OpenAI GPT-5 Nano

GPT-5 Nano is the most compact and responsive member of the GPT-5 family, positioned as the direct successor to GPT-4.1-nano. It is engineered for scenarios where speed and cost efficiency matter more than deep reasoning — developer tooling, quick API call workflows, and high-volume simple inference all fall within its sweet spot. Despite its lean profile, it retains foundational instruction-following and safety behaviors from the broader GPT-5 series, making it a practical entry point for teams building lightweight AI integrations without sacrificing core reliability.

As the cheapest and fastest variant in OpenAI's current lineup, GPT-5 Nano opens the door for use cases that would otherwise be prohibitively expensive at scale — batch classification, log scanning, bulk tagging, and straightforward function-calling pipelines all run cleanly within its capabilities. Output speeds around 169 tokens per second and latency around 66ms make real-time responsiveness achievable. Its reasoning is intentionally scaled down compared to larger GPT-5 models, which means it handles multi-step logical deduction less reliably, but for targeted, well-defined tasks, the economics and responsiveness make it a strong everyday workhorse in production stacks.

Heliconegpt-5-nanogpt-nano

Open provider page Provider docs

Quick Info

Provider: Helicone
Model key: gpt-5-nano
Release date: Jan 1, 2025
Last updated: Jan 1, 2025
Knowledge cutoff: 2025-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost: $0.05
Output token cost: $0.40

Limits

Output tokens: 128,000 tokens
Context window: 400,000 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 OpenAI GPT-5 Nano

Helicone

CoverageBenchmark

The timetoact-group.at "LLM Benchmarks Summer 2025" page includes an exact-version row for GPT-5 Nano, identified as "openai/gpt-5-nano-2025-08-07," placing it within OpenAI's GPT-5 family released on August 7, 2025, with reasoning and structured-output ("SO, Reason") capabilities listed as supported features. In the Summer 2025 benchmark comparison, GPT-5 Nano (2025-08-07) scored 36% on business/IT compliance, 67% on code, 90% on broader compliance, 63% on reasoning, and 66.7% overall, ranking it 16th out of 24+ models — placing it below GPT-5 (79.4%) and GPT-5 mini (76.7%) but ahead of DeepSeek-R1 and several Claude varian

Helicone

CoverageBenchmark

OpenAI released GPT-5 Nano on August 7, 2025, and the Roboflow Playground model page provides a direct technical profile of the variant. GPT-5 Nano is positioned as the smallest and most cost-efficient member of the GPT-5 family, accepting both text and images and supporting tool use, structured outputs, and reasoning, Roboflow's legacy vision benchmark suite records a 58.21% pass rate across 67 visual understanding tasks for GPT-5 Nano, placing it 51st of 77 models evaluated, with an average response time of about 6.58 seconds per task. Pricing on the Roboflow-mediated playground is listed at $0.050 per 1M input tokens and $0.400 pe