TokenMix Research Lab · 2026-04-13

GPT-5.4 Mini Pricing 2026: $0.75/$4.50 — $0.075 Cached (90% Off)

GPT-5.4 Mini Pricing Guide: Complete Cost Breakdown, Batch Rates, and Why It Replaces GPT-4o (2026)

GPT-5.4 Mini costs $0.75/M input and $4.50/M output -- roughly 70% cheaper than GPT-5.4 while matching or exceeding GPT-4o on most benchmarks. With prompt caching at $0.075/M and batch processing at $0.375/M input, it is one of the most cost-effective mid-tier models available. This guide covers every pricing detail for GPT-5.4 Mini: standard rates, cached rates, batch rates, and real cost calculations at five usage levels. Pricing data tracked by TokenMix.ai as of April 2026.

[Quick Pricing Reference: GPT-5.4 Mini at a Glance]
[GPT-5.4 Mini Standard Pricing]
[Cached Input Pricing: 90% Off Repeated Content]
[Batch API Pricing: 50% Off Everything]
[GPT-5.4 Mini vs GPT-4o: Why Mini Replaces It]
[GPT-5.4 Mini vs Other Budget Models]
[Cost at 5 Usage Levels]
[How to Minimize GPT-5.4 Mini Costs]
[When to Use GPT-5.4 Mini vs Other Models]
[Conclusion]
[FAQ]

Quick Pricing Reference: GPT-5.4 Mini at a Glance

Pricing Tier	Input (/1M tokens)	Output (/1M tokens)
Standard	$0.75	$4.50
Cached Input	$0.075	N/A (output unchanged)
Batch Standard	$0.375	$2.25
Batch + Cached	$0.0375	$2.25
Context Window	128K tokens
Max Output	16K tokens
Knowledge Cutoff	Mid-2025

GPT-5.4 Mini Standard Pricing

GPT-5.4 Mini sits between OpenAI's budget models (GPT-4.1 mini at $0.40/M) and their flagship (GPT-5.4 at $2.50/M) in both price and capability.

Standard rates (pay-as-you-go):

Component	Rate	Comparison to GPT-5.4
Input tokens	$0.75 per 1M tokens	70% cheaper
Output tokens	$4.50 per 1M tokens	55% cheaper
Cached input tokens	$0.075 per 1M tokens	94% cheaper (vs standard GPT-5.4)

What this means in real money:

Request Type	Input Tokens	Output Tokens	Cost
Simple chat (200 in / 200 out)	200	200	$0.00105
Detailed Q&A (500 in / 500 out)	500	500	$0.00263
Code review (2,500 in / 1,000 out)	2,500	1,000	$0.00638
Document summary (5,000 in / 500 out)	5,000	500	$0.00600
Long analysis (10,000 in / 2,000 out)	10,000	2,000	$0.01650

For a full cost comparison across all models, see our AI API cost per request guide.

Cached Input Pricing: 90% Off Repeated Content

Prompt caching is the single biggest cost reduction for GPT-5.4 Mini. If your application sends the same system prompt or context with every request, cached input pricing cuts that cost by 90%.

How caching works with GPT-5.4 Mini:

The first request pays full price: $0.75/M input
Subsequent requests with the same prefix (minimum 1,024 tokens) pay: $0.075/M input
Output tokens are always $4.50/M regardless of caching
Cache persists for 5-10 minutes of inactivity

Real savings example: Customer support bot

System prompt: 1,200 tokens (above the 1,024 minimum for caching) User query: 150 tokens (variable, not cached) Response: 300 tokens

Metric	Without Caching	With Caching	Savings
System prompt cost	$0.00090	$0.00009	90%
User query cost	$0.00011	$0.00011	0%
Output cost	$0.00135	$0.00135	0%
Total per request	$0.00236	$0.00155	34%
Monthly (50K requests)	18	$77.50	$40.50

Maximizing cache hits:

Put static content (system instructions, few-shot examples, reference documents) at the beginning of your prompt.
Put variable content (user query) at the end.
Keep system prompts above 1,024 tokens to qualify for caching.
Maintain consistent request patterns -- the cache expires after several minutes of inactivity.

TokenMix.ai monitors cache hit rates across your API calls so you can verify caching is working. Check your caching efficiency at TokenMix.ai.

Batch API Pricing: 50% Off Everything

The Batch API gives a flat 50% discount on GPT-5.4 Mini for workloads that do not need real-time responses.

Batch pricing:

Component	Standard	Batch	Savings
Input	$0.75/M	$0.375/M	50%
Output	$4.50/M	$2.25/M	50%
Cached Input	$0.075/M	$0.0375/M	50% (from cached rate)

Batch + caching combined is the cheapest way to use GPT-5.4 Mini:

$0.0375/M cached input + $2.25/M output. That is 95% cheaper than standard GPT-5.4 input and 77.5% cheaper than standard GPT-5.4 output.

What the Batch API is good for:

Content generation at scale
Data extraction and classification
Bulk summarization
Evaluation and scoring
Test data generation
Translation jobs

What it is not good for:

Real-time chat
Interactive applications
Anything needing sub-second responses

Batch API turnaround: Most batch jobs complete within 1-6 hours, well under the 24-hour SLA. For large batches (10,000+ requests), expect 2-8 hours.

For more on batch processing, see our OpenAI cost reduction guide.

GPT-5.4 Mini vs GPT-4o: Why Mini Replaces It

GPT-5.4 Mini is positioned as the successor to GPT-4o in OpenAI's model lineup. Here is why most teams should migrate.

Performance comparison:

Benchmark	GPT-5.4 Mini	GPT-4o	Improvement
MMLU	Higher	Baseline	Significant
HumanEval	Higher	Baseline	Notable
MATH	Higher	Baseline	Notable
Instruction Following	Better	Baseline	Improved
Multilingual	Better	Baseline	Improved

Pricing comparison:

Component	GPT-5.4 Mini	GPT-4o (legacy)	Savings
Input	$0.75/M	$2.50/M	70%
Output	$4.50/M	0.00/M	55%
Cached Input	$0.075/M	.25/M	94%
Batch Input	$0.375/M	.25/M	70%
Context Window	128K	128K	Same

The verdict: GPT-5.4 Mini is better quality and cheaper than GPT-4o. There is no technical reason to stay on GPT-4o. The migration is straightforward -- change the model name from gpt-4o to gpt-5.4-mini in your API calls.

Migration checklist:

Change model parameter: model="gpt-5.4-mini"
Test on 100-200 representative requests from your production traffic
Verify output quality meets your standards
Monitor token usage (tokenizer may differ slightly)
Update cost projections based on new pricing

GPT-5.4 Mini vs Other Budget Models

GPT-5.4 Mini competes with several budget-tier models. Here is how it stacks up.

Model	Provider	Input (/1M)	Output (/1M)	Quality Tier	Context
GPT-5.4 Mini	OpenAI	$0.75	$4.50	High-mid	128K
GPT-4.1 mini	OpenAI	$0.40	.60	Mid	128K
GPT-4.1 nano	OpenAI	$0.10	$0.40	Lower-mid	128K
Gemini 2.0 Flash	Google	$0.075	$0.30	Mid	1M
DeepSeek V3	DeepSeek	$0.14	$0.28	Mid	64K
Claude Haiku 3.5	Anthropic	$0.80	$4.00	Mid	200K

Where GPT-5.4 Mini wins:

Higher quality than GPT-4.1 mini and nano on complex tasks
Better instruction following than most budget models
Strong reasoning capabilities, closer to flagship than budget

Where it loses on price:

Gemini 2.0 Flash is 10x cheaper on input ($0.075 vs $0.75)
DeepSeek V3 is 5x cheaper on input ($0.14 vs $0.75)
GPT-4.1 mini is nearly 2x cheaper ($0.40 vs $0.75)

The positioning: GPT-5.4 Mini is not the cheapest budget model. It is a quality-price sweet spot -- better than budget models, cheaper than flagships. Choose it when GPT-4.1 mini is not good enough but GPT-5.4 is too expensive.

TokenMix.ai tracks real-time pricing and benchmark performance across all these models. Compare at TokenMix.ai.

Cost at 5 Usage Levels

Real monthly costs for GPT-5.4 Mini at five different scales. Assumes average request of 500 input tokens and 300 output tokens.

Level 1: Hobby (1,000 requests/month)

Pricing Tier	Input Cost	Output Cost	Monthly Total
Standard	$0.38	.35	.73
With caching (70% cached)	$0.14	.35	.49
Batch + cached	$0.07	$0.68	$0.75

Level 2: Side Project (10,000 requests/month)

Pricing Tier	Input Cost	Output Cost	Monthly Total
Standard	$3.75	3.50	7.25
With caching (70% cached)	.35	3.50	4.85
Batch + cached	$0.68	$6.75	$7.43

Level 3: Small Business (100,000 requests/month)

Pricing Tier	Input Cost	Output Cost	Monthly Total
Standard	$37.50	35.00	72.50
With caching (70% cached)	3.50	35.00	48.50
Batch + cached	$6.75	$67.50	$74.25

Level 4: Growth Startup (500,000 requests/month)

Pricing Tier	Input Cost	Output Cost	Monthly Total
Standard	87.50	$675.00	$862.50
With caching (70% cached)	$67.50	$675.00	$742.50
Batch + cached	$33.75	$337.50	$371.25

Level 5: Scale-Up (2,000,000 requests/month)

Pricing Tier	Input Cost	Output Cost	Monthly Total
Standard	$750.00	$2,700.00	$3,450.00
With caching (70% cached)	$270.00	$2,700.00	$2,970.00
Batch + cached	35.00	,350.00	,485.00

Key insight: At scale (Level 5), the difference between standard pricing and batch + cached is over ,900/month. Caching and batching are not optional optimizations -- they are essential cost management.

How to Minimize GPT-5.4 Mini Costs

Optimization	Savings	Implementation
Enable prompt caching	90% on cached inputs	Structure prompts: static first, variable last
Use Batch API	50% on all tokens	Switch non-real-time to `/v1/batches`
Set max_tokens	20-40% on output	Limit response length to what you need
Compress prompts	15-30% on input	Remove filler, abbreviate instructions
Route via TokenMix.ai	10-20% additional	Use cheaper models for simple tasks

The optimization stack:

Start with caching. Zero code change, immediate savings.
Add batch for qualifying workloads. 50% more savings on non-real-time tasks.
Set appropriate max_tokens. Quick win on output costs.
Route simple tasks to cheaper models. Through TokenMix.ai, send classification to GPT-4.1 nano, keep complex tasks on GPT-5.4 Mini.

When to Use GPT-5.4 Mini vs Other Models

Scenario	Best Model	Why
Highest quality needed	GPT-5.4 ($2.50/M in)	Best benchmarks overall
Good quality, reasonable cost	GPT-5.4 Mini ($0.75/M in)	Sweet spot
Budget priority, simple tasks	GPT-4.1 mini ($0.40/M in)	Cheaper, sufficient for simple work
Absolute lowest cost	GPT-4.1 nano ($0.10/M in)	Classification, extraction only
Cheapest non-OpenAI	Gemini 2.0 Flash ($0.075/M in)	10x cheaper, comparable to mini
Best coding	Claude Sonnet 4 ($3.00/M in)	Leads SWE-bench
Want the best of all	TokenMix.ai routing	Right model per task, one API

GPT-5.4 Mini's sweet spot: Applications that need better-than-GPT-4.1-mini quality -- multi-step reasoning, nuanced analysis, detailed generation -- but cannot justify GPT-5.4 flagship pricing. This covers a large segment of production applications.

Conclusion

GPT-5.4 Mini at $0.75/M input and $4.50/M output is OpenAI's best value model in 2026. It replaces GPT-4o with better quality at 55-70% lower cost. With caching, input drops to $0.075/M. With batch processing, everything costs 50% less.

For most applications, the optimization path is clear: cache your system prompts (90% input savings), use batch for non-real-time workloads (50% savings), and set max_tokens to prevent verbose output. A team processing 500K requests/month can reduce costs from $862 to $371 with these optimizations.

For teams using multiple models, TokenMix.ai provides unified access to GPT-5.4 Mini alongside 300+ other models. Route each task to the optimal model automatically. Check real-time GPT-5.4 Mini pricing and compare with alternatives at TokenMix.ai.

FAQ

How much does GPT-5.4 Mini cost per request?

A typical request (500 input tokens, 300 output tokens) costs $0.00173 at standard rates. With prompt caching, the same request drops to $0.00139. With batch processing, it is $0.00086. The exact cost depends on your input/output token distribution. TokenMix.ai tracks per-request costs in real-time.

Is GPT-5.4 Mini better than GPT-4o?

Yes. GPT-5.4 Mini scores higher than GPT-4o on major benchmarks (MMLU, HumanEval, MATH) while costing 55-70% less. It has the same 128K context window. There is no reason to continue using GPT-4o -- GPT-5.4 Mini is a direct upgrade in both quality and price.

What is the cheapest way to use GPT-5.4 Mini?

Combine prompt caching with batch processing. Cached batch input costs $0.0375/M tokens -- 95% cheaper than standard GPT-5.4 Mini input. This works for any non-real-time workload with repeated system prompts. For real-time applications, caching alone reduces input costs by 90%.

Should I use GPT-5.4 Mini or GPT-4.1 mini?

GPT-4.1 mini ($0.40/M input) is cheaper and sufficient for simple tasks -- classification, extraction, formatting, basic Q&A. GPT-5.4 Mini ($0.75/M input) is better for tasks requiring multi-step reasoning, nuanced analysis, and detailed generation. Test both on your specific use case with 200+ samples to determine if the quality difference matters.

How does GPT-5.4 Mini compare to Gemini 2.0 Flash?

Gemini 2.0 Flash ($0.075/M input) is 10x cheaper than GPT-5.4 Mini ($0.75/M). Quality is comparable for many tasks, but GPT-5.4 Mini has an edge on complex reasoning and instruction following. Gemini Flash offers a 1M token context window versus 128K. For cost-sensitive applications, Gemini Flash is the stronger value.

Can I use GPT-5.4 Mini through TokenMix.ai?

Yes. TokenMix.ai supports GPT-5.4 Mini through its OpenAI-compatible endpoint. Use the model name gpt-5.4-mini with your TokenMix.ai API key. You get unified billing, automatic failover, and access to 300+ other models through the same endpoint. Compare pricing at TokenMix.ai.

Author: TokenMix Research Lab | Last Updated: April 2026 | Data Source: OpenAI Pricing, OpenAI Model Documentation, TokenMix.ai