Claude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/MClaude Fable 5$22.000/MClaude Opus 5$11.000/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-5.6 Sol$12.500/MGPT-5.6 Terra$5.000/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/M
OpenAI
OpenAI
MultimodalLIVE INDEX

GPT-4.1 Nano (batch)

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Long-context coding-focused GPT-4 successor with a 1M-token window. Aimed at developers who need predictable instruction following over very long inputs.

GPT-4.1 Nano (batch) is a multimodal AI model from OpenAI. It costs $0.050 per million input tokens and $0.200 per million output tokens (blended $0.095/M), with a 1,047,576-token context window.

Profile inherited from upstream GPT-4.1 — this is a hosted variant of the same open-weights model.

INPUT
$0.050/M
per million input tokens
OUTPUT
$0.200/M
per million output tokens
CONTEXT
1,047,576
tokens
What it is good at
  • 1M context window
  • Strong coding
  • Better instruction following than GPT-4o
  • Cheap relative to GPT-4
Typical use cases
  • Repo-scale coding
  • Long document analysis
  • Cost-sensitive vision

Benchmarks

vs. best public score
Scores inherited from GPT-4.1 — this is a hosted variant of the same open-weights model, so the underlying benchmark scores are identical.
MMLU89%
Multitask academic knowledge across 57 subjects.
Graduate-level science questions, "Google-proof".
MATH87%
High-school competition math problems.
Python function synthesis from docstrings.
Real GitHub issues solved end-to-end.
LMArena Elo1346 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.

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Frequently asked questions

How much does GPT-4.1 Nano (batch) cost?

GPT-4.1 Nano (batch) costs $0.050 per million input tokens and $0.200 per million output tokens, for a blended reference rate of $0.095 per million tokens.

What is GPT-4.1 Nano (batch)'s context window?

GPT-4.1 Nano (batch) supports up to 1,047,576 tokens of context in a single request.

What is GPT-4.1 Nano (batch) best for?

GPT-4.1 Nano (batch) is well suited to 1M context window, Strong coding and Better instruction following than GPT-4o.

Who makes GPT-4.1 Nano (batch)?

GPT-4.1 Nano (batch) is developed and served by OpenAI. It was released in Apr 2025.

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