GPT-6 Astra vs Claude Fable 5.1 for 500K-Token Financial Earnings Analysis

GPT-6 Astra vs Claude Fable 5.1
Complete Comparison: 500,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 50% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 50% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria GPT-6 Astra
OpenAI
Claude Fable 5.1
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 500,000 500,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $5.000000Worst $1.250000Best
Output Cost $0.100000Worst $0.025000 (rounded ~ $0.03)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $2.850000 Most Expensive $0.665625 (rounded ~ $0.67) Best Value
Processing Time 20 minutes, 19.32 seconds Fastest 40 minutes, 38.47 seconds Slowest
Tokens per Second 420Fastest 210Slowest
Time to First Token 320ms Best 430ms Worst
Cost per 1K tokens $0.005677 (rounded ~ $0.01)Worst $0.001326Best
Tokens per Dollar 176,140Worst Value 754,178Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $10.000000Worst $2.500000Best
Output Cost / 1M (Base) $50.000000Worst $12.500000Best
Input Cost / 1M (Optimized) $5.000000Worst
Optimizations: 50.0% batch
$1.250000Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $25.000000Worst
Optimizations: 50.0% batch
$6.250000Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
50
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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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

$2.850000 Total Cost
$2.500000 Input Cost
$0.100000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
502,000Total Tokens
$0.005677Cost per 1K
176,140Tokens per $
🔄 Cliff Pricing Active: Using Premium pricing (premium) based on token volume.

📊 Advanced Cost Breakdown

Processing Speed

20m 19s Processing Time
420 Tokens/Second
320ms Time to First Token
412 Effective Speed

Model Comparison

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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
📊 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
⚡ 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) $5.100000 Input: $5.000000
Output: $0.100000
Optimized Cost $2.850000 Input: $5.000000
Output: $0.100000
Unit: $0.000000
Fees: $0.000000
Total Savings $2.250000 44.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount
🏔️ 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 2,000 output tokens:

  • Input Cost: $5.000000
  • Output Cost: $0.100000
  • Total Cost: $2.850000
  • Cost per 1K tokens: $0.005677 (rounded ~ $0.01)
  • Tokens per dollar: 176,140 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, 19.32 seconds
  • Latency: 320 milliseconds to first token
  • Base Throughput: 420 tokens/second
  • Effective Throughput: 412 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complex financial document parsing where balancing structured table extraction with narrative synthesis is required.

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 Fable 5.1 Anthropic 1000000

$0.665625 (rounded ~ $0.67)
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) $1.275000 (rounded ~ $1.28) Input: $1.250000
Output: $0.025000 (rounded ~ $0.03)
Optimized Cost $0.665625 (rounded ~ $0.67) Input: $1.250000
Output: $0.025000 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.609375 47.8% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 500,000 input tokens and 2,000 output tokens:

  • Input Cost: $1.250000
  • Output Cost: $0.025000 (rounded ~ $0.03)
  • Total Cost: $0.665625 (rounded ~ $0.67)
  • Cost per 1K tokens: $0.001326
  • Tokens per dollar: 754,178 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 210 tokens per second and 430ms time to first token:

  • Processing Time: 40 minutes, 38.47 seconds
  • Latency: 430 milliseconds to first token
  • Base Throughput: 210 tokens/second
  • Effective Throughput: 206 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for complex financial document parsing where balancing structured table extraction with narrative synthesis is required.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Fable 5.1. 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: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-6 Astra vs Claude Fable 5.1
🏆 GPT-5.6 Luna
OpenAI
 $0.014350 (rounded ~ $0.01) Best Value ↓ 99.5% cheaper ↓ 97.8% cheaper
🥈 Gemini 3.1 Flash Lite
Google
 $0.017938 (rounded ~ $0.02) ↓ 99.4% cheaper ↓ 97.3% cheaper
🥉 Gemini 3.5 Flash-Lite
Google
 $0.021875 (rounded ~ $0.02) ↓ 99.2% cheaper ↓ 96.7% cheaper
#4 Gemini 2.5 Flash
Google
 $0.021875 (rounded ~ $0.02) ↓ 99.2% cheaper ↓ 96.7% cheaper
#5 GPT-6 Luna
OpenAI
 $0.028250 (rounded ~ $0.03) ↓ 99% cheaper ↓ 95.8% cheaper
#6 Gemini 3.8 Flash
Google
 $0.053438 (rounded ~ $0.05) ↓ 98.1% cheaper ↓ 92% cheaper
#7 Gemini 3.6 Flash
Google
 $0.053438 (rounded ~ $0.05) ↓ 98.1% cheaper ↓ 92% cheaper
#8 Claude Haiku 5.5
Anthropic
 $0.071250 (rounded ~ $0.07) ↓ 97.5% cheaper ↓ 89.3% cheaper
#9 Mistral Large 4
Mistral AI
 $0.095590 (rounded ~ $0.10) ↓ 96.6% cheaper ↓ 85.6% cheaper
#10 Claude Sonnet 5.5
Anthropic
 $0.136250 (rounded ~ $0.14) ↓ 95.2% cheaper ↓ 79.5% cheaper
#11 Claude Sonnet 5
Anthropic
 $0.142500 (rounded ~ $0.14) ↓ 95% cheaper ↓ 78.6% cheaper
#12 Gemini 4 Argon
Google
 $0.142500 (rounded ~ $0.14) ↓ 95% cheaper ↓ 78.6% cheaper
#13 Gemini 3.1 Flash
Google
 $0.143500 (rounded ~ $0.14) ↓ 95% cheaper ↓ 78.4% cheaper
#14 GPT-5.6 Terra
OpenAI
 $0.143500 (rounded ~ $0.14) ↓ 95% cheaper ↓ 78.4% cheaper
#15 Claude Sonnet 4.6
Anthropic
 $0.213750 (rounded ~ $0.21) ↓ 92.5% cheaper ↓ 67.9% cheaper
#16 Claude Opus 5.5
Anthropic
 $0.272500 (rounded ~ $0.27) ↓ 90.4% cheaper ↓ 59.1% cheaper
#17 GPT-5.6 Sol
OpenAI
 $0.285000 (rounded ~ $0.29) ↓ 90% cheaper ↓ 57.2% cheaper
#18 Claude Opus 4.7
Anthropic
 $0.356250 (rounded ~ $0.36) ↓ 87.5% cheaper ↓ 46.5% cheaper
#19 Claude Opus 5
Anthropic
 $0.356250 (rounded ~ $0.36) ↓ 87.5% cheaper ↓ 46.5% cheaper
#20 Claude Opus 4.8
Anthropic
 $0.356250 (rounded ~ $0.36) ↓ 87.5% cheaper ↓ 46.5% cheaper
#21 Claude Opus 4.6
Anthropic
 $0.356250 (rounded ~ $0.36) ↓ 87.5% cheaper ↓ 46.5% cheaper
#22 Gemini 2.5 Pro
Google
 $0.358750 (rounded ~ $0.36) ↓ 87.4% cheaper ↓ 46.1% cheaper
#23 Grok 4.3
xAI
 $0.558000 (rounded ~ $0.56) ↓ 80.4% cheaper ↓ 16.2% cheaper
#24 Grok 4.20 Beta
xAI
 $0.558000 (rounded ~ $0.56) ↓ 80.4% cheaper ↓ 16.2% cheaper
#25 GPT-6.1 Sol
OpenAI
 $0.565000 (rounded ~ $0.57) ↓ 80.2% cheaper ↓ 15.1% cheaper
#26 GPT-6 Sol
OpenAI
 $0.565000 (rounded ~ $0.57) ↓ 80.2% cheaper ↓ 15.1% cheaper
#27 Gemini 3.1 Pro
Google
 $0.568000 (rounded ~ $0.57) ↓ 80.1% cheaper ↓ 14.7% cheaper
#28 Claude Fable 5.1
Anthropic
 $0.665625 (rounded ~ $0.67) ↓ 76.6% cheaper Same price
#29 Claude Mythos 5.1
Anthropic
 $0.665625 (rounded ~ $0.67) ↓ 76.6% cheaper Same price
#30 GPT-5.4
OpenAI
 $0.710000 ↓ 75.1% cheaper ↑ 6.7% more
#31 GPT-5.4 Thinking
OpenAI
 $0.710000 ↓ 75.1% cheaper ↑ 6.7% more
#32 Claude Fable 5
Anthropic
 $0.712500 (rounded ~ $0.71) ↓ 75% cheaper ↑ 7% more
#33 Claude Mythos 5
Anthropic
 $0.712500 (rounded ~ $0.71) ↓ 75% cheaper ↑ 7% more
#34 GPT-5.5
OpenAI
 $1.420000 ↓ 50.2% cheaper ↑ 113.3% more
#35 GPT-5.5
OpenAI
 $1.420000 ↓ 50.2% cheaper ↑ 113.3% more
🏆

GPT-5.6 Luna
OpenAI

$0.014350 (rounded ~ $0.01)
vs GPT-6 Astra: ↓ 99.5%
vs Claude Fable 5.1: ↓ 97.8%
🥈

Gemini 3.1 Flash Lite
Google

$0.017938 (rounded ~ $0.02)
vs GPT-6 Astra: ↓ 99.4%
vs Claude Fable 5.1: ↓ 97.3%
🥉

Gemini 3.5 Flash-Lite
Google

$0.021875 (rounded ~ $0.02)
vs GPT-6 Astra: ↓ 99.2%
vs Claude Fable 5.1: ↓ 96.7%
#4

Gemini 2.5 Flash
Google

$0.021875 (rounded ~ $0.02)
vs GPT-6 Astra: ↓ 99.2%
vs Claude Fable 5.1: ↓ 96.7%
#5

GPT-6 Luna
OpenAI

$0.028250 (rounded ~ $0.03)
vs GPT-6 Astra: ↓ 99%
vs Claude Fable 5.1: ↓ 95.8%
#6

Gemini 3.8 Flash
Google

$0.053438 (rounded ~ $0.05)
vs GPT-6 Astra: ↓ 98.1%
vs Claude Fable 5.1: ↓ 92%
#7

Gemini 3.6 Flash
Google

$0.053438 (rounded ~ $0.05)
vs GPT-6 Astra: ↓ 98.1%
vs Claude Fable 5.1: ↓ 92%
#8

Claude Haiku 5.5
Anthropic

$0.071250 (rounded ~ $0.07)
vs GPT-6 Astra: ↓ 97.5%
vs Claude Fable 5.1: ↓ 89.3%
#9

Mistral Large 4
Mistral AI

$0.095590 (rounded ~ $0.10)
vs GPT-6 Astra: ↓ 96.6%
vs Claude Fable 5.1: ↓ 85.6%
#10

Claude Sonnet 5.5
Anthropic

$0.136250 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 95.2%
vs Claude Fable 5.1: ↓ 79.5%
#11

Claude Sonnet 5
Anthropic

$0.142500 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 95%
vs Claude Fable 5.1: ↓ 78.6%
#12

Gemini 4 Argon
Google

$0.142500 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 95%
vs Claude Fable 5.1: ↓ 78.6%
#13

Gemini 3.1 Flash
Google

$0.143500 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 95%
vs Claude Fable 5.1: ↓ 78.4%
#14

GPT-5.6 Terra
OpenAI

$0.143500 (rounded ~ $0.14)
vs GPT-6 Astra: ↓ 95%
vs Claude Fable 5.1: ↓ 78.4%
#15

Claude Sonnet 4.6
Anthropic

$0.213750 (rounded ~ $0.21)
vs GPT-6 Astra: ↓ 92.5%
vs Claude Fable 5.1: ↓ 67.9%
#16

Claude Opus 5.5
Anthropic

$0.272500 (rounded ~ $0.27)
vs GPT-6 Astra: ↓ 90.4%
vs Claude Fable 5.1: ↓ 59.1%
#17

GPT-5.6 Sol
OpenAI

$0.285000 (rounded ~ $0.29)
vs GPT-6 Astra: ↓ 90%
vs Claude Fable 5.1: ↓ 57.2%
#18

Claude Opus 4.7
Anthropic

$0.356250 (rounded ~ $0.36)
vs GPT-6 Astra: ↓ 87.5%
vs Claude Fable 5.1: ↓ 46.5%
#19

Claude Opus 5
Anthropic

$0.356250 (rounded ~ $0.36)
vs GPT-6 Astra: ↓ 87.5%
vs Claude Fable 5.1: ↓ 46.5%
#20

Claude Opus 4.8
Anthropic

$0.356250 (rounded ~ $0.36)
vs GPT-6 Astra: ↓ 87.5%
vs Claude Fable 5.1: ↓ 46.5%
#21

Claude Opus 4.6
Anthropic

$0.356250 (rounded ~ $0.36)
vs GPT-6 Astra: ↓ 87.5%
vs Claude Fable 5.1: ↓ 46.5%
#22

Gemini 2.5 Pro
Google

$0.358750 (rounded ~ $0.36)
vs GPT-6 Astra: ↓ 87.4%
vs Claude Fable 5.1: ↓ 46.1%
#23

Grok 4.3
xAI

$0.558000 (rounded ~ $0.56)
vs GPT-6 Astra: ↓ 80.4%
vs Claude Fable 5.1: ↓ 16.2%
#24

Grok 4.20 Beta
xAI

$0.558000 (rounded ~ $0.56)
vs GPT-6 Astra: ↓ 80.4%
vs Claude Fable 5.1: ↓ 16.2%
#25

GPT-6.1 Sol
OpenAI

$0.565000 (rounded ~ $0.57)
vs GPT-6 Astra: ↓ 80.2%
vs Claude Fable 5.1: ↓ 15.1%
#26

GPT-6 Sol
OpenAI

$0.565000 (rounded ~ $0.57)
vs GPT-6 Astra: ↓ 80.2%
vs Claude Fable 5.1: ↓ 15.1%
#27

Gemini 3.1 Pro
Google

$0.568000 (rounded ~ $0.57)
vs GPT-6 Astra: ↓ 80.1%
vs Claude Fable 5.1: ↓ 14.7%
#28

Claude Fable 5.1
Anthropic

$0.665625 (rounded ~ $0.67)
vs GPT-6 Astra: ↓ 76.6%
vs Claude Fable 5.1: Same
#29

Claude Mythos 5.1
Anthropic

$0.665625 (rounded ~ $0.67)
vs GPT-6 Astra: ↓ 76.6%
vs Claude Fable 5.1: Same
#30

GPT-5.4
OpenAI

$0.710000
vs GPT-6 Astra: ↓ 75.1%
vs Claude Fable 5.1: ↑ 6.7%
#31

GPT-5.4 Thinking
OpenAI

$0.710000
vs GPT-6 Astra: ↓ 75.1%
vs Claude Fable 5.1: ↑ 6.7%
#32

Claude Fable 5
Anthropic

$0.712500 (rounded ~ $0.71)
vs GPT-6 Astra: ↓ 75%
vs Claude Fable 5.1: ↑ 7%
#33

Claude Mythos 5
Anthropic

$0.712500 (rounded ~ $0.71)
vs GPT-6 Astra: ↓ 75%
vs Claude Fable 5.1: ↑ 7%
#34

GPT-5.5
OpenAI

$1.420000
vs GPT-6 Astra: ↓ 50.2%
vs Claude Fable 5.1: ↑ 113.3%
#35

GPT-5.5
OpenAI

$1.420000
vs GPT-6 Astra: ↓ 50.2%
vs Claude Fable 5.1: ↑ 113.3%
✨ 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.

Parsing High-Stakes Financial Filings

Parsing 100-page 10-K filings into structured JSON or CSV formats is a high-stakes task where document fidelity is paramount. When dealing with 500K-token batches—essentially the entire annual report—the choice between GPT-6 Astra and Claude Fable 5.1 hinges on how each model handles dense, structured data extraction versus nuanced narrative summaries.

GPT-6 Astra offers robust reasoning capabilities that shine when navigating complex financial statements, where logical consistency across balance sheets and cash flow statements is critical. It excels at identifying discrepancies in tables that might trip up less sophisticated models. For a translation agency, this means fewer hallucinations in the final structured output and higher reliability when converting text-based table data.

Claude Fable 5.1, by contrast, brings an exceptional grasp of long-form narrative, which is invaluable when parsing the Management’s Discussion and Analysis (MD&A) sections of 10-K filings. Its ability to maintain coherence across massive context windows allows it to synthesize risk factors and strategic outlooks effectively. While both models support large context windows suitable for 10-K analysis, the decision usually boils down to whether your priority is raw numerical accuracy in financial tables or the synthesis of qualitative disclosures.

In practice, many agencies find that using both—GPT-6 Astra for tabular extraction and Claude Fable 5.1 for narrative analysis—yields the most accurate deliverable for financial clients. Consider latency requirements and specific API availability when choosing your primary production engine, as high-accuracy reasoning models often require more compute time to generate precise structured outputs.

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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