GPT · Fast / Budget · 922K context window

GPT 6 Luna pricing for invoice parsing

$0.000500 per call at 2,000 input / 600 output tokens.

Per call

$0.000500

10K calls/mo

$5

Cache savings

90% off input

Batch savings

50% off all

Calculate your GPT 6 Luna costs

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

Configure your usage

2,000
100100K
600
5050K
10,000
1001M

Estimated cost

Monthly cost
$5
10,000 calls/month
Cost per call$0.000500
Daily cost$0.1667
Input rate$0.10/MTok
Output rate$0.50/MTok
Analyze your real spend

Quick start

Call GPT 6 Luna with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-6-luna",
    max_tokens=600,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.000500 per call at standard rates
# Input:  $0.10/MTok
# Output: $0.50/MTok

How GPT 6 Luna compares on cost

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

Cheapest viable option: GPT 5.6 Luna at $0.001120/call (-124% less, 89/100 quality).

What drives invoice parsing cost

Invoices are short, highly repetitive documents processed in bulk: the ideal batch API workload. Per-document cost is low; total cost is set by volume and by whether you are paying full rate for a job that could have run asynchronously overnight at a discount. The extraction schema is constant, so it should never be paying full input rate either.

For GPT 6 Luna specifically, that means output tokens cost 5.0x more than input, at $0.50 vs $0.10 per MTok. At this use case’s 2,000/600 token split, output accounts for 60% of the $0.000500 per-call cost.

Complete GPT 6 Luna pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$0.102,000
Output$0.50600

Prompt caching: 90% off input tokens

Caching drops input cost from $0.10 to $0.01/MTok. For repeated system prompts, that saves $0.000180 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$0.000500$5$3.2$1.8
50,000 calls$0.000500$25$16$9
100,000 calls$0.000500$50$32$18
500,000 calls$0.000500$250$160$90
1,000,000 calls$0.000500$500$320$180

GPT 6 Luna quality benchmarks for invoice parsing

Benchmark data for invoice parsing is pending for GPT 6 Luna. Test against your own evaluation suite before moving to production.

Performance across all task types

GPT 6 Luna scores by task type. Invoice Parsing highlighted.

Task typeConfidence scoreRank 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.

Alternative models for invoice parsing

14 models score 80+ on invoice parsing benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (-124% less, 89/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
GPT 5.6 LunaGPT$0.20$1.2089/100$0.001120124% more
Gemini 3.5 Flash-LiteGemini$0.30$2.5083/100$0.002100320% more
Gemini 3 FlashGemini$0.50$3.0086/100$0.002800460% more
Claude Haiku 4.5Claude$1.00$5.0088/100$0.005000900% more
Gemini 3.5 FlashGemini$1.50$9.0090/100$0.0084001580% more
Claude Sonnet 5Claude$2.00$10.0088/100$0.0100001900% more
GPT 5.6 TerraGPT$2.00$12.0090/100$0.01122140% more
Gemini 3.1 ProGemini$2.00$12.0085/100$0.01122140% more
GPT 5.4GPT$2.50$15.0089/100$0.01402700% more
Claude Sonnet 4.6Claude$3.00$15.0086/100$0.01502900% more
GPT 5.6 SolGPT$4.00$20.0088/100$0.02003900% more
Claude Opus 4.8Claude$5.00$25.0082/100$0.02504900% more
GPT 5.5GPT$5.00$30.0087/100$0.02805500% more
Claude Fable 5Claude$10.00$50.0085/100$0.05009900% more

About GPT 6 Luna

Provider

GPT

Tier

Fast / Budget

Context

922K 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.

Other models from GPT

ModelTierInput $/MTokOutput $/MTokContext
GPT 5.5Flagship$5.00$30.001,050K
GPT 5.4Mid-tier$2.50$15.001,050K
GPT 5.6 SolFlagship$4.00$20.00922K
GPT 5.6 TerraMid-tier$2.00$12.00922K
GPT 5.6 LunaFast / Budget$0.20$1.20922K
GPT 3.5 TurboFast / Budget$0.50$1.5016.385K
GPT 3.5 Turbo (0125)Fast / Budget$0.50$1.5016.385K
GPT 4 (0613)Flagship$30.00$60.008.192K
GPT 4 Turbo (2024-04-09)Flagship$10.00$30.00128K
GPT 4.1Mid-tier$2.00$8.001,047.576K
GPT 4.1 MiniFast / Budget$0.40$1.601,047.576K
GPT 4.1 NanoFast / Budget$0.10$0.401,047.576K
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$180.001,050K
GPT 5.5 ProFlagship$30.00$180.001,050K
GPT 6 AstraFlagship$10.00$50.00922K
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

You can compare GPT 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.

Frequently asked questions

How much does GPT 6 Luna cost for invoice parsing per API call?

A typical invoice parsing call using GPT 6 Luna costs about $0.000500 per call. This estimate uses 2,000 input tokens and 600 output tokens at standard rates. Standard rates are $0.10 per million input tokens and $0.50 per million output tokens.

Is GPT 6 Luna the best model for invoice parsing?

Our benchmark data does not yet include a invoice parsing ranking for GPT 6 Luna. We recommend testing it against your own evaluation criteria before production usage.

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

The most affordable model for invoice parsing 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 89/100. Switching from GPT 6 Luna to GPT 5.6 Luna saves about -124% per API call.

How can I reduce my GPT 6 Luna costs for invoice parsing?

Three strategies lower GPT 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 $0.000500 to about $0.000025 per call.

How does GPT 6 Luna pricing compare to other GPT models?

GPT has 34 other models alongside GPT 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 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 (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 4.1 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 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 invoice parsing workload prioritizes quality, cost, or speed.

What context window does GPT 6 Luna support?

GPT 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 invoice parsing, typical calls use 2,000 input and 600 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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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.