Last verified 2026-03-19 (left) · 2025-11-26 (right)

GPT-5.4 mini vs Grok 4.1 Fast Non-Reasoning — Pricing & Capability Comparison

GPT-5.4 mini charges $0.75 per million input tokens and $4.50 per million output tokens. Grok 4.1 Fast Non-Reasoning comes in at $0.20 / $0.50. Context windows span 400K vs 2M tokens respectively.

TL;DR — Quick Comparison

✓Grok 4.1 Fast Non-Reasoning is cheaper overall: $0.70 per 1M tokens (in+out) vs $5.25 for GPT-5.4 mini — saves $4.55 per 1M tokens
✓Input pricing: GPT-5.4 mini $0.75/1M vs Grok 4.1 Fast Non-Reasoning $0.20/1M
✓Output pricing: GPT-5.4 mini $4.50/1M vs Grok 4.1 Fast Non-Reasoning $0.50/1M
✓Context window: Grok 4.1 Fast Non-Reasoning offers more (2M vs 400K)
✓Use our calculator below to estimate costs for your specific usage pattern

Input price (per 1M)

GPT-5.4 mini

$0.75

Grok 4.1 Fast Non-Reasoning

$0.20

Grok 4.1 Fast Non-Reasoning leads here

Output price (per 1M)

GPT-5.4 mini

$4.50

Grok 4.1 Fast Non-Reasoning

$0.50

Grok 4.1 Fast Non-Reasoning leads here

Context window

GPT-5.4 mini

400,000 tokens

Grok 4.1 Fast Non-Reasoning

2,000,000 tokens

Grok 4.1 Fast Non-Reasoning leads here

Cached input

GPT-5.4 mini

$0.075

Grok 4.1 Fast Non-Reasoning

$0.050

Grok 4.1 Fast Non-Reasoning leads here

Which one should you choose?

Skip the spreadsheet if you just need the practical takeaway. Use these rules when deciding between GPT-5.4 mini and Grok 4.1 Fast Non-Reasoning.

Choose Grok 4.1 Fast Non-Reasoning if input tokens dominate your bill

Grok 4.1 Fast Non-Reasoning has the lower input rate, which usually matters most for chat, RAG, classification, and long-prompt workflows where prompt volume stays much larger than generated output.

Choose Grok 4.1 Fast Non-Reasoning if you generate long answers

Grok 4.1 Fast Non-Reasoning is cheaper on output tokens, so it tends to win for report generation, coding assistance, reasoning traces, and any workflow where completions are long.

Choose Grok 4.1 Fast Non-Reasoning if context size is the blocker

Grok 4.1 Fast Non-Reasoning offers the larger published context window, which is more important than small pricing differences when you need to fit large files, long chats, or multi-document prompts into one request.

Cost comparison for 10K-token workloads

Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.

Scenario	GPT-5.4 mini	Grok 4.1 Fast Non-Reasoning	GPT-5.4 mini cached	Grok 4.1 Fast Non-Reasoning cached
Balanced conversation 50% input · 50% output	$0.0262	$0.0035	$0.0229	$0.0027
Input-heavy workflow 80% input · 20% output	$0.0150	$0.0026	$0.0096	$0.0014
Generation heavy 30% input · 70% output	$0.0338	$0.0041	$0.0317	$0.0037
Cached system prompt 90% cached input · 10% fresh output	$0.0112	$0.0023	$0.0052	$0.0009

Frequently asked questions

Which is cheaper: GPT-5.4 mini or Grok 4.1 Fast Non-Reasoning?

Grok 4.1 Fast Non-Reasoning is cheaper for input tokens at $0.20 per 1M tokens compared to $0.75. For output, Grok 4.1 Fast Non-Reasoning costs $0.50 per 1M tokens versus $4.50 for GPT-5.4 mini.

What is the cost per 1M tokens for GPT-5.4 mini?

GPT-5.4 mini pricing: $0.75 per 1M input tokens and $4.50 per 1M output tokens. Context window: 400,000 tokens.

What is the cost per 1M tokens for Grok 4.1 Fast Non-Reasoning?

Grok 4.1 Fast Non-Reasoning pricing: $0.20 per 1M input tokens and $0.50 per 1M output tokens. Context window: 2,000,000 tokens.

How much does it cost per 1K tokens?

Per 1K tokens: GPT-5.4 mini costs $0.0008 input / $0.0045 output. Grok 4.1 Fast Non-Reasoning costs $0.0002 input / $0.0005 output. This is useful for calculating small-scale usage costs.

Which model supports a larger context window?

Grok 4.1 Fast Non-Reasoning offers 2,000,000 tokens (2M) versus 400K for GPT-5.4 mini.

What is the estimated monthly cost for typical usage?

For a typical workload of 10M input + 2M output tokens per month: GPT-5.4 mini would cost approximately $16.50, while Grok 4.1 Fast Non-Reasoning would cost $3.00. Grok 4.1 Fast Non-Reasoning is more economical for this usage pattern.

Do these models support prompt caching?

GPT-5.4 mini supports prompt caching at $0.075 per 1M cached tokens, reducing costs for repeated context by up to 90%. Grok 4.1 Fast Non-Reasoning supports caching at $0.050 per 1M tokens, saving up to 75%.

Which model is best for my use case?

Choose Grok 4.1 Fast Non-Reasoning for cost-sensitive applications with high input volume. Choose Grok 4.1 Fast Non-Reasoning if you need 2M context for long documents or conversations. Consider prompt caching if you have repeated context. Use our token calculator to model your specific usage pattern.