Claude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/MClaude Fable 5$22.000/MClaude Opus 4.8$11.000/MClaude Opus 4.7$11.000/MClaude Opus 4.6$11.000/MClaude Opus 4.5$33.000/MClaude Sonnet 3.7$6.600/MClaude Opus 3$33.000/MClaude 2.1$12.800/MClaude 2$12.800/MGPT-5.5$12.500/MGPT-5.2$5.425/MGPT-5.2-Codex$5.425/MGPT-5$3.875/MGPT-4.5$97.500/MGPT-4 Turbo Preview$16.000/MGPT-4$39.000/MGPT-4-32k$78.000/Mo3$19.000/Mo3-mini$2.090/Mo4-mini$2.090/Mo1$28.500/Mo1-mini$5.700/Mo1-preview$28.500/MGemini 3.5 Pro$5.000/MGemini 3.1 Pro$5.000/MGemini 3 Pro$5.000/MGemini 2.5 Pro$3.875/MGemini 1.5 Pro$2.375/MGemini 1.0 Ultra$12.000/MGemini 1.0 Pro$0.800/M
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OpenAIEfficient

GPT-4.1 nano

Efficient

Smallest, cheapest member of the GPT-4.1 family. The OpenAI choice when latency and per-token cost dominate quality.

GPT-4.1 nano is a efficient AI model from OpenAI. It costs $0.100 per million input tokens and $0.400 per million output tokens (blended $0.190/M), with a 1M-token context window.

Released Apr 2025Modalities text, visionOfficial model page ↗Provider pricing ↗API docs ↗Compare with another model →Estimate monthly cost →
INPUT
$0.100/M
per million input tokens
OUTPUT
$0.400/M
per million output tokens
BLENDED 70/30
$0.190/M
default reference rate · how it's calculated →
CONTEXT
1M
1,000,000 tokens
What it's good at
  • Lowest GPT-4.1 cost
  • Very fast
  • 1M context still
Typical use cases
  • Bulk classification
  • Realtime UX
  • Cheap routing layer
Benchmarks
vs. best public score
MMLU73%
Multitask academic knowledge across 57 subjects.
GPQA Diamond47%
Graduate-level science questions, "Google-proof".
MATH64%
High-school competition math problems.
HumanEval72%
Python function synthesis from docstrings.
LMArena Elo1200 Elo
Crowd-sourced head-to-head preference Elo rating.
Hand-curated from each provider's published reports and public leaderboards. Methodology varies across sources — treat as directional rather than authoritative.
More from OpenAI
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Frontier · 1M ctx
in $5.000/Mout $30.000/M
GPT-5.2
Frontier · 400K ctx
in $1.750/Mout $14.000/M
GPT-5.2-Codex
Coding · 400K ctx
in $1.750/Mout $14.000/M
GPT-5
Frontier · 400K ctx
in $1.250/Mout $10.000/M
GPT-4.1
Frontier · 1M ctx
in $2.000/Mout $8.000/M
GPT-4.1 mini
Efficient · 1M ctx
in $0.400/Mout $1.600/M
Frequently asked questions

How much does GPT-4.1 nano cost?

GPT-4.1 nano costs $0.100 per million input tokens and $0.400 per million output tokens, for a blended reference rate of $0.190 per million tokens.

What is GPT-4.1 nano's context window?

GPT-4.1 nano supports up to 1M tokens of context (1,000,000 tokens).

What is GPT-4.1 nano best for?

GPT-4.1 nano is well suited to Lowest GPT-4.1 cost, Very fast and 1M context still.

Who makes GPT-4.1 nano?

GPT-4.1 nano is developed and served by OpenAI. It was released in Apr 2025.