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GPT-5.1 vs GPT-5 Nano

A side-by-side comparison of two multimodal models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.

Quick verdict: which should you choose?

Choose GPT-5.1 if you need

  • higher intelligence index of 27.4 for demanding multimodal tasks
  • strong multimodal integration beyond basic input support
  • maximum capability when context latency is acceptable
  • scenarios where verified performance depth outweighs cost

Choose GPT-5 Nano if you need

  • much higher output speed of 170.06 t/s for rapid responses
  • dramatically lower price at $0.4 per million tokens
  • lightweight handling of large contexts with extended documents
  • practical efficiency when advanced reasoning depth is secondary

Verdict

GPT-5.1 leads on raw intelligence (27.4 vs 26.8) and claims stronger multimodal integration, while GPT-5 Nano wins decisively on speed (170 vs 116 t/s) and price ($0.4 vs $10 per million tokens). Both share identical 400k context and text/image/file support from OpenAI, but Nano's lightweight design trades depth for efficiency. GPT-5.1 suits complex reasoning needs; Nano fits high-volume, cost-sensitive workloads.

GPT-5.1 vs GPT-5 Nano: side by side

SpecGPT-5.1GPT-5 NanoWinner
Intelligence27.426.8GPT-5.1
Output speed116 t/s170 t/sGPT-5 Nano
Output price$10.00/1M$0.40/1MGPT-5 Nano
Context400K400KTie
ParamsTie
TypeProprietaryProprietaryTie
ProviderOpenAIOpenAITie

Detailed analysis

Intelligence

Winner: GPT-5.1

GPT-5.1 scores 27.4 on the intelligence index compared to 26.8 for GPT-5 Nano. This edge aligns with its described strong multimodal integration. Nano's lower score matches its noted trade-off in advanced task performance and complex reasoning.

Speed

Winner: GPT-5 Nano

GPT-5 Nano delivers 170.06 tokens per second versus 115.83 for GPT-5.1. Its lightweight design explicitly supports faster responses. GPT-5.1 notes potential latency at maximum context as a counterpoint.

Pricing

Winner: GPT-5 Nano

GPT-5 Nano costs $0.4 per million tokens while GPT-5.1 costs $10 per million. The 25x price difference favors Nano for high-volume use. Both are proprietary OpenAI models with no other cost details provided.

Context & Modalities

Winner: Tie

Both models share a 400000 token context window and native support for text, images, and files. Neither includes audio or video. GPT-5.1 emphasizes very large context while Nano stresses efficient handling of the same size.

GPT-5.1

Pros

  • +Very large context window
  • +Native support for images, text, and files
  • +Strong multimodal integration

Cons

  • No audio or video modalities
  • Performance details unverified beyond specs
  • Potential latency with maximum context
Full GPT-5.1 review →

GPT-5 Nano

Pros

  • +Handles very large contexts efficiently
  • +Supports text, image, and file inputs
  • +Lightweight design for faster responses
  • +Practical for extended document tasks

Cons

  • Lower capability depth than full-scale models
  • May struggle with highly complex reasoning
  • Trade-off in advanced task performance
Full GPT-5 Nano review →

Summary: GPT-5.1 vs GPT-5 Nano

Choose GPT-5.1 when maximum intelligence and integration depth are required despite higher cost and slower speed. Select GPT-5 Nano for speed, affordability, and efficient large-context work where slightly lower capability is acceptable. The choice hinges on whether intelligence or efficiency drives the workload.

Frequently asked questions

GPT-5.1 is better for intelligence-heavy multimodal work while GPT-5 Nano is better for speed and cost efficiency; neither is universally superior.

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