OpenAI · Efficient
GPT 4.1 Nano
Cheapest model in the GPT-4.1 series. Huge context window with fast throughput and low latency.
- Vision
- PDF input
- Input
- Text, Images
- Output
- Text
- Discovery tier
- Efficient
Pricing
USD per 1M tokens- Input
- $0.10
- Output
- $0.40
- Cache read
- $0.025
Reference prices as published by the model provider. API example
Specifications
- Context window
- 1M
- Max output
- 32.8K
- Average output (7 days)
- 49 tokens
- Longer than 4% of 468 models
Side by side
GPT 4.1 Nano compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| GPT 4.1 NanoOpenAIThis model | GPT 5.4 NanoOpenAIRemove | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Discovery tier | Efficient | Efficient |
| Added | Jan 1, 2024 | Mar 17, 2026 |
| Limits | ||
| Context window | 1.05MBest | 400K |
| Max output | 32.77K | 128KBest |
| Average output | 49 tokens | 515 tokens |
| Pricing, USD per 1M tokens | ||
| Input | $0.10Best | $0.20 |
| Output | $0.40Best | $1.25 |
| Cache read | $0.025 | $0.02Best |
| Performance | ||
| Request success (24h) | 100.0% | 100.0% |
| Benchmark indexes | ||
| Intelligence Index | 7.8 | 11.7Best |
| Coding Index | 11.1 | — |
| Math Index | 24.0 | — |
| Capabilities | ||
| Reasoning | No | Yes |
| Tools | No | Yes |
| Vision | Yes | Yes |
| Structured output | No | Yes |
| PDF input | Yes | Yes |
| Reasoning effort | — | none, low, medium, high, xhigh |
Public evaluations
Benchmarks
Independent evaluation results, with how each score ranks among the models in the Noumen catalog.
- GPT 4.1 Nano
- GPT 5.4 Nano
Intelligence Index
- GPT 4.1 Nano7.8
- GPT 5.4 Nano11.7
GPT 4.1 Nano: Better than 12% of 326 scored models
Indexes
Coding Index
Composite of the coding evaluations
- GPT 4.1 Nano: 11.1
- GPT 5.4 Nano: —
Math Index
Composite of the math evaluations
- GPT 4.1 Nano: 24.0
- GPT 5.4 Nano: —
Document reasoning
AA-LCRv1.1
Reasoning across long documents
- GPT 4.1 Nano: 20.3%
- GPT 5.4 Nano: 29.7%Top
Reasoning and knowledge
Humanity’s Last Exam
Expert-level questions across academic fields
- GPT 4.1 Nano: 3.8%
- GPT 5.4 Nano: 4.1%Top
GPQA Diamond
Graduate-level science questions
- GPT 4.1 Nano: 51.2%
- GPT 5.4 Nano: 55.8%Top
MMLU-Pro
Multi-subject knowledge and reasoning
- GPT 4.1 Nano: 65.7%
- GPT 5.4 Nano: —
IFBench
Following precise output instructions
- GPT 4.1 Nano: 32.0%
- GPT 5.4 Nano: 32.7%Top
Coding
LiveCodeBench
Recent competitive programming problems
- GPT 4.1 Nano: 32.6%
- GPT 5.4 Nano: —
Math
AIME 2025
Competition mathematics, 2025 problems
- GPT 4.1 Nano: 24.0%
- GPT 5.4 Nano: —
AIME
Competition mathematics
- GPT 4.1 Nano: 23.7%
- GPT 5.4 Nano: —
MATH-500
Competition math problems
- GPT 4.1 Nano: 84.8%
- GPT 5.4 Nano: —
Legacy evaluations
Terminal-Bench Hard
Earlier terminal task suite
- GPT 4.1 Nano: 3.8%
- GPT 5.4 Nano: 24.2%Top
τ²-Bench Telecom
Tool use in a customer-support simulation
- GPT 4.1 Nano: 17.3%
- GPT 5.4 Nano: 34.8%Top
AA-LCR (unversioned)
Long-context reasoning, earlier grading
- GPT 4.1 Nano: 20.3%
- GPT 5.4 Nano: 29.7%Top
Scores from Artificial Analysis, updated Oct 26, 2026. Artificial Analysis
- GPT 4.1 Nano
- GPT 5.4 Nano
| Leaderboard | GPT 4.1 Nano | GPT 5.4 Nano |
|---|---|---|
| FrontierMath v2 (Tiers 1–3) | Not in top 20 | #13 · 44.9% |
Ranks among Noumen catalog models on Epoch AI leaderboards. Only top-20 placements are listed.Epoch AI
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.
- Prompt cache hits
- 0.0%
- About $0.10 per 1M input tokens with caching
- Request success (24h)
- 100.0%
- 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-4.1-nano",
"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-4.1-nano",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)OpenAI
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