GPT-6 Astra vs Claude Sonnet 5 for 500K-Token Internal Q&A

GPT-6 Astra vs Claude Sonnet 5
Complete Comparison: 500,000 input tokens × 500 output tokens
Comparison Mode
⚡ 80% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 80% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria GPT-6 Astra
OpenAI
Claude Sonnet 5
Anthropic
Calculation Results (Current Inputs) (80% cached)
Input Tokens 500,000 500,000
Output Tokens 500 500
Cost Breakdown
Input Cost $10.000000Worst $1.000000Best
Output Cost $0.050000Worst $0.005000 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $2.850000 Most Expensive $0.285000 (rounded ~ $0.29) Best Value
Processing Time 20 minutes, 15.68 seconds Slowest 18 minutes, 29.98 seconds Fastest
Tokens per Second 420Slowest 460Fastest
Time to First Token 320ms Worst 195ms Best
Cost per 1K tokens $0.005694 (rounded ~ $0.01)Worst $0.000569Best
Tokens per Dollar 175,614Worst Value 1,756,140Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $20.000000Worst $2.000000Best
Output Cost / 1M (Base) $100.000000Worst $10.000000Best
Input Cost / 1M (Optimized) $20.000000Worst
Optimizations: No optimizations applied
$2.000000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $100.000000Worst
Optimizations: No optimizations applied
$10.000000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
80
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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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
▼
▼
Use Batch API (50% discount)
80%
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

$2.850000 Total Cost
$2.000000 Input Cost
$0.050000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
500,500Total Tokens
$0.005694Cost per 1K
175,614Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.
📊 Advanced Cost Breakdown

Processing Speed

20m 15s Processing Time
420 Tokens/Second
320ms Time to First Token
412 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
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

GPT-6 Astra OpenAI 1050000 🏔️ Context Cliff

$2.850000
Total Cost
⚡ 80% Cached 🔧 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) $10.050000 Input: $10.000000
Output: $0.050000
Optimized Cost $2.850000 Input: $10.000000
Output: $0.050000
Unit: $0.000000
Fees: $0.000000
Total Savings $7.200000 71.6% discount

Advanced Cost Breakdown (from Plugin)

🏔️ Context Cliff
Premium Tier
>272,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 272,000)

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 500 output tokens:

  • Input Cost: $10.000000
  • Output Cost: $0.050000
  • Total Cost: $2.850000
  • Cost per 1K tokens: $0.005694 (rounded ~ $0.01)
  • Tokens per dollar: 175,614 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: 20 minutes, 15.68 seconds
  • Latency: 320 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 412 tokens/second (temperature-adjusted)

Best Use Cases

GPT-6 Astra is ideal for agentic workflows requiring multi-step reasoning and tool use; Claude Sonnet 5 is the better choice for accuratecitation-heavy retrieval and policy Q&A.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-6 Astra. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

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Claude Sonnet 5 Anthropic 1000000

$0.285000 (rounded ~ $0.29)
Total Cost
⚡ 80% Cached 🔧 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) $1.005000 (rounded ~ $1.01) Input: $1.000000
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $0.285000 (rounded ~ $0.29) Input: $1.000000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.720000 71.6% discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 500 output tokens:

  • Input Cost: $1.000000
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $0.285000 (rounded ~ $0.29)
  • Cost per 1K tokens: $0.000569
  • Tokens per dollar: 1,756,140 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 460 tokens per second and 195ms time to first token:

  • Processing Time: 18 minutes, 29.98 seconds
  • Latency: 195 milliseconds to first token
  • Base Throughput: 460 tokens/second
  • Effective Throughput: 451 tokens/second (temperature-adjusted)

Best Use Cases

GPT-6 Astra is ideal for agentic workflows requiring multi-step reasoning and tool use; Claude Sonnet 5 is the better choice for accuratecitation-heavy retrieval and policy Q&A.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 5. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.

Get my instant AI audit — $39 →

✨ Market Recommendations AI Model Registry

← Back to GPT-6 Astra
📋 Active Input Parameters
Input Tokens: 500,000
Output Tokens: 500
Cached Tokens: 80%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-6 Astra vs Claude Sonnet 5
🏆 Gemini 3.1 Flash Lite
Google
 $0.035750 (rounded ~ $0.04) Best Value ↓ 98.7% cheaper ↓ 87.5% cheaper
🥈 Gemini 3.5 Flash-Lite
Google
 $0.043250 (rounded ~ $0.04) ↓ 98.5% cheaper ↓ 84.8% cheaper
🥉 Gemini 2.5 Flash
Google
 $0.043250 (rounded ~ $0.04) ↓ 98.5% cheaper ↓ 84.8% cheaper
#4 Gemini 3.8 Flash
Google
 $0.106875 (rounded ~ $0.11) ↓ 96.3% cheaper ↓ 62.5% cheaper
#5 Gemini 3.1 Flash
Google
 $0.143000 (rounded ~ $0.14) ↓ 95% cheaper ↓ 49.8% cheaper
#6 GPT-5.6 Luna
OpenAI
 $0.143000 (rounded ~ $0.14) ↓ 95% cheaper ↓ 49.8% cheaper
#7 Gemini 3.6 Flash
Google
 $0.213750 (rounded ~ $0.21) ↓ 92.5% cheaper ↓ 25% cheaper
#8 Gemini 3.5 Flash
Google
 $0.214500 (rounded ~ $0.21) ↓ 92.5% cheaper ↓ 24.7% cheaper
#9 Claude Sonnet 5
Anthropic
 $0.285000 (rounded ~ $0.29) ↓ 90% cheaper Same price
#10 Grok 4.3
xAI
 $0.352500 (rounded ~ $0.35) ↓ 87.6% cheaper ↑ 23.7% more
#11 Grok 4.20 Beta
xAI
 $0.352500 (rounded ~ $0.35) ↓ 87.6% cheaper ↑ 23.7% more
#12 Gemini 2.5 Pro
Google
 $0.357500 (rounded ~ $0.36) ↓ 87.5% cheaper ↑ 25.4% more
#13 GPT-5.6 Terra
OpenAI
 $0.357500 (rounded ~ $0.36) ↓ 87.5% cheaper ↑ 25.4% more
#14 Claude Sonnet 4.6
Anthropic
 $0.427500 (rounded ~ $0.43) ↓ 85% cheaper ↑ 50% more
#15 Gemini 3.1 Pro
Google
 $0.569000 (rounded ~ $0.57) ↓ 80% cheaper ↑ 99.6% more
#16 GPT-5.4
OpenAI
 $0.711250 (rounded ~ $0.71) ↓ 75% cheaper ↑ 149.6% more
#17 GPT-5.4 Thinking
OpenAI
 $0.711250 (rounded ~ $0.71) ↓ 75% cheaper ↑ 149.6% more
#18 Claude Opus 4.7
Anthropic
 $0.712500 (rounded ~ $0.71) ↓ 75% cheaper ↑ 150% more
#19 Claude Opus 5
Anthropic
 $0.712500 (rounded ~ $0.71) ↓ 75% cheaper ↑ 150% more
#20 Claude Opus 4.8
Anthropic
 $0.712500 (rounded ~ $0.71) ↓ 75% cheaper ↑ 150% more
#21 Claude Opus 4.6
Anthropic
 $0.712500 (rounded ~ $0.71) ↓ 75% cheaper ↑ 150% more
#22 GPT-5.6 Sol
OpenAI
 $0.715000 (rounded ~ $0.72) ↓ 74.9% cheaper ↑ 150.9% more
#23 Claude Fable 5.1
Anthropic
 $1.125000 (rounded ~ $1.13) ↓ 60.5% cheaper ↑ 294.7% more
#24 Claude Mythos 5.1
Anthropic
 $1.125000 (rounded ~ $1.13) ↓ 60.5% cheaper ↑ 294.7% more
#25 GPT-5.5
OpenAI
 $1.422500 (rounded ~ $1.42) ↓ 50.1% cheaper ↑ 399.1% more
#26 Claude Fable 5
Anthropic
 $1.425000 (rounded ~ $1.43) ↓ 50% cheaper ↑ 400% more
#27 Claude Mythos 5
Anthropic
 $1.425000 (rounded ~ $1.43) ↓ 50% cheaper ↑ 400% more
#28 Claude Mythos 5
Anthropic
 $1.425000 (rounded ~ $1.43) ↓ 50% cheaper ↑ 400% more
🏆

Gemini 3.1 Flash Lite
Google

$0.035750 (rounded ~ $0.04)
vs GPT-6 Astra: ↓ 98.7%
vs Claude Sonnet 5: ↓ 87.5%
🥈

Gemini 3.5 Flash-Lite
Google

$0.043250 (rounded ~ $0.04)
vs GPT-6 Astra: ↓ 98.5%
vs Claude Sonnet 5: ↓ 84.8%
🥉

Gemini 2.5 Flash
Google

$0.043250 (rounded ~ $0.04)
vs GPT-6 Astra: ↓ 98.5%
vs Claude Sonnet 5: ↓ 84.8%
#4

Gemini 3.8 Flash
Google

$0.106875 (rounded ~ $0.11)
vs GPT-6 Astra: ↓ 96.3%
vs Claude Sonnet 5: ↓ 62.5%
#5

Gemini 3.1 Flash
Google

$0.143000 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 95%
vs Claude Sonnet 5: ↓ 49.8%
#6

GPT-5.6 Luna
OpenAI

$0.143000 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 95%
vs Claude Sonnet 5: ↓ 49.8%
#7

Gemini 3.6 Flash
Google

$0.213750 (rounded ~ $0.21)
vs GPT-6 Astra: ↓ 92.5%
vs Claude Sonnet 5: ↓ 25%
#8

Gemini 3.5 Flash
Google

$0.214500 (rounded ~ $0.21)
vs GPT-6 Astra: ↓ 92.5%
vs Claude Sonnet 5: ↓ 24.7%
#9

Claude Sonnet 5
Anthropic

$0.285000 (rounded ~ $0.29)
vs GPT-6 Astra: ↓ 90%
vs Claude Sonnet 5: Same
#10

Grok 4.3
xAI

$0.352500 (rounded ~ $0.35)
vs GPT-6 Astra: ↓ 87.6%
vs Claude Sonnet 5: ↑ 23.7%
#11

Grok 4.20 Beta
xAI

$0.352500 (rounded ~ $0.35)
vs GPT-6 Astra: ↓ 87.6%
vs Claude Sonnet 5: ↑ 23.7%
#12

Gemini 2.5 Pro
Google

$0.357500 (rounded ~ $0.36)
vs GPT-6 Astra: ↓ 87.5%
vs Claude Sonnet 5: ↑ 25.4%
#13

GPT-5.6 Terra
OpenAI

$0.357500 (rounded ~ $0.36)
vs GPT-6 Astra: ↓ 87.5%
vs Claude Sonnet 5: ↑ 25.4%
#14

Claude Sonnet 4.6
Anthropic

$0.427500 (rounded ~ $0.43)
vs GPT-6 Astra: ↓ 85%
vs Claude Sonnet 5: ↑ 50%
#15

Gemini 3.1 Pro
Google

$0.569000 (rounded ~ $0.57)
vs GPT-6 Astra: ↓ 80%
vs Claude Sonnet 5: ↑ 99.6%
#16

GPT-5.4
OpenAI

$0.711250 (rounded ~ $0.71)
vs GPT-6 Astra: ↓ 75%
vs Claude Sonnet 5: ↑ 149.6%
#17

GPT-5.4 Thinking
OpenAI

$0.711250 (rounded ~ $0.71)
vs GPT-6 Astra: ↓ 75%
vs Claude Sonnet 5: ↑ 149.6%
#18

Claude Opus 4.7
Anthropic

$0.712500 (rounded ~ $0.71)
vs GPT-6 Astra: ↓ 75%
vs Claude Sonnet 5: ↑ 150%
#19

Claude Opus 5
Anthropic

$0.712500 (rounded ~ $0.71)
vs GPT-6 Astra: ↓ 75%
vs Claude Sonnet 5: ↑ 150%
#20

Claude Opus 4.8
Anthropic

$0.712500 (rounded ~ $0.71)
vs GPT-6 Astra: ↓ 75%
vs Claude Sonnet 5: ↑ 150%
#21

Claude Opus 4.6
Anthropic

$0.712500 (rounded ~ $0.71)
vs GPT-6 Astra: ↓ 75%
vs Claude Sonnet 5: ↑ 150%
#22

GPT-5.6 Sol
OpenAI

$0.715000 (rounded ~ $0.72)
vs GPT-6 Astra: ↓ 74.9%
vs Claude Sonnet 5: ↑ 150.9%
#23

Claude Fable 5.1
Anthropic

$1.125000 (rounded ~ $1.13)
vs GPT-6 Astra: ↓ 60.5%
vs Claude Sonnet 5: ↑ 294.7%
#24

Claude Mythos 5.1
Anthropic

$1.125000 (rounded ~ $1.13)
vs GPT-6 Astra: ↓ 60.5%
vs Claude Sonnet 5: ↑ 294.7%
#25

GPT-5.5
OpenAI

$1.422500 (rounded ~ $1.42)
vs GPT-6 Astra: ↓ 50.1%
vs Claude Sonnet 5: ↑ 399.1%
#26

Claude Fable 5
Anthropic

$1.425000 (rounded ~ $1.43)
vs GPT-6 Astra: ↓ 50%
vs Claude Sonnet 5: ↑ 400%
#27

Claude Mythos 5
Anthropic

$1.425000 (rounded ~ $1.43)
vs GPT-6 Astra: ↓ 50%
vs Claude Sonnet 5: ↑ 400%
#28

Claude Mythos 5
Anthropic

$1.425000 (rounded ~ $1.43)
vs GPT-6 Astra: ↓ 50%
vs Claude Sonnet 5: ↑ 400%
✨ 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 is a primary battlefield for modern AI agents. When managing a corpus of 50 documents, the choice between these two frontier models often comes down to the specific nature of your internal workflows. Both models support massive context windows, making them capable of ingesting entire internal wikis or policy sets at once, but they exhibit distinct operational personalities.

GPT-6 Astra is designed as an agentic powerhouse. Its strength lies in its ability to navigate complex, multi-step tasks. If your internal Q&A system requires more than just retrieving a paragraph—for instance, if the model needs to synthesize information from multiple departments, cross-reference employee handbook sections against recent policy updates, or execute tool-based actions like checking a live project status—Astra’s reasoning and computer-use capabilities provide a significant advantage. It is built to act on information rather than simply summarizing it.

Claude Sonnet 5, conversely, is frequently the preferred choice for high-precision information retrieval and structured knowledge work. It is exceptionally reliable when the primary goal is grounded, accurate answers that avoid hallucination. Its adaptive thinking capabilities make it highly efficient at distinguishing between relevant and irrelevant context, which is critical when a query might touch upon dozens of overlapping internal documents. If your goal is to provide a clean, cited, and consistent interface for employees to query company policies, Sonnet 5 offers a stable and predictable experience that excels at document-centric reasoning. Choosing between them depends on whether your agent is an analyst (Sonnet) or an operator (Astra).

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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