GPT-4.1 nano

GPT-4.1 Nano is the entry-level variant of OpenAI's GPT-4.1 family, launched alongside GPT-4.1 and GPT-4.1 mini as the company's first-ever nano-tier model. The family shares an emphasis on long-context comprehension, supporting up to one million tokens, and was trained with a refreshed June 2024 knowledge cutoff. Within this lineup, GPT-4.1 Nano is positioned as the fastest and most cost-efficient option, targeting low-latency workloads such as classification, extraction, routing, tagging, and code or text autocompletion where large volumes of short requests make per-token economics critical.

Although GPT-4.1 Nano is the smallest member of its family, it retains the same one-million-token context window and multimodal input handling as its siblings, allowing it to ingest long documents, PDFs, and images alongside text. Third-party benchmarks reported on routing and documentation sites score it at 80.1 percent on MMLU, 50.3 percent on GPQA, and 9.8 percent on the Aider polyglot coding evaluation, with the coding and instruction-following figures exceeding those of GPT-4o mini. These characteristics make it a practical choice for embedding it into tiered retrieval or routing architectures where a lightweight, cheap model can handle the bulk of traffic while larger GPT-4.1 variants are reserved for harder reasoning tasks.

Azuregpt-4.1-nanogpt-nanodeprecated

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Quick Info

Provider: Azure
Model key: gpt-4.1-nano
Release date: Apr 14, 2025
Last updated: Apr 14, 2025
Knowledge cutoff: 2024-04
Input modalities
Output modalities
Capabilities

Cost

Input token cost: $0.10
Output token cost: $0.40

Limits

Output tokens: 32,768 tokens
Context window: 1,047,576 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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Latest news about GPT-4.1 nano

Azure Cognitive Services

CoverageBenchmark

GPT-4.1 Nano, developed by OpenAI, is the smallest member of the GPT-4.1 family, supporting a 1M-token context window, a 32.8K-token output limit, and multimodal inputs (image, text, file) with text outputs and the GPT tokenizer. According to the page, it was released on April 14, 2025, with a knowledge cutoff of June Pricing on the page is listed at $0.10 per million input tokens and $0.40 per million output tokens, with a $0.02 per million cache-read cost and $0.01 per web search operation. Benchmark figures include a Coding Index of 11.1 (Artificial Analysis) and a Best Design Arena score of 993 Elo (111 in Game Dev with a 49.6%

Azure

CoverageBenchmark

Artificial Analysis notes that GPT-4.1 nano is now deprecated, with OpenAI recommending migration to GPT-5 nano (medium), and the page only continues benchmarking the default 10k input token workload. Despite deprecation, it reports Azure as the fastest provider for output speed at 241.4 tokens per second, compared to The comparison covers cache-hit, input, and output pricing for both Azure and OpenAI at the 10,000 input token workload, with separate notes on cache write and storage billing that vary by provider. The analysis is intended to help developers choose between the two GPT-4.1 nano API providers based on throughput, latenc

Azure

CoverageBenchmark

OpenRouter's listing for GPT-4.1 Nano confirms Azure is one of two hosted providers alongside OpenAI, with Azure listed at $0.10 input / $0.40 output per 1M tokens, a cache-read price of $0.03, a measured P50 latency of 0.73s, throughput of 15 tps, and 99.98% uptime. The model supports a 1M token context window, scores The page also reports per-provider benchmark performance: Azure scores 49.0% on GPQA Diamond and 14.7% on Tau-Bench, compared to OpenAI's 47.1% GPQA and 14.0% Tau-Bench scores, while auto-routing across providers yields 51.9% GPQA and 10.7% Tau-Bench. OpenRouter's three-day availability for GPT-4.1 Nano reaches 100% up