Key Highlights
- Most Capable Small Models: GPT-5.4 Mini significantly improves over GPT-5 Mini across coding, reasoning, multimodal understanding, and tool use — over 2x faster
- Ultra Cost-Effective: GPT-5.4 Nano at just $0.20/M input tokens and $1.25/M output tokens, the cheapest GPT-5.4 family model
- Near-Flagship Performance: Mini scores 54.4% on SWE-Bench Pro and 72.1% on OSWorld-Verified, approaching full GPT-5.4
- 400K Context Window: Consistent with the GPT-5 family
- Full Capabilities: Text & image input, tool calling, web search, computer use — all supported
Background
On March 17, 2026, OpenAI officially released GPT-5.4 Mini and GPT-5.4 Nano, calling them “the most capable small models yet.” Following the GPT-5.4 flagship launch in early March, this release brings 5.4-level capabilities to lightweight, cost-efficient models. GPT-5.4 Mini targets developers who need high performance on a budget, delivering near-flagship quality at a fraction of the cost. GPT-5.4 Nano is purpose-built for high-throughput, low-cost workloads like classification, data extraction, ranking, and coding subagents. APIYI has immediately launched both models at pricing identical to OpenAI’s official rates, with official API proxy and ~10% deposit bonus.Detailed Analysis
Core Features
2x Faster
GPT-5.4 Mini runs more than 2x faster than GPT-5 Mini with significantly lower latency
Ultra-Low Pricing
Nano can describe 76,000 photos for approximately $52
Near-Flagship
Mini scores 54.4% on SWE-Bench Pro (vs GPT-5.4’s 57.7%)
Full Capabilities
Image understanding, tool calling, web search, computer use — all included
GPT-5.4 Mini Benchmarks
GPT-5.4 Mini dominates across evaluations compared to GPT-5 Mini:GPT-5.4 Mini scores 72.1% on OSWorld-Verified, a 71.7% improvement over GPT-5 Mini’s 42.0%, approaching the flagship GPT-5.4’s 75.0%.
GPT-5.4 Nano Performance
Nano is the smallest, cheapest GPT-5.4 variant, designed for speed and cost-first scenarios:Adjustable Reasoning Effort
Both models support variable reasoning effort levels for flexible cost-performance tradeoffs:none: No reasoning, fastest responselow/medium/high: Increasing reasoning depthxhigh: Maximum reasoning effort
Notably, GPT-5.4 Nano at maximum reasoning effort outperforms the previous GPT-5 Mini, achieving last-generation mid-tier capabilities at a fraction of the cost.
Practical Applications
Recommended Use Cases
GPT-5.4 Mini:- Coding Assistant: 54.4% SWE-Bench Pro, ideal for code generation, review, and debugging
- Autonomous Agents: 72.1% OSWorld, supports computer use and multi-step workflows
- Daily Chat: Default thinking model for ChatGPT Free and Go users
- OpenClaw & Similar: High performance at low cost, perfect for batch intelligent tasks
- Data Pipelines: Classification, extraction, ranking at high throughput
- Coding Subagents: Handle simpler supporting tasks in agent architectures
- Batch Image Understanding: ~$52 for 76,000 photo descriptions
- Real-time Classification: Ultra-low latency, ultra-low cost
Code Examples
Using GPT-5.4 Mini
Using GPT-5.4 Nano for Batch Processing
Pricing & Availability
Pricing
GPT-5.4 Mini costs just 30% of the flagship GPT-5.4 with near-flagship performance. Nano is only 8% of flagship cost — ultimate value.
Promotions
View Latest Deposit Bonus Offers
APIYI offers deposit bonuses — official API proxy with ~10% bonus on deposits. Pricing matches official rates, with effective discounts through deposit bonuses.
Available Models
How to Access
APIYI Platform:- Website:
apiyi.com - API Endpoint:
https://api.apiyi.com/v1 - OpenAI-compatible format, works with all OpenAI SDKs
- Official API proxy, stable and reliable
Summary & Recommendations
GPT-5.4 Mini and Nano bring flagship-level capabilities to developers and applications at dramatically lower costs. Key Advantages:- Mini: Flagship-tier capability at 30% cost, 2x speed
- Nano: Ultra-low pricing at 8% of flagship cost, built for scale
- Near-flagship performance needed: Choose GPT-5.4 Mini (SWE-Bench Pro 54.4%, OSWorld 72.1%)
- High-throughput batch processing: Choose GPT-5.4 Nano ($0.20/M input tokens)
- Agent architecture subtasks: Nano as execution layer, Mini as decision layer
- OpenClaw & similar: Both Mini and Nano work well — choose based on cost-performance needs
- Cost-insensitive professional tasks: Still recommend GPT-5.4 flagship or Pro
Sources: OpenAI official blog (March 17, 2026), 9to5Mac, The New Stack, Simon Willison’s Weblog, and other authoritative sources. Data retrieved: March 18, 2026.