GPT · Flagship · 1,000K context window

GPT 5.6 Sol pricing for resume parsing

$0.0365 per call at 2,500 input / 800 output tokens.

Per call

$0.0365

10K calls/mo

$365

Cache savings

90% off input

Batch savings

50% off all

Calculate your GPT 5.6 Sol costs

Adjust token counts, volume, and discount toggles to model your resume parsing spend. Pricing updated weekly.

Configure your usage

2,500
100100K
800
5050K
10,000
1001M

Estimated cost

Monthly cost
$365
10,000 calls/month
Cost per call$0.0365
Daily cost$12
Input rate$5.00/MTok
Output rate$30.00/MTok
Analyze your real spend

Quick start

Call GPT 5.6 Sol with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5.6-sol",
    max_tokens=800,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0365 per call at standard rates
# Input:  $5.00/MTok
# Output: $30.00/MTok

How GPT 5.6 Sol compares on cost

Per-call cost for all models scoring 50+ on resume parsing benchmarks. Hover for details.

Cheapest viable option: Gemini 3.5 Flash-Lite at $0.001825/call (95% less, 83/100 quality).

Complete GPT 5.6 Sol pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$5.002,500
Output$30.00800

Prompt caching: 90% off input tokens

Caching drops input cost from $5.00 to $0.50/MTok. For repeated system prompts, that saves $0.0113 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$0.0365$365$252.5$112.5
50,000 calls$0.0365$1,825$1,262.5$562.5
100,000 calls$0.0365$3,650$2,525$1,125
500,000 calls$0.0365$18,250$12,625$5,625
1,000,000 calls$0.0365$36,500$25,250$11,250

GPT 5.6 Sol quality benchmarks for resume parsing

GPT 5.6 Sol is a solid pick for resume parsing

Scores 88/100 (rank #3 of 14). Good balance of quality and cost for resume parsing.

Top-ranked: GPT 5.6 Terra (90/100) at $0.0183/call

Performance across all task types

GPT 5.6 Sol scores by task type. Resume Parsing highlighted.

Reasoning96Code Generation94Code Review92Creative Writing92Q&A91Summarization90Extraction *88Classification86
Task typeConfidence scoreRank out of 14
Reasoning96/100#1
Code Generation94/100#1
Code Review92/100#2
Creative Writing92/100#2
Q&A91/100#1
Summarization90/100#2
Extraction(current page)88/100#3
Classification86/100#3

Alternative models for resume parsing

13 models score 80+ on resume parsing benchmarks, sorted by input rate. Cheapest: Gemini 3.5 Flash-Lite (95% less, 83/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
Gemini 3.5 Flash-LiteGemini$0.25$1.5083/100$0.00182595% cheaper
Gemini 3 FlashGemini$0.50$3.0086/100$0.00365090% cheaper
Claude Haiku 4.5Claude$1.00$5.0088/100$0.00650082% cheaper
GPT 5.6 LunaGPT$1.00$6.0089/100$0.00730080% cheaper
Gemini 3.5 FlashGemini$1.50$9.0090/100$0.011070% cheaper
Claude Sonnet 5Claude$2.00$10.0088/100$0.013064% cheaper
Gemini 3.1 ProGemini$2.00$12.0085/100$0.014660% cheaper
GPT 5.4GPT$2.50$15.0089/100$0.018350% cheaper
GPT 5.6 TerraGPT$2.50$15.0090/100$0.018350% cheaper
Claude Sonnet 4.6Claude$3.00$15.0086/100$0.019547% cheaper
Claude Opus 4.8Claude$5.00$25.0082/100$0.032511% cheaper
GPT 5.5GPT$5.00$30.0087/100$0.0365same cost
Claude Fable 5Claude$10.00$50.0085/100$0.065078% more

About GPT 5.6 Sol

Provider

GPT

Tier

Flagship

Context

1,000K tokens

Released

Jul 2026

Other models from GPT

ModelTierInput $/MTokOutput $/MTokContext
GPT 5.5Flagship$5.00$30.00128K
GPT 5.4Mid-tier$2.50$15.00128K
GPT 5.6 TerraMid-tier$2.50$15.001,000K
GPT 5.6 LunaFast / Budget$1.00$6.001,000K

You can compare GPT 5.6 Sol 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 5.6 Sol cost for resume parsing per API call?

$0.0365 per call at 2,500 input / 800 output tokens.

Is GPT 5.6 Sol the best model for resume parsing?

Scores 88/100, rank #3 of 14 models. Top-ranked: GPT 5.6 Terra at 90/100.

What is the cheapest model for resume parsing with good quality?

Gemini 3.5 Flash-Lite scores 83/100 quality at $0.25/$1.50 per MTok. That is 95% less than GPT 5.6 Sol per call.

How can I reduce my GPT 5.6 Sol costs for resume parsing?

Three strategies: prompt caching (90% off input), batch API (50% off all tokens), prompt optimization. Combined: $0.0365 drops to about $0.001825 per call.

How does GPT 5.6 Sol pricing compare to other GPT models?

GPT also offers: GPT 5.5 at $5.00/$30.00, GPT 5.4 at $2.50/$15.00, GPT 5.6 Terra at $2.50/$15.00, GPT 5.6 Luna at $1.00/$6.00.

What context window does GPT 5.6 Sol support?

1,000K tokens total. Typical resume parsing calls use 2,500 plus 800 tokens, well within limits.

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.