OpenAI: GPT-5 Nano
Analysis Summary
OpenAI: GPT-5 Nano is developed by OpenAI. It was released in August 2025. On our leaderboard it earns Specialist-tier status, ranking #110 of 571 models in our overall business-suitability ranking. For raw reasoning ability it ranks #128 of 374, putting it in the upper half for overall intelligence.
On coding it ranks #140 of 311, a reasonable fit for everyday development support. For agentic automation it sits at #157 of 286, handling the multi-step, tool-using tasks that power AI agents. Its 400K-token context window is larger than 85% of the models we list, suiting long documents, large codebases, and retrieval-heavy workloads. Crucially for business adoption, OpenAI: GPT-5 Nano combines tool use, function calling, vision input, and step-by-step reasoning in a single model, letting teams consolidate several use cases instead of stitching together multiple services.
At $0.050 input and $0.400 output per 1M tokens, OpenAI: GPT-5 Nano is aggressively priced for high-volume use which makes it easy to justify for cost-sensitive, high-throughput deployments. OpenAI: GPT-5 Nano is best deployed where its particular strengths line up with the task, rather than as a general-purpose frontier model.
Editorial notes
GPT-5 Nano from OpenAI offers vision, tool use, and a 400K context window at very low cost, with strong math performance; reasoning and agentic scores are limited but the value proposition is strong for lightweight tasks.
Assessed May 31, 2026
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How OpenAI: GPT-5 Nano compares
OpenAI: GPT-5 Nano ranks #128 of 374 AI models we track for overall intelligence, #140 of 311 for coding, #157 of 286 for agentic tasks. Its 400K-token context window is larger than 85% of the models we list. At $0.05 per million input tokens it is cheaper than 73% of comparable models.
About OpenAI: GPT-5 Nano
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger..
Capabilities
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does OpenAI: GPT-5 Nano stack up?
Compare side-by-side with other specialist models.
Model Information
| OpenRouter ID |
openai/gpt-5-nano
|
| Provider | openai |
| Release Date | August 7, 2025 |
| Context Length | 400,000 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.05 | $0.000050 |
| Output | $0.40 | $0.000400 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Explore Related Models
Frequently asked questions about OpenAI: GPT-5 Nano
How much does OpenAI: GPT-5 Nano cost?
OpenAI: GPT-5 Nano costs $0.05 per million input tokens and $0.40 per million output tokens.
What is the context window of OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano has a context window of 400,000 tokens (400K).
Is OpenAI: GPT-5 Nano good for coding?
On our coding benchmark index, OpenAI: GPT-5 Nano ranks #140 of 311 models, placing it in the broader range of the field for code generation and debugging.
What can OpenAI: GPT-5 Nano do?
OpenAI: GPT-5 Nano supports image/vision input, tool use, and function calling.
Who created OpenAI: GPT-5 Nano?
OpenAI: GPT-5 Nano is developed by OpenAI and was released on August 7, 2025.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 5, 2026 8:38 pm