llmgauge

OpenAI · model

GPT-4.1 (batch)

$1.00/1M in · $4.00/1M out · 1.0M context. That's cheaper than 35% of the 382 models we track, by output price. Here's what it costs, how its price has moved, and where it fits.

output price · per 1M tokens
$4.00
input $1.00/1M · list
Context
1.0M
Input / 1M
$1.00
Output / 1M
$4.00
Modality
text + image + file
Provider
OpenAI
Tokenizer
GPT

Snapshot · source: provider list ↗ · how we measure →

cost at a typical workload
$700 / mo

For 1,500 input + 500 output tokens across 200,000 requests/month. That's 117× the cheapest tracked option (Ling-2.6-flash, $6.00/mo).

Tune the workload in the calculator →

output price history
output / 1M

Flat at $4.00 since tracking began 2026-08-08. Full history →

Where it fits

  • Long inputs — a 1.0M-token window holds roughly 1,571 pages of text at once.
  • Multimodal prompts — accepts image input alongside text.

Watch for

    These notes are derived from price, context and modality — structural facts, not measured quality. Measured cost-to-finish-a-task lives on the real-cost index.

    Related models

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    See how the leading models compare head-to-head →

    How to read GPT-4.1 (batch)'s pricing

    Two numbers decide most of the bill: $1.00/1M for input (everything you send — prompt, context, attachments) and $4.00/1M for output (everything it generates, including hidden reasoning tokens). Output is priced 4.0× the input rate here, so the shape of your workload — how much it reads versus writes — matters as much as the headline figure. This is the provider's first-party list price, reconciled against the routed market each run.

    Frequently asked questions

    How much does GPT-4.1 (batch) cost per million tokens?

    GPT-4.1 (batch) is priced at $1.00 per 1M input tokens and $4.00 per 1M output tokens (first-party list price) as of the 2026-08-12 snapshot. Output is the figure that usually drives the bill. Enter your own token volumes in the cost calculator for a monthly estimate.

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

    GPT-4.1 (batch) has a 1.0M-token context window — roughly 1,571 pages of text. Prompt, attachments, conversation and the model's own output all share that budget, and every token you send is billed at the input rate.

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