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OpenAIReleased on Aug 7, 2025

GPT-5 nano: Benchmarks, Pricing & Context Window

GPT-5 nano is a language model from OpenAI, released in August 2025, with multimodal input.

GPT-5 nano is the fastest, cheapest version of GPT-5 from OpenAI. It is well-suited for summarization and classification tasks with average reasoning capabilities and very fast speed.

Input
TextImage
Output
Text

GPT-5 nano benchmarks

Capability tiers

Standing within each category, adjusted for leaderboard depth.

Real tasks performance

High-confidence performance for GPT-5 nano across real-world prompt categories. Only 95% intervals at most 4 points wide are shown.

Performance by conversation depth

How GPT-5 nano holds up as conversations get longer.

Quality Tracker

GPT-5 nano Performance Across Datasets

Scores sourced from the model's scorecard, paper, or official blog posts

LLM Stats Logollm-stats.com - Tue Oct 20 2026
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GPT-5 nano pricing

Providers

GPT-5 nano starts at $0.0500 per million input tokens and $0.400 per million output tokens via OpenAI.

ProviderInput $/MCached input $/MOutput $/MContext in / outTTFT p95 sOutput p5 c/sModalities in / out
OpenAI logoOpenAI
$0.0500—$0.400400.0K/128.0K
0.30
—
/

Cached input is the discounted price for prompt tokens served from a provider cache. TTFT is time to first token. Output is characters per second; p5 is the sustained floor exceeded by 95% of observed requests.

GPT-5 nano context window

Input and output token limits for GPT-5 nano, plus how it ranks on long-context understanding.

InputOutput
400Ktokens
128Ktokens
≈ 602 pages of text
400K
8K128K1M

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GPT-5 nano latency

GPT-5 nano time to first token, sustained output throughput, and failed-request rate from live model usage over the trailing 7 days.

GPT-5 nano examples

Recent arena outputs from GPT-5 nano, picked from the highest-ranked matchups.

GPT-5 nano license

GPT-5 nano is a proprietary model available under its provider's product and API terms, has a knowledge cutoff of May 2024.

License
Proprietary
Hosted access
Knowledge cutoff
May 2024

Proprietary license - usage restrictions apply

GPT-5 nano resources

Official sources for GPT-5 nano: provider documentation, official playground, official launch post.

GPT-5 nano vs other models

The most-compared alternatives to GPT-5 nano are Ministral 3 (14B Reasoning 2512), Qwen3.5-9B, o3. Open any pair side-by-side for benchmarks, pricing, context, and latency.

Models like GPT-5 nano

Models ranked just above and below GPT-5 nano by LLM Stats score.

 

Ministral 3 (14B Reasoning 2512)

Score pending
 

Qwen3.5-9B

Score pending
 

o3

Score pending
 

Mistral Small 4

Score pending
 

Mistral Medium 3.5

Score pending
 

Sarvam-30B

Score pending

FAQ

Common questions about GPT-5 nano.

When was GPT-5 nano released?

GPT-5 nano was released on August 7, 2025 by OpenAI. This is the official GPT-5 nano release date tracked on LLM Stats.

How much does GPT-5 nano cost?

GPT-5 nano pricing starts at $0.05 per million input tokens and $0.40 per million output tokens via OpenAI, the lowest price among tracked providers.

Who created GPT-5 nano?

GPT-5 nano was created by OpenAI.

What is the license for GPT-5 nano?

GPT-5 nano is released under the Proprietary license.

What is the knowledge cutoff date for GPT-5 nano?

GPT-5 nano has a knowledge cutoff of May 2024, meaning it was trained on data up to that point and may not know about events after it.

Is GPT-5 nano multimodal?

Yes, GPT-5 nano is multimodal and can accept both text and images as input.

What is GPT-5 nano latency?

GPT-5 nano p95 time to first token is 0.30 seconds via OpenAI over the trailing 7 days. Lower time to first token means the model begins responding sooner for chat, agents and model workloads.

Where can I use GPT-5 nano?

GPT-5 nano is available through 1 provider including OpenAI.

Where is the GPT-5 nano paper or technical report?

GPT-5 nano has a paper or technical report available at https://openai.com/index/gpt-5/. Use that source for architecture, training, release and evaluation details.

What models should I compare GPT-5 nano against?

Common GPT-5 nano comparisons include GPT-5 nano vs Ministral 3 (14B Reasoning 2512), GPT-5 nano vs Qwen3.5-9B, GPT-5 nano vs o3. Compare them side by side for benchmark scores, pricing, context window, latency and provider availability.