GPT · Flagship · 1,050K context window
$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
Adjust token counts, volume, and discount toggles to model your blog writing spend. Prices verified daily against provider pricing pages.
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/MTokPer-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).
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.
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $5.00 | 1,000 |
| Output | $30.00 | 8,000 |
Caching drops input cost from $5.00 to $0.50/MTok. For repeated system prompts, that saves $0.004500 per call.
Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.
| Monthly volume | Cost per call | Standard monthly | Cached monthly | You 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 |
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
GPT 5.5 scores by task type. Blog Writing highlighted.
| Task type | Confidence score | Rank out of 20 |
|---|---|---|
| Reasoning | 95/100 | #2 |
| Code Generation | 91/100 | #3 |
| Creative Writing(current page) | 91/100 | #2 |
| Code Review | 90/100 | #3 |
| Q&A | 90/100 | #2 |
| Summarization | 89/100 | #3 |
| Extraction | 87/100 | #4 |
| Classification | 85/100 | #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.
7 models score 80+ on blog writing benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (67% less, 87/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs GPT |
|---|---|---|---|---|---|---|
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 87/100 | $0.0820 | 67% cheaper |
| GPT 5.6 Terra | GPT | $2.00 | $12.00 | 80/100 | $0.0980 | 60% cheaper |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 84/100 | $0.0980 | 60% cheaper |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 85/100 | $0.1230 | 50% cheaper |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 92/100 | $0.1640 | 33% cheaper |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 93/100 | $0.2050 | 16% cheaper |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 95/100 | $0.4100 | 67% more |
Provider
GPT
Tier
Flagship
Context
1,050K tokens
Released
Mar 2026
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| GPT 5.4 | Mid-tier | $2.50 | $15.00 | 1,050K |
| GPT 5.6 Sol | Flagship | $4.00 | $20.00 | 1,050K |
| GPT 5.6 Terra | Mid-tier | $2.00 | $12.00 | 1,050K |
| GPT 5.6 Luna | Fast / Budget | $0.20 | $1.20 | 1,050K |
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.
See how GPT 5.5 costs change across different workload types.
Code Generation
$0.1300/call
Unit Test Generation
$0.1650/call
SQL Generation
$0.0375/call
API Generation
$0.1950/call
Code Refactoring
$0.1400/call
Code Review
$0.0850/call
PR Review
$0.1300/call
Security Review
$0.1050/call
Bug Detection
$0.0850/call
Document Summarization
$0.0800/call
PDF Summarization
$0.1200/call
Meeting Notes
$0.1000/call
Email Summarization
$0.0300/call
Chatbot
$0.0400/call
RAG Pipeline
$0.0750/call
Customer Support Bot
$0.0450/call
FAQ Bot
$0.0315/call
Data Extraction
$0.0500/call
JSON Extraction
$0.0390/call
Invoice Parsing
$0.0280/call
Resume Parsing
$0.0365/call
Chain of Thought
$0.1650/call
Legal Analysis
$0.1700/call
Math Reasoning
$0.0975/call
Financial Analysis
$0.1600/call
Content Moderation
$0.005500/call
Sentiment Analysis
$0.005500/call
Categorization
$0.008500/call
Intent Detection
$0.004500/call
Copywriting
$0.0625/call
Marketing Copy
$0.0940/call
Product Descriptions
$0.0475/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.
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.
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.
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.
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.
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.
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.