LLM Reference

GPT-5 Nano

gpt-5-nano

Researched 13d ago

Last refreshed 2026-05-22. Next refresh: weekly.

ProprietaryMultimodalCodingRAGAgentsLong contextVisionJSON / Tool use

GPT-5 Nano is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.

Decision context: Coding task fit, 4 tracked provider routes, and research from 2026-05-10.

Use it for

  • Teams evaluating coding, rag, and agents
  • Workloads that can use a 400K context window
  • Buyers comparing 4 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence

Cheapest output

$0.400

OpenAI API per 1M tokens

Provider routes

4

Tracked API hosts

Quality / dollar

Unknown

No task benchmark coverage yet

Freshness

2026-05-10

Researched 13d ago

fresh

Top use-case fit

Coding

Included by capability and metadata signals in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Included by capability and metadata signals in the decision map.

Provider price ladder

Compare all 4
ProviderInput / 1MOutput / 1MBatch in / outCacheRoute
OpenAI API$0.050$0.400$0.025 / $0.200read $0.005
Serverless
OpenRouter$0.050$0.400--
Serverless
Replicate API$0.050$0.400--
Serverless
Vercel AI Gateway$0.050$0.400-read $0.005
Serverless

Benchmark peer barsfor Coding

No task-mapped benchmark peers are available for this model yet.

Migration checks

No linked migration route is available for this model yet.

About

Fastest, cheapest GPT-5 variant for summarization and classification tasks. Also available via Realtime API.

GPT-5 Nano has a 400K-token context window.

GPT-5 Nano input tokens at $0.05/1M, output at $0.4/1M.

Capabilities

VisionMultimodalReasoningFunction CallingTool UseStructured OutputsCode ExecutionPrompt CachingBatch API

Rankings

Specifications

FamilyGPT-5
Released2025-08-07
Context400K
Max output128,000
ArchitectureDecoder Only
Knowledge cutoff2024-05
Specializationgeneral
LicenseProprietary
Trainingpretrained

Created by

Cutting-edge research and development.

San Francisco, California, United States
Founded 2015
Website