GPT · Flagship · 922K context window

GPT 6 Astra pricing for json extraction

$0.0700 per call at 3,000 input / 800 output tokens.

Per call

$0.0700

10K calls/mo

$700

Cache savings

90% off input

Batch savings

50% off all

Calculate your GPT 6 Astra costs

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

Configure your usage

3,000
100100K
800
5050K
10,000
1001M

Estimated cost

Monthly cost
$700
10,000 calls/month
Cost per call$0.07
Daily cost$23
Input rate$10.00/MTok
Output rate$50.00/MTok
Analyze your real spend

Quick start

Call GPT 6 Astra with the OpenAI Python SDK:

from openai import OpenAI

client = OpenAI()
response = client.chat.completions.create(
    model="gpt-6-astra",
    max_tokens=800,
    messages=[{"role": "user", "content": "Your prompt here"}]
)
# Cost: ~$0.0700 per call at standard rates
# Input:  $10.00/MTok
# Output: $50.00/MTok

How GPT 6 Astra compares on cost

Per-call cost for all models scoring 50+ on json extraction benchmarks. Hover for details.

Cheapest viable option: GPT 5.6 Luna at $0.001560/call (98% less, 89/100 quality).

What drives json extraction cost

Structured JSON output is compact and predictable, so cost is set almost entirely by how much source text you send. The schema itself is identical on every call and belongs in the cached prefix. This is also a task where a smaller model often matches a larger one: the output space is constrained by the schema, which limits how wrong a cheaper model can go.

For GPT 6 Astra specifically, that means output tokens cost 5.0x more than input, at $50.00 vs $10.00 per MTok. At this use case’s 3,000/800 token split, output accounts for 57% of the $0.0700 per-call cost.

Complete GPT 6 Astra pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$10.003,000
Output$50.00800

Prompt caching: 90% off input tokens

Caching drops input cost from $10.00 to $1.00/MTok. For repeated system prompts, that saves $0.0270 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$0.0700$700$430$270
50,000 calls$0.0700$3,500$2,150$1,350
100,000 calls$0.0700$7,000$4,300$2,700
500,000 calls$0.0700$35,000$21,500$13,500
1,000,000 calls$0.0700$70,000$43,000$27,000

GPT 6 Astra quality benchmarks for json extraction

Benchmark data for json extraction is pending for GPT 6 Astra. Test against your own evaluation suite before moving to production.

Performance across all task types

GPT 6 Astra scores by task type. JSON Extraction 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 json extraction

14 models score 80+ on json extraction benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (98% less, 89/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs GPT
GPT 5.6 LunaGPT$0.20$1.2089/100$0.00156098% cheaper
Gemini 3.5 Flash-LiteGemini$0.30$2.5083/100$0.00290096% cheaper
Gemini 3 FlashGemini$0.50$3.0086/100$0.00390094% cheaper
Claude Haiku 4.5Claude$1.00$5.0088/100$0.00700090% cheaper
Gemini 3.5 FlashGemini$1.50$9.0090/100$0.011783% cheaper
Claude Sonnet 5Claude$2.00$10.0088/100$0.014080% cheaper
GPT 5.6 TerraGPT$2.00$12.0090/100$0.015678% cheaper
Gemini 3.1 ProGemini$2.00$12.0085/100$0.015678% cheaper
GPT 5.4GPT$2.50$15.0089/100$0.019572% cheaper
Claude Sonnet 4.6Claude$3.00$15.0086/100$0.021070% cheaper
GPT 5.6 SolGPT$4.00$20.0088/100$0.028060% cheaper
Claude Opus 4.8Claude$5.00$25.0082/100$0.035050% cheaper
GPT 5.5GPT$5.00$30.0087/100$0.039044% cheaper
Claude Fable 5Claude$10.00$50.0085/100$0.0700same cost

About GPT 6 Astra

Provider

GPT

Tier

Flagship

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 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

You can compare GPT 6 Astra 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 Astra cost for json extraction per API call?

A typical json extraction call using GPT 6 Astra costs about $0.0700 per call. This estimate uses 3,000 input tokens and 800 output tokens at standard rates. Standard rates are $10.00 per million input tokens and $50.00 per million output tokens.

Is GPT 6 Astra the best model for json extraction?

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

What is the cheapest model for json extraction with good quality?

The most affordable model for json extraction 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 Astra to GPT 5.6 Luna saves about 98% per API call.

How can I reduce my GPT 6 Astra costs for json extraction?

Three strategies lower GPT 6 Astra 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 $0.0700 to about $0.003500 per call.

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

GPT has 34 other models alongside GPT 6 Astra 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 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 json extraction workload prioritizes quality, cost, or speed.

What context window does GPT 6 Astra support?

GPT 6 Astra supports a context window of 922K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For json extraction, typical calls use 3,000 input and 800 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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