GPT-6 Sol Pricing for Telecoms: 50K-Token Agentic Pipelines at 100M Monthly

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

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

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
$0.030000 Total Cost
50,500 Total Tokens
6 minutes, 52.66 seconds Processing Time
122 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

GPT-6 Sol

OpenAIMax Context: 1,050,000 tokens
$2 / $10 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

$0.030000 Total Cost
$0.025000 Input Cost
$0.002500 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
50,500Total Tokens
$0.000594Cost per 1K
1,683,333Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.

📊 Advanced Cost Breakdown

Processing Speed

6m 52s Processing Time
131 Tokens/Second
340ms Time to First Token
122 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 Sol OpenAI 1050000

$0.030000
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) $0.052500 (rounded ~ $0.05) Input: $0.050000
Output: $0.002500
Optimized Cost $0.030000 Input: $0.050000
Output: $0.002500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.022500 (rounded ~ $0.02) 42.9% 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 50,000 input tokens and 500 output tokens:

  • Input Cost: $0.050000
  • Output Cost: $0.002500
  • Total Cost: $0.030000
  • Cost per 1K tokens: $0.000594
  • Tokens per dollar: 1,683,333 tokens
  • Context Window: 1050000 tokens

Speed & Performance Analysis

With a processing speed of 131 tokens per second and 340ms time to first token:

  • Processing Time: 6 minutes, 52.66 seconds
  • Latency: 340 milliseconds to first token
  • Base Throughput: 131 tokens/second
  • Effective Throughput: 122 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for enterprise-scale agentic workflows requiring complex reasoning and high-frequency tool use.

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✨ Market Recommendations AI Model Registry

← Back to GPT-6 Sol
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 500
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-6 Sol
🏆 Claude Haiku 5.5
Anthropic
 $0.001500 Best Value ↓ 95% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.001500 ↓ 95% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.001525 ↓ 94.9% cheaper
#4 Gemini 3.1 Flash Lite
Google
 $0.001906 ↓ 93.6% cheaper
#5 Gemini 3.5 Flash-Lite
Google
 $0.002375 ↓ 92.1% cheaper
#6 Gemini 2.5 Flash
Google
 $0.002375 ↓ 92.1% cheaper
#7 Mistral Large 3
Mistral AI
 $0.003625 ↓ 87.9% cheaper
#8 Gemini 3.8 Flash
Google
 $0.005625 (rounded ~ $0.01) ↓ 81.3% cheaper
#9 Gemini 3.6 Flash
Google
 $0.005625 (rounded ~ $0.01) ↓ 81.3% cheaper
#10 GPT-5.4 mini
OpenAI
 $0.005719 (rounded ~ $0.01) ↓ 80.9% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.007500 (rounded ~ $0.01) ↓ 75% cheaper
#12 Gemini 3.1 Flash
Google
 $0.007625 (rounded ~ $0.01) ↓ 74.6% cheaper
#13 Mistral Large 4
Mistral AI
 $0.009873 ↓ 67.1% cheaper
#14 GPT-5.3 Codex Spark
OpenAI
 $0.013781 (rounded ~ $0.01) ↓ 54.1% cheaper
#15 GPT-5.3 Instant
OpenAI
 $0.013781 (rounded ~ $0.01) ↓ 54.1% cheaper
#16 Claude Sonnet 5.5
Anthropic
 $0.014375 (rounded ~ $0.01) ↓ 52.1% cheaper
#17 Gemini 4 Argon
Google
 $0.015000 (rounded ~ $0.02) ↓ 50% cheaper
#18 Claude Sonnet 5
Anthropic
 $0.015000 (rounded ~ $0.02) ↓ 50% cheaper
#19 GPT-5.6 Terra
OpenAI
 $0.015250 (rounded ~ $0.02) ↓ 49.2% cheaper
#20 Gemini 2.5 Pro
Google
 $0.019688 ↓ 34.4% cheaper
#21 Claude Sonnet 4.6
Anthropic
 $0.022500 (rounded ~ $0.02) ↓ 25% cheaper
#22 Grok 4.3
xAI
 $0.028500 (rounded ~ $0.03) ↓ 5% cheaper
#23 Grok 4.20 Beta
xAI
 $0.028500 (rounded ~ $0.03) ↓ 5% cheaper
#24 Claude Opus 5.5
Anthropic
 $0.028750 (rounded ~ $0.03) ↓ 4.2% cheaper
#25 GPT-6.1 Sol
OpenAI
 $0.030000 Same price
#26 GPT-5.6 Sol
OpenAI
 $0.030000 Same price
#27 Gemini 3.1 Pro
Google
 $0.030500 ↑ 1.7% more
#28 Claude Opus 4.7
Anthropic
 $0.037500 (rounded ~ $0.04) ↑ 25% more
#29 Claude Opus 5
Anthropic
 $0.037500 (rounded ~ $0.04) ↑ 25% more
#30 Claude Opus 4.8
Anthropic
 $0.037500 (rounded ~ $0.04) ↑ 25% more
#31 Claude Opus 4.6
Anthropic
 $0.037500 (rounded ~ $0.04) ↑ 25% more
#32 GPT-5.4
OpenAI
 $0.038125 (rounded ~ $0.04) ↑ 27.1% more
#33 GPT-5.4 Thinking
OpenAI
 $0.038125 (rounded ~ $0.04) ↑ 27.1% more
#34 GPT-5.5 Instant
OpenAI
 $0.038125 (rounded ~ $0.04) ↑ 27.1% more
#35 Claude Fable 5.1
Anthropic
 $0.070313 ↑ 134.4% more
#36 Claude Mythos 5.1
Anthropic
 $0.070313 ↑ 134.4% more
#37 Claude Fable 5
Anthropic
 $0.075000 (rounded ~ $0.08) ↑ 150% more
#38 Claude Mythos 5
Anthropic
 $0.075000 (rounded ~ $0.08) ↑ 150% more
#39 GPT-5.5
OpenAI
 $0.076250 (rounded ~ $0.08) ↑ 154.2% more
#40 GPT-6 Astra
OpenAI
 $0.150000 ↑ 400% more
#41 GPT-5.2 Pro
OpenAI
 $0.165375 (rounded ~ $0.17) ↑ 451.3% more
#42 GPT-5.2 Pro
OpenAI
 $0.165375 (rounded ~ $0.17) ↑ 451.3% more
🏆

Claude Haiku 5.5
Anthropic

$0.001500
vs GPT-6 Sol: ↓ 95%
🥈

GPT-6 Luna
OpenAI

$0.001500
vs GPT-6 Sol: ↓ 95%
🥉

GPT-5.6 Luna
OpenAI

$0.001525
vs GPT-6 Sol: ↓ 94.9%
#4

Gemini 3.1 Flash Lite
Google

$0.001906
vs GPT-6 Sol: ↓ 93.6%
#5

Gemini 3.5 Flash-Lite
Google

$0.002375
vs GPT-6 Sol: ↓ 92.1%
#6

Gemini 2.5 Flash
Google

$0.002375
vs GPT-6 Sol: ↓ 92.1%
#7

Mistral Large 3
Mistral AI

$0.003625
vs GPT-6 Sol: ↓ 87.9%
#8

Gemini 3.8 Flash
Google

$0.005625 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 81.3%
#9

Gemini 3.6 Flash
Google

$0.005625 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 81.3%
#10

GPT-5.4 mini
OpenAI

$0.005719 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 80.9%
#11

Claude Haiku 4.5
Anthropic

$0.007500 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 75%
#12

Gemini 3.1 Flash
Google

$0.007625 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 74.6%
#13

Mistral Large 4
Mistral AI

$0.009873
vs GPT-6 Sol: ↓ 67.1%
#14

GPT-5.3 Codex Spark
OpenAI

$0.013781 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 54.1%
#15

GPT-5.3 Instant
OpenAI

$0.013781 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 54.1%
#16

Claude Sonnet 5.5
Anthropic

$0.014375 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 52.1%
#17

Gemini 4 Argon
Google

$0.015000 (rounded ~ $0.02)
vs GPT-6 Sol: ↓ 50%
#18

Claude Sonnet 5
Anthropic

$0.015000 (rounded ~ $0.02)
vs GPT-6 Sol: ↓ 50%
#19

GPT-5.6 Terra
OpenAI

$0.015250 (rounded ~ $0.02)
vs GPT-6 Sol: ↓ 49.2%
#20

Gemini 2.5 Pro
Google

$0.019688
vs GPT-6 Sol: ↓ 34.4%
#21

Claude Sonnet 4.6
Anthropic

$0.022500 (rounded ~ $0.02)
vs GPT-6 Sol: ↓ 25%
#22

Grok 4.3
xAI

$0.028500 (rounded ~ $0.03)
vs GPT-6 Sol: ↓ 5%
#23

Grok 4.20 Beta
xAI

$0.028500 (rounded ~ $0.03)
vs GPT-6 Sol: ↓ 5%
#24

Claude Opus 5.5
Anthropic

$0.028750 (rounded ~ $0.03)
vs GPT-6 Sol: ↓ 4.2%
#25

GPT-6.1 Sol
OpenAI

$0.030000
vs GPT-6 Sol: Same
#26

GPT-5.6 Sol
OpenAI

$0.030000
vs GPT-6 Sol: Same
#27

Gemini 3.1 Pro
Google

$0.030500
vs GPT-6 Sol: ↑ 1.7%
#28

Claude Opus 4.7
Anthropic

$0.037500 (rounded ~ $0.04)
vs GPT-6 Sol: ↑ 25%
#29

Claude Opus 5
Anthropic

$0.037500 (rounded ~ $0.04)
vs GPT-6 Sol: ↑ 25%
#30

Claude Opus 4.8
Anthropic

$0.037500 (rounded ~ $0.04)
vs GPT-6 Sol: ↑ 25%
#31

Claude Opus 4.6
Anthropic

$0.037500 (rounded ~ $0.04)
vs GPT-6 Sol: ↑ 25%
#32

GPT-5.4
OpenAI

$0.038125 (rounded ~ $0.04)
vs GPT-6 Sol: ↑ 27.1%
#33

GPT-5.4 Thinking
OpenAI

$0.038125 (rounded ~ $0.04)
vs GPT-6 Sol: ↑ 27.1%
#34

GPT-5.5 Instant
OpenAI

$0.038125 (rounded ~ $0.04)
vs GPT-6 Sol: ↑ 27.1%
#35

Claude Fable 5.1
Anthropic

$0.070313
vs GPT-6 Sol: ↑ 134.4%
#36

Claude Mythos 5.1
Anthropic

$0.070313
vs GPT-6 Sol: ↑ 134.4%
#37

Claude Fable 5
Anthropic

$0.075000 (rounded ~ $0.08)
vs GPT-6 Sol: ↑ 150%
#38

Claude Mythos 5
Anthropic

$0.075000 (rounded ~ $0.08)
vs GPT-6 Sol: ↑ 150%
#39

GPT-5.5
OpenAI

$0.076250 (rounded ~ $0.08)
vs GPT-6 Sol: ↑ 154.2%
#40

GPT-6 Astra
OpenAI

$0.150000
vs GPT-6 Sol: ↑ 400%
#41

GPT-5.2 Pro
OpenAI

$0.165375 (rounded ~ $0.17)
vs GPT-6 Sol: ↑ 451.3%
#42

GPT-5.2 Pro
OpenAI

$0.165375 (rounded ~ $0.17)
vs GPT-6 Sol: ↑ 451.3%
✨ 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.

Agentic browser automation requires a delicate balance between reasoning capability and operational cost, especially when scaling to 100 million tokens monthly within telecoms and utility infrastructure. Managing automated tasks like outage reporting, customer billing reconciliation, and field service dispatch involves consistent, multi-step tool execution that demands high model reliability.

GPT-6 Sol is particularly suited for these high-volume agentic workloads. Its advanced reasoning architecture allows it to handle complex, branching logic inherent in browser-based tasks without losing context across 50,000-token sessions. For enterprise architects designing these systems, the ability to rely on a model that maintains high performance while executing 20 to 50 tool calls per session is critical for operational stability.

In the telecoms sector, where data volume from network logs and customer interactions is immense, efficiency is paramount. Using automated pipelines that leverage batch processing helps maintain throughput without sacrificing the nuance required for sensitive compliance or incident reporting. While smaller, lighter models might suffice for simple Q&A, the demands of autonomous browser interaction—where the model must interpret dynamic layouts, interact with complex elements, and perform iterative error correction—necessitate a model with robust reasoning depth.

When planning your architecture, consider how your agentic orchestration layer handles state. A model that can consistently follow instructions through deep tool-use chains reduces the need for frequent retries, optimizing the overall token expenditure per task. By aligning your agentic strategies with high-reasoning models, you ensure that even at a 100-million-token scale, your automation remains precise, scalable, and operationally sound across your entire 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 Sol currently costs $2.00 / $10.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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