GPT · Mid-tier · 1,047.576K context window

GPT 4.1 pricing for product descriptions

$0.0130 per call at 500 input / 1,500 output tokens.

Per call

$0.0130

10K calls/mo

$130

Cache savings

75% off input

Batch savings

50% off all

Calculate your GPT 4.1 costs

Adjust token counts, volume, and discount toggles to model your product descriptions spend. Prices verified daily against provider pricing pages.

Configure your usage

500
100100K
1,500
5050K
10,000
1001M

Estimated cost

Monthly cost
$130
10,000 calls/month
Cost per call$0.013
Daily cost$4
Input rate$2.00/MTok
Output rate$8.00/MTok
Analyze your real spend

Quick start

Call GPT 4.1 with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4.1",
    max_tokens=1500,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0130 per call at standard rates
# Input:  $2.00/MTok
# Output: $8.00/MTok

How GPT 4.1 compares on cost

Per-call cost for all models scoring 50+ on product descriptions benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0160/call (-23% less, 87/100 quality).

What drives product descriptions cost

Catalogue-scale generation: modest output per item, multiplied across thousands of SKUs. Per-call price is small and total spend is set by catalogue size, which makes this a batch API workload almost by definition: descriptions are rarely needed within seconds. Shared brand and formatting context belongs in the cached prefix.

For GPT 4.1 specifically, that means output tokens cost 4.0x more than input, at $8.00 vs $2.00 per MTok. At this use case’s 500/1,500 token split, output accounts for 92% of the $0.0130 per-call cost.

Complete GPT 4.1 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$2.00500
Output$8.001,500

Prompt caching: 75% off input tokens

Caching drops input cost from $2.00 to $0.50/MTok. For repeated system prompts, that saves $0.000750 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.0130$130$122.5$7.5
50,000 calls$0.0130$650$612.5$37.5
100,000 calls$0.0130$1,300$1,225$75
500,000 calls$0.0130$6,500$6,125$375
1,000,000 calls$0.0130$13,000$12,250$750

GPT 4.1 quality benchmarks for product descriptions

Benchmark data for product descriptions is pending for GPT 4.1. Test against your own evaluation suite before moving to production.

Performance across all task types

GPT 4.1 scores by task type. Product Descriptions highlighted.

Task typeConfidence scoreRank out of 72

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 10 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for product descriptions

5 models score 80+ on product descriptions benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (-23% less, 87/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
Claude Sonnet 5Claude$2.00$10.0087/100$0.016023% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.0320146% more
Claude Opus 4.8Claude$5.00$25.0093/100$0.0400208% more
GPT 5.5GPT$5.00$30.0091/100$0.0475265% more
Claude Fable 5Claude$10.00$50.0095/100$0.0800515% more

About GPT 4.1

Provider

GPT

Tier

Mid-tier

Context

1,047.576K tokens

Released

Not published

Backfilled on 2026-09-23. Prices confirmed by the provider pricing page and the LiteLLM cross-check. Release date not published in a machine-readable source. Not yet benchmarked, so never recommended.

Other models from GPT

ModelTierInput $/MTokOutput $/MTokContext
GPT 5.5Flagship$5.00$30.001,050K
GPT 5.4Mid-tier$2.50$15.001,050K
GPT 5.6 SolFlagship$4.00$20.00922K
GPT 5.6 TerraMid-tier$2.00$12.00922K
GPT 5.6 LunaFast / Budget$0.20$1.20922K
GPT 3.5 TurboFast / Budget$0.50$1.5016.385K
GPT 3.5 Turbo (0125)Fast / Budget$0.50$1.5016.385K
GPT 4 (0613)Flagship$30.00$60.008.192K
GPT 4 Turbo (2024-04-09)Flagship$10.00$30.00128K
GPT 4.1 MiniFast / Budget$0.40$1.601,047.576K
GPT 4.1 NanoFast / Budget$0.10$0.401,047.576K
GPT 4oMid-tier$2.50$10.00128K
GPT 4o (2024-05-13)Flagship$5.00$15.00128K
GPT 4o MiniFast / Budget$0.15$0.60128K
GPT 5Mid-tier$1.25$10.00272K
GPT 5 MiniFast / Budget$0.25$2.00272K
GPT 5 NanoFast / Budget$0.05$0.40272K
GPT 5 ProFlagship$15.00$120.00400K
GPT 5.1Mid-tier$1.25$10.00272K
GPT 5.2Mid-tier$1.75$14.00272K
GPT 5.2 ProFlagship$21.00$168.00272K
GPT 5.4 MiniFast / Budget$0.75$4.50272K
GPT 5.4 NanoFast / Budget$0.20$1.25272K
GPT 5.4 ProFlagship$30.00$180.001,050K
GPT 5.5 ProFlagship$30.00$180.001,050K
GPT 6 AstraFlagship$10.00$50.00922K
GPT 6 LunaFast / Budget$0.10$0.50922K
GPT 6 SolFlagship$2.00$10.00922K
o1Flagship$15.00$60.00200K
o1 ProFlagship$150.00$600.00200K
o3Mid-tier$2.00$8.00200K
o3 MiniFast / Budget$1.10$4.40200K
o3 ProFlagship$20.00$80.00200K
o4 MiniFast / Budget$1.10$4.40200K

You can compare GPT 4.1 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions

How much does GPT 4.1 cost for product descriptions per API call?

A typical product descriptions call using GPT 4.1 costs about $0.0130 per call. This estimate uses 500 input tokens and 1,500 output tokens at standard rates. Standard rates are $2.00 per million input tokens and $8.00 per million output tokens.

Is GPT 4.1 the best model for product descriptions?

Our benchmark data does not yet include a product descriptions ranking for GPT 4.1. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for product descriptions with good quality?

The most affordable model for product descriptions above 80/100 quality is Claude Sonnet 5. It comes from Claude at $2.00 per million input tokens. Output costs $10.00 per million tokens with a quality score of 87/100. Switching from GPT 4.1 to Claude Sonnet 5 saves about -23% per API call.

How can I reduce my GPT 4.1 costs for product descriptions?

Three strategies lower GPT 4.1 costs for this task type effectively. Prompt caching gives a 75% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.0130 to about $0.001625 per call.

How does GPT 4.1 pricing compare to other GPT models?

GPT has 34 other models alongside GPT 4.1 today: GPT 5.5 at $5.00/$30.00 per million tokens (flagship), GPT 5.4 at $2.50/$15.00 per million tokens (mid-tier), GPT 5.6 Sol at $4.00/$20.00 per million tokens (flagship), GPT 5.6 Terra at $2.00/$12.00 per million tokens (mid-tier), GPT 5.6 Luna at $0.20/$1.20 per million tokens (fast / budget), GPT 3.5 Turbo at $0.50/$1.50 per million tokens (fast / budget), GPT 3.5 Turbo (0125) at $0.50/$1.50 per million tokens (fast / budget), GPT 4 (0613) at $30.00/$60.00 per million tokens (flagship), GPT 4 Turbo (2024-04-09) at $10.00/$30.00 per million tokens (flagship), GPT 4.1 Mini at $0.40/$1.60 per million tokens (fast / budget), GPT 4.1 Nano at $0.10/$0.40 per million tokens (fast / budget), GPT 4o at $2.50/$10.00 per million tokens (mid-tier), GPT 4o (2024-05-13) at $5.00/$15.00 per million tokens (flagship), GPT 4o Mini at $0.15/$0.60 per million tokens (fast / budget), GPT 5 at $1.25/$10.00 per million tokens (mid-tier), GPT 5 Mini at $0.25/$2.00 per million tokens (fast / budget), GPT 5 Nano at $0.05/$0.40 per million tokens (fast / budget), GPT 5 Pro at $15.00/$120.00 per million tokens (flagship), GPT 5.1 at $1.25/$10.00 per million tokens (mid-tier), GPT 5.2 at $1.75/$14.00 per million tokens (mid-tier), GPT 5.2 Pro at $21.00/$168.00 per million tokens (flagship), GPT 5.4 Mini at $0.75/$4.50 per million tokens (fast / budget), GPT 5.4 Nano at $0.20/$1.25 per million tokens (fast / budget), GPT 5.4 Pro at $30.00/$180.00 per million tokens (flagship), GPT 5.5 Pro at $30.00/$180.00 per million tokens (flagship), GPT 6 Astra at $10.00/$50.00 per million tokens (flagship), GPT 6 Luna at $0.10/$0.50 per million tokens (fast / budget), GPT 6 Sol at $2.00/$10.00 per million tokens (flagship), o1 at $15.00/$60.00 per million tokens (flagship), o1 Pro at $150.00/$600.00 per million tokens (flagship), o3 at $2.00/$8.00 per million tokens (mid-tier), o3 Mini at $1.10/$4.40 per million tokens (fast / budget), o3 Pro at $20.00/$80.00 per million tokens (flagship), o4 Mini at $1.10/$4.40 per million tokens (fast / budget). The right choice depends on whether your product descriptions workload prioritizes quality, cost, or speed.

What context window does GPT 4.1 support?

GPT 4.1 supports a context window of 1,047.576K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For product descriptions, typical calls use 500 input and 1,500 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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