GPT-6 Astra Pricing for 200K-Token Internal Q&A

Complete Analysis: 200,500 tokens for GPT-6 Astra
⚡ 50% Cached

Complete analysis of pricing, performance, and use cases for OpenAI's GPT-6 Astra model with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.562500 (rounded ~ $0.56) Total Cost
200,500 Total Tokens
8 minutes, 30.98 seconds Processing Time
393 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

GPT-6 Astra

OpenAIMax Context: 1,050,000 tokens
$10 / $50 per 1M tokens (Standard)
State-dependent pricing active. Current tier: Standard
50%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$0.562500 Total Cost
$0.500000 Input Cost
$0.012500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
200,500Total Tokens
$0.002805Cost per 1K
356,444Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.

📊 Advanced Cost Breakdown

Processing Speed

8m 30s Processing Time
420 Tokens/Second
320ms Time to First Token
393 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization

Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after

🧠 Reasoning & Thinking

Manual thinking tokens (billed at output rate)

🔧 Special Modes

📚 Research & Citations

Fee per source cited

🎤 Realtime Audio & Video

Session length for billing

GPT-6 Astra OpenAI 1050000

$0.562500 (rounded ~ $0.56)
Total Cost
⚡ 50% Cached 📊 Batch API 🔧 Tools
👁️
Vision/Images
✓ Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✓ Available
⚡
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.012500 (rounded ~ $1.01) Input: $1.000000
Output: $0.012500 (rounded ~ $0.01)
Optimized Cost $0.562500 (rounded ~ $0.56) Input: $1.000000
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.450000 44.4% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
📊 Cliff Pricing
Standard
standard pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 500 output tokens:

  • Input Cost: $1.000000
  • Output Cost: $0.012500 (rounded ~ $0.01)
  • Total Cost: $0.562500 (rounded ~ $0.56)
  • Cost per 1K tokens: $0.002805
  • Tokens per dollar: 356,444 tokens
  • Context Window: 1050000 tokens

Speed & Performance Analysis

With a processing speed of 420 tokens per second and 320ms time to first token:

  • Processing Time: 8 minutes, 30.98 seconds
  • Latency: 320 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 393 tokens/second (temperature-adjusted)

Best Use Cases

High-accuracy internal Q&A and complex research tasks that require deep reasoning across large document repositories.

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✨ Market Recommendations AI Model Registry

← Back to GPT-6 Astra
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-6 Astra
🏆 GPT-6 Luna
OpenAI
 $0.005625 (rounded ~ $0.01) Best Value ↓ 99% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.005650 (rounded ~ $0.01) ↓ 99% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.007063 (rounded ~ $0.01) ↓ 98.7% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.008563 (rounded ~ $0.01) ↓ 98.5% cheaper
#5 Gemini 2.5 Flash
Google
 $0.008563 (rounded ~ $0.01) ↓ 98.5% cheaper
#6 Mistral Large 3
Mistral AI
 $0.013938 (rounded ~ $0.01) ↓ 97.5% cheaper
#7 Gemini 3.8 Flash
Google
 $0.021094 (rounded ~ $0.02) ↓ 96.3% cheaper
#8 Gemini 3.6 Flash
Google
 $0.021094 (rounded ~ $0.02) ↓ 96.3% cheaper
#9 GPT-5.4 mini
OpenAI
 $0.021188 (rounded ~ $0.02) ↓ 96.2% cheaper
#10 Claude Haiku 5.5
Anthropic
 $0.028125 (rounded ~ $0.03) ↓ 95% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.028125 (rounded ~ $0.03) ↓ 95% cheaper
#12 Gemini 3.1 Flash
Google
 $0.028250 (rounded ~ $0.03) ↓ 95% cheaper
#13 Mistral Large 4
Mistral AI
 $0.037923 (rounded ~ $0.04) ↓ 93.3% cheaper
#14 Claude Sonnet 5.5
Anthropic
 $0.053750 (rounded ~ $0.05) ↓ 90.4% cheaper
#15 Gemini 4 Argon
Google
 $0.056250 (rounded ~ $0.06) ↓ 90% cheaper
#16 Claude Sonnet 5
Anthropic
 $0.056250 (rounded ~ $0.06) ↓ 90% cheaper
#17 GPT-5.6 Terra
OpenAI
 $0.056500 (rounded ~ $0.06) ↓ 90% cheaper
#18 Gemini 2.5 Pro
Google
 $0.071250 (rounded ~ $0.07) ↓ 87.3% cheaper
#19 Claude Sonnet 4.6
Anthropic
 $0.084375 (rounded ~ $0.08) ↓ 85% cheaper
#20 Claude Opus 5.5
Anthropic
 $0.107500 (rounded ~ $0.11) ↓ 80.9% cheaper
#21 Grok 4.3
xAI
 $0.111000 (rounded ~ $0.11) ↓ 80.3% cheaper
#22 Grok 4.20 Beta
xAI
 $0.111000 (rounded ~ $0.11) ↓ 80.3% cheaper
#23 GPT-6.1 Sol
OpenAI
 $0.112500 (rounded ~ $0.11) ↓ 80% cheaper
#24 GPT-6 Sol
OpenAI
 $0.112500 (rounded ~ $0.11) ↓ 80% cheaper
#25 GPT-5.6 Sol
OpenAI
 $0.112500 (rounded ~ $0.11) ↓ 80% cheaper
#26 Gemini 3.1 Pro
Google
 $0.113000 (rounded ~ $0.11) ↓ 79.9% cheaper
#27 Claude Opus 4.7
Anthropic
 $0.140625 ↓ 75% cheaper
#28 Claude Opus 5
Anthropic
 $0.140625 ↓ 75% cheaper
#29 Claude Opus 4.8
Anthropic
 $0.140625 ↓ 75% cheaper
#30 Claude Opus 4.6
Anthropic
 $0.140625 ↓ 75% cheaper
#31 GPT-5.4
OpenAI
 $0.141250 (rounded ~ $0.14) ↓ 74.9% cheaper
#32 GPT-5.4 Thinking
OpenAI
 $0.141250 (rounded ~ $0.14) ↓ 74.9% cheaper
#33 GPT-5.5 Instant
OpenAI
 $0.141250 (rounded ~ $0.14) ↓ 74.9% cheaper
#34 Claude Fable 5.1
Anthropic
 $0.262500 (rounded ~ $0.26) ↓ 53.3% cheaper
#35 Claude Mythos 5.1
Anthropic
 $0.262500 (rounded ~ $0.26) ↓ 53.3% cheaper
#36 Claude Fable 5
Anthropic
 $0.281250 (rounded ~ $0.28) ↓ 50% cheaper
#37 Claude Mythos 5
Anthropic
 $0.281250 (rounded ~ $0.28) ↓ 50% cheaper
#38 GPT-5.5
OpenAI
 $0.282500 (rounded ~ $0.28) ↓ 49.8% cheaper
#39 GPT-5.5
OpenAI
 $0.282500 (rounded ~ $0.28) ↓ 49.8% cheaper
🏆

GPT-6 Luna
OpenAI

$0.005625 (rounded ~ $0.01)
vs GPT-6 Astra: ↓ 99%
🥈

GPT-5.6 Luna
OpenAI

$0.005650 (rounded ~ $0.01)
vs GPT-6 Astra: ↓ 99%
🥉

Gemini 3.1 Flash Lite
Google

$0.007063 (rounded ~ $0.01)
vs GPT-6 Astra: ↓ 98.7%
#4

Gemini 3.5 Flash-Lite
Google

$0.008563 (rounded ~ $0.01)
vs GPT-6 Astra: ↓ 98.5%
#5

Gemini 2.5 Flash
Google

$0.008563 (rounded ~ $0.01)
vs GPT-6 Astra: ↓ 98.5%
#6

Mistral Large 3
Mistral AI

$0.013938 (rounded ~ $0.01)
vs GPT-6 Astra: ↓ 97.5%
#7

Gemini 3.8 Flash
Google

$0.021094 (rounded ~ $0.02)
vs GPT-6 Astra: ↓ 96.3%
#8

Gemini 3.6 Flash
Google

$0.021094 (rounded ~ $0.02)
vs GPT-6 Astra: ↓ 96.3%
#9

GPT-5.4 mini
OpenAI

$0.021188 (rounded ~ $0.02)
vs GPT-6 Astra: ↓ 96.2%
#10

Claude Haiku 5.5
Anthropic

$0.028125 (rounded ~ $0.03)
vs GPT-6 Astra: ↓ 95%
#11

Claude Haiku 4.5
Anthropic

$0.028125 (rounded ~ $0.03)
vs GPT-6 Astra: ↓ 95%
#12

Gemini 3.1 Flash
Google

$0.028250 (rounded ~ $0.03)
vs GPT-6 Astra: ↓ 95%
#13

Mistral Large 4
Mistral AI

$0.037923 (rounded ~ $0.04)
vs GPT-6 Astra: ↓ 93.3%
#14

Claude Sonnet 5.5
Anthropic

$0.053750 (rounded ~ $0.05)
vs GPT-6 Astra: ↓ 90.4%
#15

Gemini 4 Argon
Google

$0.056250 (rounded ~ $0.06)
vs GPT-6 Astra: ↓ 90%
#16

Claude Sonnet 5
Anthropic

$0.056250 (rounded ~ $0.06)
vs GPT-6 Astra: ↓ 90%
#17

GPT-5.6 Terra
OpenAI

$0.056500 (rounded ~ $0.06)
vs GPT-6 Astra: ↓ 90%
#18

Gemini 2.5 Pro
Google

$0.071250 (rounded ~ $0.07)
vs GPT-6 Astra: ↓ 87.3%
#19

Claude Sonnet 4.6
Anthropic

$0.084375 (rounded ~ $0.08)
vs GPT-6 Astra: ↓ 85%
#20

Claude Opus 5.5
Anthropic

$0.107500 (rounded ~ $0.11)
vs GPT-6 Astra: ↓ 80.9%
#21

Grok 4.3
xAI

$0.111000 (rounded ~ $0.11)
vs GPT-6 Astra: ↓ 80.3%
#22

Grok 4.20 Beta
xAI

$0.111000 (rounded ~ $0.11)
vs GPT-6 Astra: ↓ 80.3%
#23

GPT-6.1 Sol
OpenAI

$0.112500 (rounded ~ $0.11)
vs GPT-6 Astra: ↓ 80%
#24

GPT-6 Sol
OpenAI

$0.112500 (rounded ~ $0.11)
vs GPT-6 Astra: ↓ 80%
#25

GPT-5.6 Sol
OpenAI

$0.112500 (rounded ~ $0.11)
vs GPT-6 Astra: ↓ 80%
#26

Gemini 3.1 Pro
Google

$0.113000 (rounded ~ $0.11)
vs GPT-6 Astra: ↓ 79.9%
#27

Claude Opus 4.7
Anthropic

$0.140625
vs GPT-6 Astra: ↓ 75%
#28

Claude Opus 5
Anthropic

$0.140625
vs GPT-6 Astra: ↓ 75%
#29

Claude Opus 4.8
Anthropic

$0.140625
vs GPT-6 Astra: ↓ 75%
#30

Claude Opus 4.6
Anthropic

$0.140625
vs GPT-6 Astra: ↓ 75%
#31

GPT-5.4
OpenAI

$0.141250 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 74.9%
#32

GPT-5.4 Thinking
OpenAI

$0.141250 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 74.9%
#33

GPT-5.5 Instant
OpenAI

$0.141250 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 74.9%
#34

Claude Fable 5.1
Anthropic

$0.262500 (rounded ~ $0.26)
vs GPT-6 Astra: ↓ 53.3%
#35

Claude Mythos 5.1
Anthropic

$0.262500 (rounded ~ $0.26)
vs GPT-6 Astra: ↓ 53.3%
#36

Claude Fable 5
Anthropic

$0.281250 (rounded ~ $0.28)
vs GPT-6 Astra: ↓ 50%
#37

Claude Mythos 5
Anthropic

$0.281250 (rounded ~ $0.28)
vs GPT-6 Astra: ↓ 50%
#38

GPT-5.5
OpenAI

$0.282500 (rounded ~ $0.28)
vs GPT-6 Astra: ↓ 49.8%
#39

GPT-5.5
OpenAI

$0.282500 (rounded ~ $0.28)
vs GPT-6 Astra: ↓ 49.8%
✨ How recommendations work (v8.6.0): We scan all active models in the registry and only include those that support ALL your current inputs. For token-based models, we check if they can handle your token counts. For special pricing models (OCR, video, audio), we verify they have the correct pricing structure. Features marked requested were in your inputs but not supported by that model. Now using official provider pricing without reseller markups.

Internal knowledge base Q&A pipelines require models that can balance deep reasoning with high-fidelity context retrieval. For newsletter publishers and research teams managing a repository of 50 or more documents, the ability to synthesize nuanced information without hallucination is paramount. GPT-6 Astra stands out as a top-tier choice for this use case because of its state-of-the-art reasoning capabilities, which are essential when querying complex, interconnected source material. Unlike smaller models that might struggle with the subtle cross-references found in technical documentation or long-form research, this model maintains high accuracy even when the query requires synthesizing multiple sections of the provided context.

From a technical perspective, the long context window is a major advantage for RAG workflows. By keeping the entire knowledge base context directly in the prompt window, you reduce the risk of retrieval errors that often occur when chunks are pulled from disparate files. This model is particularly effective for teams that need to go beyond simple keyword matching and require a system that understands the intent behind employee questions. While it is a premium model, the improvement in accuracy and the reduction in the need for complex, multi-step prompt engineering often result in a net gain for overall project efficiency. For organizations where accuracy is the highest priority—such as when drafting internal policy responses or summarizing deep research—this model represents a reliable and high-performing foundation for your internal Q&A infrastructure.

Frequently Asked Questions

How accurate are these AI model cost calculations?
Our calculations are based on official pricing from each provider (Google, OpenAI, Anthropic, Meta, xAI, Perplexity, DeepSeek, Mistral) and are updated regularly. We account for all factors including multimodal inputs, caching discounts, batch API pricing, tool usage multipliers, OCR processing, audio minutes, silence fees, and research mode pricing. Note: Reseller markups and dedicated instance multipliers have been removed to reflect official provider pricing.
How does prompt caching work?
Caching discounts vary by provider: Google and OpenAI offer 90% discounts on cached input tokens. Anthropic uses write (1.25x) and read (0.10x) multipliers. Savings are applied to the token portion only, not unit-based fees.
How do Market Recommendations work (v8.6.0)?
Our recommendation engine scans the entire model registry and only includes models that support ALL your current input parameters (tokens, images, video, audio, OCR, tools, batch API, etc.). It calculates exact costs with your settings and sorts by price, showing you the best value options that can handle your complete workflow. Special pricing models (OCR, video, audio, image generation) are properly handled and only appear when their specific input types are requested. v8.6.0 removes reseller markups (20% buffer) and dedicated instance multipliers to reflect official provider pricing.
What is the YemHub AI Calculator Tool?
The YemHub AI Calculator is the most comprehensive tool for estimating costs and comparing performance metrics across 50+ AI models. It calculates token-based pricing, analyzes multimodal processing, accounts for state-dependent pricing (context cliffs, tiered tunnels), provides optimization recommendations, and now offers intelligent market matching to find the best alternatives for your specific needs.

Related model pricing

GPT-6 Astra currently costs $10.00 / $50.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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