GPT-4.1 nano
ActiveUltra-fast nano variant of GPT-4.1.
Updated 3 days agoStructured data from Modeldex catalog
VisionAgenticLong context
Knowledge cutoff
Jun 30, 2024(1.8 years ago)
API release
Apr 14, 2025(1.0 years ago)
Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.
History
GPT-4.1 nano became available via the OpenAI API on 2025-04-14.
Training & availability
Training data has a knowledge cutoff of 2024-06-30 — information about events after that date is unlikely to appear in the model's responses. OpenAI has not released the underlying model weights — access is via their hosted API only.
Capabilities
-
Context window: 1.0M tokens.
-
Max output: 32K tokens.
-
Input modalities: text, image.
Recommended for: vision, agentic, long-context.
Limitations
- The knowledge cutoff is 21 months old — this model will not know about recent events, releases, or API changes.
Quick start
Minimal example using the openai API. Copy, paste, replace the key.
from openai import OpenAI
client = OpenAI(api_key="sk-...")
resp = client.chat.completions.create(
model="gpt-4-1-nano",
messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)Cost calculator
Estimate your monthly bill. Presets are typical workload sizes.
5.0M
@ $0.1/1M
2.0M
@ $0.4/1M
Input cost
$0.5
5.0M × $0.1/1M
Output cost
$0.8
2.0M × $0.4/1M
Total / month
$1.3
$15.6 / year
Integrations & tooling support
- Tool calling
- Supported
- Structured outputs
- Supported
Price vs quality
Budget pricing
Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.
- Quality percentile
- —
- Effective price
- $0.325/1M
- Pricing breakdown
- $0.1/1M in
$0.4/1M out
not enough benchmark coverage
/ 1M tokens (input + 3× output)
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Comments
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