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GPT · Fast / Budget · 922K context window

GPT 5.6 Luna pricing for sql generation

$0.001500 per call at 1,500 input / 1,000 output tokens.

Per call

$0.001500

10K calls/mo

$15

Cache savings

90% off input

Batch savings

50% off all

Calculate your GPT 5.6 Luna costs

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

Configure your usage

1,500
100100K
1,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$15
10,000 calls/month
Cost per call$0.001500
Daily cost$0.50
Input rate$0.20/MTok
Output rate$1.20/MTok
Analyze your real spend

Quick start

Call GPT 5.6 Luna with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-5.6-luna",
    max_tokens=1000,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.001500 per call at standard rates
# Input:  $0.20/MTok
# Output: $1.20/MTok

How GPT 5.6 Luna compares on cost

Per-call cost for all models scoring 50+ on sql generation benchmarks. Hover for details.

GPT 6 Luna$0.000650GPT 5.6 Luna$0.001500GPT 5.4 Nano$0.001550Gemini 3.5 Flash-Lite$0.002950Grok Build 0.1$0.003500Gemini 3 Flash$0.003750Gemini 3.6 Flash$0.004875Gemini 3.7 Flash$0.004875Gemini 3.8 Flash$0.004875GPT 5.4 Mini$0.005625Claude Haiku 4.5$0.006500Grok 4.6$0.009000Grok 4.5$0.009000Grok 4.7$0.009000Gemini 3.5 Flash$0.0113Claude Sonnet 5$0.0130GPT 6 Sol$0.0130GPT 5.6 Terra$0.0150Gemini 3.1 Pro$0.0150GPT 5.4$0.0187Claude Sonnet 4.6$0.0195Claude Opus 5.5$0.0260GPT 5.6 Sol$0.0260Claude Opus 4.8$0.0325Claude Opus 5$0.0325Claude Opus 4.7$0.0325Claude Opus 4.6$0.0325GPT 5.5$0.0375Claude Fable 5.1$0.0650Claude Fable 5$0.0650GPT 6 Astra$0.0650

Highest-quality affordable option: Claude Haiku 4.5 at $0.006500/call (4.3x the cost, 72/100 quality). GPT 5.6 Luna is already the cheapest choice for sql generation.

What drives sql generation cost

The cheapest code use case on this list. A natural-language question plus a schema fits in 1.5K tokens, and the query that comes back is under 1K. That makes SQL generation a genuine candidate for a fast-tier model: the task is well-bounded, the output is short, and the quality gap between tiers narrows when there is little room to go wrong. Schema caching cuts the input side to near zero.

For GPT 5.6 Luna specifically, that means output tokens cost 6.0x more than input, at $1.20 vs $0.20 per MTok. At this use case’s 1,500/1,000 token split, output accounts for 80% of the $0.001500 per-call cost.

Complete GPT 5.6 Luna pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.201,500
Output$1.201,000

Prompt caching: 90% off input tokens

Caching drops input cost from $0.20 to $0.02/MTok. For repeated system prompts, that saves $0.000270 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$0.001500$15$12.3$2.7
50,000 calls$0.001500$75$61.5$13.5
100,000 calls$0.001500$150$123$27
500,000 calls$0.001500$750$615$135
1,000,000 calls$0.001500$1,500$1,230$270

GPT 5.6 Luna quality benchmarks for sql generation

Consider alternatives for sql generation

Scores 62/100 (rank #17 of 88). Better options exist at similar price points for sql generation.

Top-ranked: Claude Opus 5.5 (79/100) at $0.0260/call

Performance across all task types

GPT 5.6 Luna scores by task type. SQL Generation highlighted.

Classification91Reasoning86Q&A85Extraction74Creative Writing69Code Review68Code Generation *62Summarization57
Task typeConfidence scoreRank out of 88
Classification91/100#1
Reasoning86/100#19
Q&A85/100#4
Extraction74/100#13
Creative Writing69/100#19
Code Review68/100#6
Code Generation(current page)62/100#17
Summarization57/100#29

Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for sql generation

5 models score 80+ on sql generation benchmarks, sorted by input rate. Cheapest: Claude Haiku 4.5 (333% more, 72/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
Claude Haiku 4.5Claude$1.00$5.0072/100$0.006500333% more
Claude Opus 5.5Claude$4.00$20.0079/100$0.02601633% more
Claude Opus 5Claude$5.00$25.0072/100$0.03252067% more
Claude Fable 5.1Claude$10.00$50.0074/100$0.06504233% more
Claude Fable 5Claude$10.00$50.0072/100$0.06504233% more

About GPT 5.6 Luna

Provider

GPT

Tier

Fast / Budget

Context

922K tokens

Released

Jul 2026

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 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 TurboFlagship$10.00$30.00128K
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 5.6 Luna 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.

GPT 5.6 Luna pricing for other use cases

See how GPT 5.6 Luna costs change across different workload types.

Code Generation

$0.005200/call

Unit Test Generation

$0.006600/call

API Generation

$0.007800/call

Code Refactoring

$0.005600/call

Code Review

$0.003400/call

PR Review

$0.005200/call

Security Review

$0.004200/call

Bug Detection

$0.003400/call

Document Summarization

$0.003200/call

PDF Summarization

$0.004800/call

Meeting Notes

$0.004000/call

Email Summarization

$0.001200/call

Chatbot

$0.001600/call

RAG Pipeline

$0.003000/call

Customer Support Bot

$0.001800/call

FAQ Bot

$0.001260/call

Data Extraction

$0.002000/call

JSON Extraction

$0.001560/call

Invoice Parsing

$0.001120/call

Resume Parsing

$0.001460/call

Chain of Thought

$0.006600/call

Legal Analysis

$0.006800/call

Math Reasoning

$0.003900/call

Financial Analysis

$0.006400/call

Content Moderation

$0.000220/call

Sentiment Analysis

$0.000220/call

Categorization

$0.000340/call

Intent Detection

$0.000180/call

Copywriting

$0.002500/call

Blog Writing

$0.009800/call

Marketing Copy

$0.003760/call

Product Descriptions

$0.001900/call

Related pages

Frequently asked questions

How much does GPT 5.6 Luna cost for sql generation per API call?

A typical sql generation call using GPT 5.6 Luna costs about $0.001500 per call. This estimate uses 1,500 input tokens and 1,000 output tokens at standard rates. Standard rates are $0.20 per million input tokens and $1.20 per million output tokens.

Is GPT 5.6 Luna the best model for sql generation?

GPT 5.6 Luna scores 62 out of 100 on sql generation benchmarks overall. It ranks #17 across all 88 models in our cross-provider registry. The highest-ranked model for this task is Claude Opus 5.5 from Claude. That model scores 79/100 on this task type. Confidence scores are a third-party benchmark snapshot from week 26 of 2026. This snapshot is 17 weeks old, so treat the scores as directional and validate against your own evals.

What is the cheapest model for sql generation with good quality?

The most affordable model for sql generation above 80/100 quality is Claude Haiku 4.5. It comes from Claude at $1.00 per million input tokens. Output costs $5.00 per million tokens with a quality score of 72/100. Claude Haiku 4.5 costs more per call than GPT 5.6 Luna but scores higher on quality benchmarks for this task type.

How can I reduce my GPT 5.6 Luna costs for sql generation?

Three strategies lower GPT 5.6 Luna 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 $0.001500 to about $0.000075 per call.

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

GPT has 37 other models alongside GPT 5.6 Luna 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 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 Turbo 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), GPT 6.1 Sol at $2.00/$10.00 per million tokens (flagship). The right choice depends on whether your sql generation workload prioritizes quality, cost, or speed.

What context window does GPT 5.6 Luna support?

GPT 5.6 Luna supports a context window of 922K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For sql generation, typical calls use 1,500 input and 1,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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