GPT · Flagship · 128K context window

GPT 4 Turbo pricing for blog writing

$0.2500 per call at 1,000 input / 8,000 output tokens.

Per call

$0.2500

10K calls/mo

$2,500

Cache savings

0% off input

Batch savings

50% off all

Calculate your GPT 4 Turbo costs

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

Configure your usage

1,000
100100K
8,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$2,500
10,000 calls/month
Cost per call$0.25
Daily cost$83
Input rate$10.00/MTok
Output rate$30.00/MTok
Analyze your real spend

Quick start

Call GPT 4 Turbo with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-4-turbo",
    max_tokens=8000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.2500 per call at standard rates
# Input:  $10.00/MTok
# Output: $30.00/MTok

What drives blog writing cost

The most output-heavy use case tracked here. A brief of a few hundred tokens produces an article of several thousand, so output pricing is essentially the entire cost and input rate is noise. Generating section by section rather than whole-article gives you more control over both quality and spend, at the cost of more calls.

For GPT 4 Turbo specifically, that means output tokens cost 3.0x more than input, at $30.00 vs $10.00 per MTok. At this use case’s 1,000/8,000 token split, output accounts for 96% of the $0.2500 per-call cost.

Complete GPT 4 Turbo pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$10.001,000
Output$30.008,000

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$0.2500$2,500$2,500$0.0000
50,000 calls$0.2500$12,500$12,500$0.0000
100,000 calls$0.2500$25,000$25,000$0.0000
500,000 calls$0.2500$125,000$125,000$0.0000
1,000,000 calls$0.2500$250,000$250,000$0.0000

GPT 4 Turbo quality benchmarks for blog writing

Benchmark data for blog writing is pending for GPT 4 Turbo. Test against your own evaluation suite before moving to production.

Benchmark data is not yet available for GPT 4 Turbo. We recommend testing against your own evaluation criteria.

Alternative models for blog writing

11 models score 80+ on blog writing benchmarks, sorted by input rate. Cheapest: Gemini 3.6 Flash (88% less, 76/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
Gemini 3.6 FlashGemini$0.75$3.7576/100$0.030788% cheaper
Gemini 3.7 FlashGemini$0.75$3.7582/100$0.030788% cheaper
Gemini 3.8 FlashGemini$0.75$3.7583/100$0.030788% cheaper
Gemini 3.5 FlashGemini$1.50$9.0075/100$0.073571% cheaper
Gemini 3.1 ProGemini$2.00$12.0077/100$0.098061% cheaper
Grok 4.6Grok$2.00$6.0078/100$0.050080% cheaper
Grok 4.7Grok$2.00$6.0075/100$0.050080% cheaper
GPT 5.4GPT$2.50$15.0079/100$0.122551% cheaper
GPT 5.6 SolGPT$4.00$20.0076/100$0.164034% cheaper
Claude Opus 4.8Claude$5.00$25.0081/100$0.205018% cheaper
Claude Fable 5.1Claude$10.00$50.0078/100$0.410064% more

About GPT 4 Turbo

Provider

GPT

Tier

Flagship

Context

128K tokens

Released

Not published

Alias of gpt-4-turbo-2024-04-09 (same prices). Added 2026-10-13 for integrations that report the requested model id. Not benchmarked, so never recommended.

Other models from GPT

ModelTierInput $/MTokOutput $/MTokContext
GPT 5.5Flagship$5.00$30.001.1M
GPT 5.4Mid-tier$2.50$15.001.1M
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$1.5016K
GPT 3.5 Turbo (0125)Fast / Budget$0.50$1.5016K
GPT 4 (0613)Flagship$30.00$60.008K
GPT 4 Turbo (2024-04-09)Flagship$10.00$30.00128K
GPT 4Flagship$30.00$60.008K
GPT 4.1Mid-tier$2.00$8.001.0M
GPT 4.1 MiniFast / Budget$0.40$1.601.0M
GPT 4.1 NanoFast / Budget$0.10$0.401.0M
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$180.001.1M
GPT 5.5 ProFlagship$30.00$180.001.1M
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
GPT 6.1 SolFlagship$2.00$10.00922K

You can compare GPT 4 Turbo 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 Turbo cost for blog writing per API call?

A typical blog writing call using GPT 4 Turbo costs about $0.2500 per call. This estimate uses 1,000 input tokens and 8,000 output tokens at standard rates. Standard rates are $10.00 per million input tokens and $30.00 per million output tokens.

Is GPT 4 Turbo the best model for blog writing?

Our benchmark data does not yet include a blog writing ranking for GPT 4 Turbo. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for blog writing with good quality?

The most affordable model for blog writing above 80/100 quality is Gemini 3.6 Flash. It comes from Gemini at $0.75 per million input tokens. Output costs $3.75 per million tokens with a quality score of 76/100. Switching from GPT 4 Turbo to Gemini 3.6 Flash saves about 88% per API call.

How can I reduce my GPT 4 Turbo costs for blog writing?

Three strategies lower GPT 4 Turbo costs for this task type effectively. Prompt caching gives a 0% 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 $0.2500 to about $0.1250 per call.

How does GPT 4 Turbo pricing compare to other GPT models?

GPT has 37 other models alongside GPT 4 Turbo 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 at $30.00/$60.00 per million tokens (flagship), GPT 4.1 at $2.00/$8.00 per million tokens (mid-tier), 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), GPT 6.1 Sol at $2.00/$10.00 per million tokens (flagship). The right choice depends on whether your blog writing workload prioritizes quality, cost, or speed.

What context window does GPT 4 Turbo support?

GPT 4 Turbo supports a context window of 128K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For blog writing, typical calls use 1,000 input and 8,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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