GPT · Flagship · 8.192K context window
$0.3600 per call at 8,000 input / 2,000 output tokens.
Per call
$0.3600
10K calls/mo
$3,600
Cache savings
0% off input
Batch savings
50% off all
Adjust token counts, volume, and discount toggles to model your meeting notes spend. Prices verified daily against provider pricing pages.
Call GPT 4 (0613) with the OpenAI Python SDK:
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-4-0613",
max_tokens=2000,
messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.3600 per call at standard rates
# Input: $30.00/MTok
# Output: $60.00/MTokPer-call cost for all models scoring 50+ on meeting notes benchmarks. Hover for details.
Cheapest viable option: GPT 5.6 Luna at $0.004000/call (99% less, 84/100 quality).
Transcripts are long and low-density (an hour of conversation is a lot of tokens carrying comparatively little information) while the notes that come back are short. That ratio makes this a strong fit for a fast-tier model plus the batch API: notes rarely need to exist within seconds of the meeting ending, and batch discounts apply to the whole request.
For GPT 4 (0613) specifically, that means output tokens cost 2.0x more than input, at $60.00 vs $30.00 per MTok. At this use case’s 8,000/2,000 token split, output accounts for 33% of the $0.3600 per-call cost.
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $30.00 | 8,000 |
| Output | $60.00 | 2,000 |
Caching drops input cost from $30.00 to $30.00/MTok. For repeated system prompts, that saves $0.0000 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 | $0.3600 | $3,600 | $3,600 | $0.0000 |
| 50,000 calls | $0.3600 | $18,000 | $18,000 | $0.0000 |
| 100,000 calls | $0.3600 | $36,000 | $36,000 | $0.0000 |
| 500,000 calls | $0.3600 | $180,000 | $180,000 | $0.0000 |
| 1,000,000 calls | $0.3600 | $360,000 | $360,000 | $0.0000 |
Benchmark data for meeting notes is pending for GPT 4 (0613). Test against your own evaluation suite before moving to production.
GPT 4 (0613) scores by task type. Meeting Notes highlighted.
| Task type | Confidence score | Rank 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.
12 models score 80+ on meeting notes benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (99% less, 84/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs GPT |
|---|---|---|---|---|---|---|
| GPT 5.6 Luna | GPT | $0.20 | $1.20 | 84/100 | $0.004000 | 99% cheaper |
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 83/100 | $0.0100 | 97% cheaper |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 85/100 | $0.0300 | 92% cheaper |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 91/100 | $0.0360 | 90% cheaper |
| GPT 5.6 Terra | GPT | $2.00 | $12.00 | 92/100 | $0.0400 | 89% cheaper |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 87/100 | $0.0400 | 89% cheaper |
| GPT 5.4 | GPT | $2.50 | $15.00 | 91/100 | $0.0500 | 86% cheaper |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 90/100 | $0.0540 | 85% cheaper |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 90/100 | $0.0720 | 80% cheaper |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 88/100 | $0.0900 | 75% cheaper |
| GPT 5.5 | GPT | $5.00 | $30.00 | 89/100 | $0.1000 | 72% cheaper |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 90/100 | $0.1800 | 50% cheaper |
Provider
GPT
Tier
Flagship
Context
8.192K 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.
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| GPT 5.5 | Flagship | $5.00 | $30.00 | 1,050K |
| GPT 5.4 | Mid-tier | $2.50 | $15.00 | 1,050K |
| GPT 5.6 Sol | Flagship | $4.00 | $20.00 | 922K |
| GPT 5.6 Terra | Mid-tier | $2.00 | $12.00 | 922K |
| GPT 5.6 Luna | Fast / Budget | $0.20 | $1.20 | 922K |
| GPT 3.5 Turbo | Fast / Budget | $0.50 | $1.50 | 16.385K |
| GPT 3.5 Turbo (0125) | Fast / Budget | $0.50 | $1.50 | 16.385K |
| GPT 4 Turbo (2024-04-09) | Flagship | $10.00 | $30.00 | 128K |
| GPT 4.1 | Mid-tier | $2.00 | $8.00 | 1,047.576K |
| GPT 4.1 Mini | Fast / Budget | $0.40 | $1.60 | 1,047.576K |
| GPT 4.1 Nano | Fast / Budget | $0.10 | $0.40 | 1,047.576K |
| GPT 4o | Mid-tier | $2.50 | $10.00 | 128K |
| GPT 4o (2024-05-13) | Flagship | $5.00 | $15.00 | 128K |
| GPT 4o Mini | Fast / Budget | $0.15 | $0.60 | 128K |
| GPT 5 | Mid-tier | $1.25 | $10.00 | 272K |
| GPT 5 Mini | Fast / Budget | $0.25 | $2.00 | 272K |
| GPT 5 Nano | Fast / Budget | $0.05 | $0.40 | 272K |
| GPT 5 Pro | Flagship | $15.00 | $120.00 | 400K |
| GPT 5.1 | Mid-tier | $1.25 | $10.00 | 272K |
| GPT 5.2 | Mid-tier | $1.75 | $14.00 | 272K |
| GPT 5.2 Pro | Flagship | $21.00 | $168.00 | 272K |
| GPT 5.4 Mini | Fast / Budget | $0.75 | $4.50 | 272K |
| GPT 5.4 Nano | Fast / Budget | $0.20 | $1.25 | 272K |
| GPT 5.4 Pro | Flagship | $30.00 | $180.00 | 1,050K |
| GPT 5.5 Pro | Flagship | $30.00 | $180.00 | 1,050K |
| GPT 6 Astra | Flagship | $10.00 | $50.00 | 922K |
| GPT 6 Luna | Fast / Budget | $0.10 | $0.50 | 922K |
| GPT 6 Sol | Flagship | $2.00 | $10.00 | 922K |
| o1 | Flagship | $15.00 | $60.00 | 200K |
| o1 Pro | Flagship | $150.00 | $600.00 | 200K |
| o3 | Mid-tier | $2.00 | $8.00 | 200K |
| o3 Mini | Fast / Budget | $1.10 | $4.40 | 200K |
| o3 Pro | Flagship | $20.00 | $80.00 | 200K |
| o4 Mini | Fast / Budget | $1.10 | $4.40 | 200K |
You can compare GPT 4 (0613) 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 4 (0613) costs change across different workload types.
Code Generation
$0.3000/call
Unit Test Generation
$0.3900/call
SQL Generation
$0.1050/call
API Generation
$0.4500/call
Code Refactoring
$0.3600/call
Code Review
$0.2700/call
PR Review
$0.4200/call
Security Review
$0.3300/call
Bug Detection
$0.2700/call
Document Summarization
$0.3600/call
PDF Summarization
$0.5400/call
Email Summarization
$0.1200/call
Chatbot
$0.1200/call
RAG Pipeline
$0.2700/call
Customer Support Bot
$0.1500/call
FAQ Bot
$0.0930/call
Data Extraction
$0.1800/call
JSON Extraction
$0.1380/call
Invoice Parsing
$0.0960/call
Resume Parsing
$0.1230/call
Chain of Thought
$0.3900/call
Legal Analysis
$0.5400/call
Math Reasoning
$0.2250/call
Financial Analysis
$0.4800/call
Content Moderation
$0.0210/call
Sentiment Analysis
$0.0210/call
Categorization
$0.0330/call
Intent Detection
$0.0150/call
Copywriting
$0.1350/call
Blog Writing
$0.5100/call
Marketing Copy
$0.2040/call
Product Descriptions
$0.1050/call
A typical meeting notes call using GPT 4 (0613) costs about $0.3600 per call. This estimate uses 8,000 input tokens and 2,000 output tokens at standard rates. Standard rates are $30.00 per million input tokens and $60.00 per million output tokens.
Our benchmark data does not yet include a meeting notes ranking for GPT 4 (0613). We recommend testing it against your own evaluation criteria before production usage.
The most affordable model for meeting notes above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 84/100. Switching from GPT 4 (0613) to GPT 5.6 Luna saves about 99% per API call.
Three strategies lower GPT 4 (0613) 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 $0.3600 to about $0.1800 per call.
GPT has 34 other models alongside GPT 4 (0613) 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 Turbo (2024-04-09) at $10.00/$30.00 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). The right choice depends on whether your meeting notes workload prioritizes quality, cost, or speed.
GPT 4 (0613) supports a context window of 8.192K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For meeting notes, typical calls use 8,000 input and 2,000 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.