5

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-minigrok-4.5

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

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LMArena Benchmarks

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

Text
gpt-4.1-minigrok-4.5
1320138014401500
Overall
13821471
Coding
14331523
Math
13531479
Hard prompts
14021495
Instruction following
13721466
Multi-turn
13931476
Creative writing
13491451
Longer query
13891487
Chinese
13841512
English
13961476
Vision
gpt-4.1-minigrok-4.5
11801220126013001340
Overall
12011282
OCR
12061294
Diagram
12081319
Homework
12211324

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
$48.00 /mo
Grok 4.5
$210 /mo

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

FAQ

Which is cheaper: GPT 4.1 Mini, Grok 4.5?

GPT 4.1 Mini: $1.6/M output tokens; Grok 4.5: $6/M. Use the cost calculator above to estimate your own workload.

How do their coding arena scores compare?

Grok 4.5: 1523; GPT 4.1 Mini: 1433 (LMArena coding leaderboard).

Which responds faster?

GPT 4.1 Mini: 0.7s 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 Grok 4.5 accepts 500,000 input tokens. Maximum output per request is 32,768 tokens on GPT 4.1 Mini and 500,000 tokens on Grok 4.5.

Which one generates tokens faster?

GPT 4.1 Mini at 58.0 tok/s and Grok 4.5 at 31.6 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; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.

Can I call GPT 4.1 Mini and Grok 4.5 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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