GPT-6 Sol Pricing: 200K-Token Cost for Engineering Code Analysis

Complete Analysis: 201,000 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
$0.115000 (rounded ~ $0.12) Total Cost
201,000 Total Tokens
26 minutes, 5.22 seconds Processing Time
128 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

$0.115000 Total Cost
$0.100000 Input Cost
$0.005000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
201,000Total Tokens
$0.000572Cost per 1K
1,747,826Tokens per $
🔄 Cliff Pricing Active: Using Standard pricing (standard) based on token volume.

📊 Advanced Cost Breakdown

Processing Speed

26m 5s Processing Time
131 Tokens/Second
340ms Time to First Token
128 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

$0.115000 (rounded ~ $0.12)
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) $0.205000 (rounded ~ $0.21) Input: $0.200000
Output: $0.005000 (rounded ~ $0.01)
Optimized Cost $0.115000 (rounded ~ $0.12) Input: $0.200000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.090000 43.9% 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 200,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.200000
  • Output Cost: $0.005000 (rounded ~ $0.01)
  • Total Cost: $0.115000 (rounded ~ $0.12)
  • Cost per 1K tokens: $0.000572
  • Tokens per dollar: 1,747,826 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: 26 minutes, 5.22 seconds
  • Latency: 340 milliseconds to first token
  • Base Throughput: 131 tokens/second
  • Effective Throughput: 128 tokens/second (temperature-adjusted)

Best Use Cases

Deep architectural code reviewcomplex refactoring tasksand high-precision security analysis where reasoning depth is required.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-6 Sol. 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 Sol
📋 Active Input Parameters
Input Tokens: 200,000
Output Tokens: 1,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-6 Sol
🏆 GPT-6 Luna
OpenAI
 $0.005750 (rounded ~ $0.01) Best Value ↓ 95% cheaper
🥈 GPT-5.6 Luna
OpenAI
 $0.005800 (rounded ~ $0.01) ↓ 95% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.007250 (rounded ~ $0.01) ↓ 93.7% cheaper
#4 Gemini 3.5 Flash-Lite
Google
 $0.008875 (rounded ~ $0.01) ↓ 92.3% cheaper
#5 Gemini 2.5 Flash
Google
 $0.008875 (rounded ~ $0.01) ↓ 92.3% cheaper
#6 Mistral Large 3
Mistral AI
 $0.014125 (rounded ~ $0.01) ↓ 87.7% cheaper
#7 Gemini 3.8 Flash
Google
 $0.021563 (rounded ~ $0.02) ↓ 81.3% cheaper
#8 Gemini 3.6 Flash
Google
 $0.021563 (rounded ~ $0.02) ↓ 81.3% cheaper
#9 GPT-5.4 mini
OpenAI
 $0.021750 (rounded ~ $0.02) ↓ 81.1% cheaper
#10 Claude Haiku 5.5
Anthropic
 $0.028750 (rounded ~ $0.03) ↓ 75% cheaper
#11 Claude Haiku 4.5
Anthropic
 $0.028750 (rounded ~ $0.03) ↓ 75% cheaper
#12 Gemini 3.1 Flash
Google
 $0.029000 ↓ 74.8% cheaper
#13 Mistral Large 4
Mistral AI
 $0.038445 (rounded ~ $0.04) ↓ 66.6% cheaper
#14 Claude Sonnet 5.5
Anthropic
 $0.055000 (rounded ~ $0.06) ↓ 52.2% cheaper
#15 Gemini 4 Argon
Google
 $0.057500 (rounded ~ $0.06) ↓ 50% cheaper
#16 Claude Sonnet 5
Anthropic
 $0.057500 (rounded ~ $0.06) ↓ 50% cheaper
#17 GPT-5.6 Terra
OpenAI
 $0.058000 (rounded ~ $0.06) ↓ 49.6% cheaper
#18 Gemini 2.5 Pro
Google
 $0.073750 (rounded ~ $0.07) ↓ 35.9% cheaper
#19 Claude Sonnet 4.6
Anthropic
 $0.086250 (rounded ~ $0.09) ↓ 25% cheaper
#20 Claude Opus 5.5
Anthropic
 $0.110000 ↓ 4.3% cheaper
#21 Grok 4.3
xAI
 $0.112000 (rounded ~ $0.11) ↓ 2.6% cheaper
#22 Grok 4.20 Beta
xAI
 $0.112000 (rounded ~ $0.11) ↓ 2.6% cheaper
#23 GPT-6.1 Sol
OpenAI
 $0.115000 (rounded ~ $0.12) Same price
#24 GPT-5.6 Sol
OpenAI
 $0.115000 (rounded ~ $0.12) Same price
#25 Gemini 3.1 Pro
Google
 $0.116000 (rounded ~ $0.12) ↑ 0.9% more
#26 Claude Opus 4.7
Anthropic
 $0.143750 (rounded ~ $0.14) ↑ 25% more
#27 Claude Opus 5
Anthropic
 $0.143750 (rounded ~ $0.14) ↑ 25% more
#28 Claude Opus 4.8
Anthropic
 $0.143750 (rounded ~ $0.14) ↑ 25% more
#29 Claude Opus 4.6
Anthropic
 $0.143750 (rounded ~ $0.14) ↑ 25% more
#30 GPT-5.4
OpenAI
 $0.145000 (rounded ~ $0.15) ↑ 26.1% more
#31 GPT-5.4 Thinking
OpenAI
 $0.145000 (rounded ~ $0.15) ↑ 26.1% more
#32 GPT-5.5 Instant
OpenAI
 $0.145000 (rounded ~ $0.15) ↑ 26.1% more
#33 Claude Fable 5.1
Anthropic
 $0.268750 (rounded ~ $0.27) ↑ 133.7% more
#34 Claude Mythos 5.1
Anthropic
 $0.268750 (rounded ~ $0.27) ↑ 133.7% more
#35 Claude Fable 5
Anthropic
 $0.287500 (rounded ~ $0.29) ↑ 150% more
#36 Claude Mythos 5
Anthropic
 $0.287500 (rounded ~ $0.29) ↑ 150% more
#37 GPT-5.5
OpenAI
 $0.290000 ↑ 152.2% more
#38 GPT-6 Astra
OpenAI
 $0.575000 (rounded ~ $0.58) ↑ 400% more
#39 GPT-6 Astra
OpenAI
 $0.575000 (rounded ~ $0.58) ↑ 400% more
🏆

GPT-6 Luna
OpenAI

$0.005750 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 95%
🥈

GPT-5.6 Luna
OpenAI

$0.005800 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 95%
🥉

Gemini 3.1 Flash Lite
Google

$0.007250 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 93.7%
#4

Gemini 3.5 Flash-Lite
Google

$0.008875 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 92.3%
#5

Gemini 2.5 Flash
Google

$0.008875 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 92.3%
#6

Mistral Large 3
Mistral AI

$0.014125 (rounded ~ $0.01)
vs GPT-6 Sol: ↓ 87.7%
#7

Gemini 3.8 Flash
Google

$0.021563 (rounded ~ $0.02)
vs GPT-6 Sol: ↓ 81.3%
#8

Gemini 3.6 Flash
Google

$0.021563 (rounded ~ $0.02)
vs GPT-6 Sol: ↓ 81.3%
#9

GPT-5.4 mini
OpenAI

$0.021750 (rounded ~ $0.02)
vs GPT-6 Sol: ↓ 81.1%
#10

Claude Haiku 5.5
Anthropic

$0.028750 (rounded ~ $0.03)
vs GPT-6 Sol: ↓ 75%
#11

Claude Haiku 4.5
Anthropic

$0.028750 (rounded ~ $0.03)
vs GPT-6 Sol: ↓ 75%
#12

Gemini 3.1 Flash
Google

$0.029000
vs GPT-6 Sol: ↓ 74.8%
#13

Mistral Large 4
Mistral AI

$0.038445 (rounded ~ $0.04)
vs GPT-6 Sol: ↓ 66.6%
#14

Claude Sonnet 5.5
Anthropic

$0.055000 (rounded ~ $0.06)
vs GPT-6 Sol: ↓ 52.2%
#15

Gemini 4 Argon
Google

$0.057500 (rounded ~ $0.06)
vs GPT-6 Sol: ↓ 50%
#16

Claude Sonnet 5
Anthropic

$0.057500 (rounded ~ $0.06)
vs GPT-6 Sol: ↓ 50%
#17

GPT-5.6 Terra
OpenAI

$0.058000 (rounded ~ $0.06)
vs GPT-6 Sol: ↓ 49.6%
#18

Gemini 2.5 Pro
Google

$0.073750 (rounded ~ $0.07)
vs GPT-6 Sol: ↓ 35.9%
#19

Claude Sonnet 4.6
Anthropic

$0.086250 (rounded ~ $0.09)
vs GPT-6 Sol: ↓ 25%
#20

Claude Opus 5.5
Anthropic

$0.110000
vs GPT-6 Sol: ↓ 4.3%
#21

Grok 4.3
xAI

$0.112000 (rounded ~ $0.11)
vs GPT-6 Sol: ↓ 2.6%
#22

Grok 4.20 Beta
xAI

$0.112000 (rounded ~ $0.11)
vs GPT-6 Sol: ↓ 2.6%
#23

GPT-6.1 Sol
OpenAI

$0.115000 (rounded ~ $0.12)
vs GPT-6 Sol: Same
#24

GPT-5.6 Sol
OpenAI

$0.115000 (rounded ~ $0.12)
vs GPT-6 Sol: Same
#25

Gemini 3.1 Pro
Google

$0.116000 (rounded ~ $0.12)
vs GPT-6 Sol: ↑ 0.9%
#26

Claude Opus 4.7
Anthropic

$0.143750 (rounded ~ $0.14)
vs GPT-6 Sol: ↑ 25%
#27

Claude Opus 5
Anthropic

$0.143750 (rounded ~ $0.14)
vs GPT-6 Sol: ↑ 25%
#28

Claude Opus 4.8
Anthropic

$0.143750 (rounded ~ $0.14)
vs GPT-6 Sol: ↑ 25%
#29

Claude Opus 4.6
Anthropic

$0.143750 (rounded ~ $0.14)
vs GPT-6 Sol: ↑ 25%
#30

GPT-5.4
OpenAI

$0.145000 (rounded ~ $0.15)
vs GPT-6 Sol: ↑ 26.1%
#31

GPT-5.4 Thinking
OpenAI

$0.145000 (rounded ~ $0.15)
vs GPT-6 Sol: ↑ 26.1%
#32

GPT-5.5 Instant
OpenAI

$0.145000 (rounded ~ $0.15)
vs GPT-6 Sol: ↑ 26.1%
#33

Claude Fable 5.1
Anthropic

$0.268750 (rounded ~ $0.27)
vs GPT-6 Sol: ↑ 133.7%
#34

Claude Mythos 5.1
Anthropic

$0.268750 (rounded ~ $0.27)
vs GPT-6 Sol: ↑ 133.7%
#35

Claude Fable 5
Anthropic

$0.287500 (rounded ~ $0.29)
vs GPT-6 Sol: ↑ 150%
#36

Claude Mythos 5
Anthropic

$0.287500 (rounded ~ $0.29)
vs GPT-6 Sol: ↑ 150%
#37

GPT-5.5
OpenAI

$0.290000
vs GPT-6 Sol: ↑ 152.2%
#38

GPT-6 Astra
OpenAI

$0.575000 (rounded ~ $0.58)
vs GPT-6 Sol: ↑ 400%
#39

GPT-6 Astra
OpenAI

$0.575000 (rounded ~ $0.58)
vs GPT-6 Sol: ↑ 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.

As modern software engineering teams manage increasingly complex, sprawling codebases, the ability to perform deep, contextual analysis on every pull request is critical. GPT-6 Sol offers a balanced approach for these engineering-heavy workloads, providing sophisticated reasoning that is particularly adept at handling multi-step logic and identifying subtle bugs that simpler models might overlook. For teams that integrate AI into their CI/CD pipelines, this model’s ability to maintain high accuracy during complex refactoring or architectural reviews makes it a standout choice.

Unlike faster, lighter models, GPT-6 Sol is designed for tasks where precision is paramount, such as ensuring that new features comply with existing security protocols and internal coding standards. It excels at reasoning through dependencies across different modules, which is essential for large-scale enterprise applications. While it may require more computational overhead than lightweight alternatives, the trade-off is often fewer false positives in automated code reviews. For customer support leads and engineering managers looking to automate the escalation of code-related issues, this model provides the necessary depth to draft comprehensive, actionable feedback for developers. Integrating it into your review process allows for more nuanced automated triaging, ultimately reducing the burden on senior engineers and accelerating the deployment lifecycle for high-quality software.

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.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →