GPT-5 Mini API Pricing: $0.25/$2.00 Per Million Tokens
GPT-5 mini is 70% cheaper than GPT-5.4 with strong reasoning quality — but shutting down Dec 11, 2026. Here's what you need to know.
TL;DR
- Price: $0.25/M input, $2.00/M output — 70% cheaper than GPT-5.4 ($2.50/$15.00)
- Context: 272K tokens — handles large documents and multi-turn conversations
- Provider: OpenAI API (platform.openai.com)
- Best for: Chatbots, content moderation, summarization, Q&A, classification
- Deprecation: Shutting down Dec 11, 2026 (~4 months left). Migrate to GPT-5.6 Terra ($2.00/$12.00) or GPT-5.6 Luna ($0.20/$1.20)
- Trade-off: 5x more expensive than GPT-5 nano ($0.05/$0.40) but significantly better reasoning
Deprecation Notice: GPT-5 Mini Shutting Down Dec 11, 2026
OpenAI has announced that GPT-5 mini will be retired on December 11, 2026. After this date, API calls to GPT-5 mini will fail. You have approximately 4 months to migrate.
Migration options:
- GPT-5.6 Terra ($2.00/$12.00) — the official replacement. Higher quality than GPT-5 mini, closer to GPT-5.4. Best if you need the strongest reasoning in this price range.
- GPT-5.6 Luna ($0.20/$1.20) — a budget alternative that's actually cheaper than GPT-5 mini. Good option if cost is the priority and you can accept slightly lower quality than Terra.
- GPT-5 nano ($0.05/$0.40) — for ultra-cheap, high-volume tasks like classification and extraction. Limited reasoning but unbeatable on cost.
We recommend starting migration now. Switch to GPT-5.6 Luna first — it's cheaper and likely covers most GPT-5 mini use cases. Upgrade to Terra only if quality tests show a regression.
GPT-5 Mini Pricing Breakdown
At $0.25 per million input tokens and $2.00 per million output tokens, GPT-5 mini is 70% cheaper than GPT-5.4 ($2.50/$15.00) on both input and output. Here's how the costs scale:
| Monthly Volume | Input Cost | Output Cost | Total Cost |
|---|---|---|---|
| 1M tokens | $0.25 | $2.00 | $2.25 |
| 10M tokens | $2.50 | $20.00 | $22.50 |
| 100M tokens | $25.00 | $200.00 | $225.00 |
| 1B tokens | $250.00 | $2,000.00 | $2,250.00 |
At 100M tokens/month, GPT-5 mini costs $225. The same volume on GPT-5.4 would cost $1,275 — a $1,050/month savings. On GPT-5 nano it would be just $45, but with weaker reasoning.
How GPT-5 Mini Compares to Other Budget Models
| Model | Input $/M | Output $/M | Context | Provider |
|---|---|---|---|---|
| GPT-5 nano | $0.05 | $0.40 | 128K | OpenAI |
| GPT-5.4 nano | $0.20 | $1.25 | 128K | OpenAI |
| Qwen 3.7 Flash | $0.03 | $0.13 | 1M | Alibaba |
| GPT-5 mini | $0.25 | $2.00 | 272K | OpenAI |
| Gemini 2.5 Flash-Lite | $0.10 | $0.40 | 1M | |
| Ministral 3 3B | $0.10 | $0.10 | 128K | Mistral |
GPT-5 mini sits in a unique position: it's significantly cheaper than GPT-5.4 while offering much better reasoning than nano-class models. The 272K context window is larger than most OpenAI budget models (128K) but smaller than Qwen 3.7 Flash or Gemini 2.5 Flash-Lite (1M).
GPT-5 Mini vs GPT-5 Nano: Is 5x Worth It?
GPT-5 mini costs 5x more than GPT-5 nano on input and output. Here's what that premium gets you:
| Feature | GPT-5 nano | GPT-5 mini |
|---|---|---|
| Input price | $0.05/M | $0.25/M |
| Output price | $0.40/M | $2.00/M |
| Context window | 128K | 272K |
| Reasoning | Basic | Strong |
| Function calling | Yes | Yes |
| Structured outputs | Yes | Yes |
| Best for | Classification, extraction | Chatbots, summarization, Q&A |
Rule of thumb: Use GPT-5 nano for simple classification, extraction, and moderation tasks. Upgrade to GPT-5 mini when you need better reasoning, longer context, or more nuanced responses — like customer-facing chatbots or document summarization.
When to Use GPT-5 Mini
Chatbots
Customer support, sales assistants, and conversational agents. Strong enough for multi-turn dialogue at a fraction of GPT-5.4's cost.
Content Moderation
Flag policy violations, spam, and inappropriate content at scale. Better judgment than nano models for edge cases.
Summarization
Condense documents, meeting notes, and support tickets. 272K context handles long documents in a single pass.
Q&A Systems
Knowledge base lookups, FAQ bots, and internal helpdesks. Provides accurate, well-structured answers from context.
Classification
Intent detection, sentiment analysis, ticket routing. More accurate than nano models on ambiguous inputs.
Draft Generation
Email drafts, report outlines, first-pass content. Good quality at budget pricing for non-critical output.
When NOT to Use GPT-5 Mini
GPT-5 mini is a strong mid-tier model, but it has limits. Upgrade or downgrade when:
- Complex reasoning: Multi-step logic, advanced math, or complex code generation → use GPT-5.4 ($2.50/$15) or Claude Sonnet 5 ($2/$10)
- Critical content: Customer-facing marketing, legal documents, or creative writing → use Claude Opus 5 ($5/$25)
- Ultra-high volume: Millions of simple classifications or extractions → save money with GPT-5 nano ($0.05/$0.40)
- Very large context: Documents over 272K tokens → use Qwen 3.7 Flash (1M, $0.03/$0.13) or Gemini 2.5 Flash-Lite (1M, $0.10/$0.40)
- Long-term projects: GPT-5 mini shuts down Dec 11, 2026 → start migrating to GPT-5.6 Luna ($0.20/$1.20) or Terra ($2.00/$12.00) now
Real-World Cost Scenario
Let's say you're running 50,000 customer support conversations per month, with an average of 1,500 input tokens and 500 output tokens per conversation:
| Model | Monthly Input | Monthly Output | Total |
|---|---|---|---|
| GPT-5 nano | $3.75 | $10.00 | $13.75 |
| GPT-5.4 nano | $15.00 | $31.25 | $46.25 |
| GPT-5 mini | $18.75 | $50.00 | $68.75 |
| Gemini 2.5 Flash-Lite | $7.50 | $10.00 | $17.50 |
| GPT-5.4 | $187.50 | $375.00 | $562.50 |
GPT-5 mini costs $68.75/month for 50K support conversations — 8x cheaper than GPT-5.4 ($562.50) while delivering strong conversational quality. Gemini 2.5 Flash-Lite is cheaper at $17.50, but GPT-5 mini offers better reasoning and OpenAI ecosystem integration.
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