GPT · Flagship · 1,050K context window

GPT 5.5 pricing for blog writing

$0.2450 per call at 1,000 input / 8,000 output tokens.

Per call

$0.2450

10K calls/mo

$2,450

Cache savings

90% off input

Batch savings

50% off all

Calculate your GPT 5.5 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
$2,450
10,000 calls/month
Cost per call$0.245
Daily cost$82
Input rate$5.00/MTok
Output rate$30.00/MTok
Analyze your real spend

Quick start

Call GPT 5.5 with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5.5",
    max_tokens=8000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.2450 per call at standard rates
# Input:  $5.00/MTok
# Output: $30.00/MTok

How GPT 5.5 compares on cost

Per-call cost for all models scoring 50+ on blog writing benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0820/call (67% less, 87/100 quality).

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 5.5 specifically, that means output tokens cost 6.0x more than input, at $30.00 vs $5.00 per MTok. At this use case’s 1,000/8,000 token split, output accounts for 98% of the $0.2450 per-call cost.

Complete GPT 5.5 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$5.001,000
Output$30.008,000

Prompt caching: 90% off input tokens

Caching drops input cost from $5.00 to $0.50/MTok. For repeated system prompts, that saves $0.004500 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$0.2450$2,450$2,405$45
50,000 calls$0.2450$12,250$12,025$225
100,000 calls$0.2450$24,500$24,050$450
500,000 calls$0.2450$122,500$120,250$2,250
1,000,000 calls$0.2450$245,000$240,500$4,500

GPT 5.5 quality benchmarks for blog writing

Use GPT 5.5 for blog writing

Scores 91/100 (rank #2 of 20). Strong pick for production blog writing workloads.

Top-ranked: Claude Fable 5 (95/100) at $0.4100/call

Performance across all task types

GPT 5.5 scores by task type. Blog Writing highlighted.

Reasoning95Code Generation91Creative Writing *91Code Review90Q&A90Summarization89Extraction87Classification85
Task typeConfidence scoreRank out of 20
Reasoning95/100#2
Code Generation91/100#3
Creative Writing(current page)91/100#2
Code Review90/100#3
Q&A90/100#2
Summarization89/100#3
Extraction87/100#4
Classification85/100#3

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for blog writing

7 models score 80+ on blog writing benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (67% less, 87/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
Claude Sonnet 5Claude$2.00$10.0087/100$0.082067% cheaper
GPT 5.6 TerraGPT$2.00$12.0080/100$0.098060% cheaper
Gemini 3.1 ProGemini$2.00$12.0084/100$0.098060% cheaper
Claude Sonnet 4.6Claude$3.00$15.0085/100$0.123050% cheaper
GPT 5.6 SolGPT$4.00$20.0092/100$0.164033% cheaper
Claude Opus 4.8Claude$5.00$25.0093/100$0.205016% cheaper
Claude Fable 5Claude$10.00$50.0095/100$0.410067% more

About GPT 5.5

Provider

GPT

Tier

Flagship

Context

1,050K tokens

Released

Mar 2026

Other models from GPT

ModelTierInput $/MTokOutput $/MTokContext
GPT 5.4Mid-tier$2.50$15.001,050K
GPT 5.6 SolFlagship$4.00$20.001,050K
GPT 5.6 TerraMid-tier$2.00$12.001,050K
GPT 5.6 LunaFast / Budget$0.20$1.201,050K

You can compare GPT 5.5 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 5.5 cost for blog writing per API call?

A typical blog writing call using GPT 5.5 costs about $0.2450 per call. This estimate uses 1,000 input tokens and 8,000 output tokens at standard rates. Standard rates are $5.00 per million input tokens and $30.00 per million output tokens.

Is GPT 5.5 the best model for blog writing?

GPT 5.5 scores 91 out of 100 on blog writing benchmarks overall. It ranks #2 across all 20 models in our cross-provider registry. The highest-ranked model for this task is Claude Fable 5 from Claude. That model scores 95/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 8 weeks old, so treat the scores as directional and validate against your own evals.

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

The most affordable model for blog writing 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 5.5 to Claude Sonnet 5 saves about 67% per API call.

How can I reduce my GPT 5.5 costs for blog writing?

Three strategies lower GPT 5.5 costs for this task type effectively. Prompt caching gives a 90% 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 $0.2450 to about $0.0123 per call.

How does GPT 5.5 pricing compare to other GPT models?

GPT has 4 other models alongside GPT 5.5 today: 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). The right choice depends on whether your blog writing workload prioritizes quality, cost, or speed.

What context window does GPT 5.5 support?

GPT 5.5 supports a context window of 1,050K 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.

Track what you spend on AI

This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.