The best pick for budget-conscious, high-volume workloads that don't demand frontier intelligence.
High-volume production workloads like classification, extraction, summarization, and simple Q&A where cost and speed matter more than frontier reasoning.
Exceptionally low cost at $0.10/1M input tokens — cheaper than Gemini Flash and GPT-4o Mini
Massive 1M token context window at budget pricing, rare among nano-tier models
Very fast inference suitable for real-time applications and high-throughput pipelines
Solid instruction-following for structured tasks like data extraction and classification
Noticeably weaker at complex multi-step reasoning compared to GPT-4.1 or Claude Sonnet 4.6
See what OpenAI: GPT-4.1 Nano actually costs at your usage level
Based on OpenAI: GPT-4.1 Nano API pricing: $0.09999999999999999/1M input · $0.39999999999999997/1M output. Real costs vary by provider discounts and caching. Check the provider for exact current rates.
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→0% since May 9
4 data points · tracked daily since May 9, 2026
High-volume production workloads like classification, extraction, summarization, and simple Q&A where cost and speed matter more than frontier reasoning.. Start free — no card required.
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GPT-4.1 Mini is OpenAI's cost-optimized small model from the GPT-4.1 family, designed to deliver strong instruction-following and coding performance at a fraction of flagship pricing. It targets high-volume, latency-sensitive applications where cost efficiency matters more than peak capability.
Pricing moves, ranking shifts, and capability updates.
OpenAI: GPT-4.1 Nano (OpenAI) is now indexed. It supersedes GPT-4o. The best pick for budget-conscious, high-volume workloads that don't demand frontier intelligence.
View modelOpenAI: GPT-4.1 Nano is best for high-volume production workloads like classification, extraction, summarization, and simple q&a where cost and speed matter more than frontier reasoning.. It is a strong fit when that workflow matters more than the tradeoffs around budget pricing and very fast speed.
You need complex reasoning, deep coding assistance, or high-quality long-form creative writing — use GPT-4.1 or Claude Sonnet 4.6 instead.
Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.
OpenAI: GPT-4.1 Mini is the better pick when response time matters more than maximum depth or premium quality.
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You need complex reasoning, deep coding assistance, or high-quality long-form creative writing — use GPT-4.1 or Claude Sonnet 4.6 instead.
Creative writing quality is shallow — struggles with nuanced tone, voice, and long-form coherence
Not suitable for hard coding problems or agentic tasks requiring deep logical chaining
GPT-5 Mini is OpenAI's budget-tier distillation of GPT-5, designed for high-volume, cost-sensitive tasks that don't require full flagship reasoning depth. It supersedes GPT-4o with improved instruction following and a massively expanded 400K context window at a fraction of the cost.
GPT-5 Nano is OpenAI's smallest and fastest model in the GPT-5 family, optimized for high-throughput, low-latency tasks at near-minimal cost. It supersedes GPT-4o as the go-to option for lightweight inference at scale.
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