OpenAI · Efficient
GPT 5 Nano
Optimized for speed and ideal for applications requiring low latency. The fastest and most efficient GPT-5 variant.
- Reasoning
- Vision
- Input
- Text, Images
- Output
- Text
- Reasoning effort
- minimal · low · medium · high
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.05
- Output
- $0.40
- Cache read
- $0.005
Reference prices as published by the model provider. API example
Specifications
- Context window
- 400K
- Max output
- 128K
- Average output (7 days)
- 322 tokens
- Longer than 35% of 468 models
Side by side
GPT 5 Nano compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GPT 5 NanoOpenAIThis model | DeepSeek R1 0528DeepSeekRemove | |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| Discovery tier | Efficient | Open weights |
| Added | Aug 7, 2025 | May 28, 2025 |
| Limits | ||
| Context window | 400KBest | 163.84K |
| Max output | 128KBest | 32.77K |
| Average output | 322 tokens | 1K tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.05Best | $0.50 |
| Output | $0.40Best | $2.15 |
| Cache read | $0.005Best | $0.35 |
| Performance | ||
| Throughput | 96.6 tok/sBest | 39.3 tok/s |
| Time to first token | 1.8 s | 1.3 sBest |
| Request success (24h) | 99.9% | 99.9% |
| Benchmark indexes | ||
| Intelligence Index | 13.0 | 13.1Best |
| Math Index | 83.7Best | 76.0 |
| Capabilities | ||
| Reasoning | Yes | Yes |
| Tools | No | Yes |
| Vision | Yes | No |
| Reasoning effort | minimal, low, medium, high | — |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GPT 5 Nano
- DeepSeek R1 0528
Intelligence Index
- GPT 5 Nano13.0
- DeepSeek R1 052813.1
GPT 5 Nano tested at high reasoning effort
GPT 5 Nano: Better than 31% of 326 scored models
Indexes
Math Index
Composite of the math evaluations
- GPT 5 Nano: 83.7Top
- DeepSeek R1 0528: 76.0
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GPT 5 Nano: 45.0%
- DeepSeek R1 0528: 55.7%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT 5 Nano: 9.5%
- DeepSeek R1 0528: 15.8%Top
GPQA Diamond
Graduate-level science questions
- GPT 5 Nano: 67.6%
- DeepSeek R1 0528: 81.3%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- GPT 5 Nano: 78.0%
- DeepSeek R1 0528: 84.9%Top
IFBench
Following precise output instructions
- GPT 5 Nano: 67.6%Top
- DeepSeek R1 0528: 39.6%
Coding
LiveCodeBench
Recent competitive programming problems
- GPT 5 Nano: 78.9%Top
- DeepSeek R1 0528: 77.0%
Math
AIME 2025
Competition mathematics, 2025 problems
- GPT 5 Nano: 83.7%Top
- DeepSeek R1 0528: 76.0%
AIME
Competition mathematics
- GPT 5 Nano: —
- DeepSeek R1 0528: 89.3%
MATH-500
Competition math problems
- GPT 5 Nano: —
- DeepSeek R1 0528: 98.3%
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GPT 5 Nano: 12.1%
- DeepSeek R1 0528: 15.9%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- GPT 5 Nano: 36.5%Top
- DeepSeek R1 0528: 36.5%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT 5 Nano: 45.0%
- DeepSeek R1 0528: 55.7%Top
Scores from Artificial Analysis, updated Oct 26, 2026. GPT 5 Nano was tested at high reasoning effort; compare scores measured at the same effort.Artificial Analysis
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Throughput
- 96.6 tok/s
- Faster than 62% of 254 models
- Time to first token
- 1.8 s
- Quicker than 86% of 254 models
- Prompt cache hits
- 29.1%
- About $0.0369 per 1M input tokens with caching
- Request success (24h)
- 99.9%
- Reliable
Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai/gpt-5-nano",
"reasoning_effort": "medium",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="openai/gpt-5-nano",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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