What are cached tokens and how do they save money?

Cached tokens are repeated input tokens (like system prompts or conversation history) that providers charge at a discounted rate. OpenAI offers varying discounts for cached tokens (typically 50-80%). Your calculation saves money by applying caching to 20% of input tokens for optimized cost savings.

When should I use Batch API vs real-time API?

Use Batch API for non-realtime processing of large volumes where latency isn't critical (saves up to 40-60%). Use real-time API for interactive applications like chatbots. Batch processing is ideal for data analysis, content generation in bulk, and offline processing.

What should I consider when comparing different AI models?

When comparing AI models, focus on factors such as performance, accuracy, response speed, cost, scalability, and how well the model fits your specific use case. The right choice depends on your workload, budget, and the type of tasks you want the AI to handle. Using an AI cost and time calculator can help you make an informed, data-driven decision.

GPT-6.1 Sol vs Claude Opus 5.5 for 200K-Token 10-K Analysis

Name: Claude Opus 5.5
Brand: Anthropic
Price: 0.17 USD
Availability: InStock
Rating: 4.5 (89 reviews)

GPT-6.1 Sol vs Claude Opus 5.5

Complete Comparison: 200,000 input tokens × 2,000 output tokens

⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API

Comparison Criteria	GPT-6.1 Sol OpenAI	Claude Opus 5.5 Anthropic
Calculation Results (Current Inputs) (20% cached)
Input Tokens	200,000	200,000
Output Tokens	2,000	2,000
Cost Breakdown
Input Cost	$0.200000	$0.200000
Output Cost	$0.010000	$0.010000
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.174000 (rounded ~ $0.17) Most Expensive	$0.172000 (rounded ~ $0.17) Best Value
Processing Time	25 minutes, 26.40 seconds Slowest	12 minutes, 16.04 seconds Fastest
Tokens per Second	135Slowest	280Fastest
Time to First Token	330ms Best	380ms Worst
Cost per 1K tokens	$0.000861Worst	$0.000851Best
Tokens per Dollar	1,160,920Worst Value	1,174,419Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$1.000000	$1.000000
Output Cost / 1M (Base)	$5.000000	$5.000000
Input Cost / 1M (Optimized)	$0.500000 Optimizations: 50.0% batch	$0.500000 Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$2.500000 Optimizations: 50.0% batch	$2.500000 Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support	✓ Supported	✓ Supported
Caching Support 20	✓ Supported	✓ Supported
Batch API Support	✓ Supported	✓ Supported
Tool Usage Support	✓ Supported	✓ Supported

Scroll horizontally to see all data

🔄 Compare Different AI Models

First Model

Provider

Model

Second Model

Provider

Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

GPT-6.1 Sol OpenAI 1050000

$0.174000 (rounded ~ $0.17)

Total Cost

⚡ 20% 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) $0.210000 Input: $0.200000
Output: $0.010000

Optimized Cost $0.174000 (rounded ~ $0.17) Input: $0.200000
Output: $0.010000
Unit: $0.000000
Fees: $0.000000

Total Savings $0.036000 (rounded ~ $0.04) 17.1% 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 2,000 output tokens:

Input Cost: $0.200000
Output Cost: $0.010000
Total Cost: $0.174000 (rounded ~ $0.17)
Cost per 1K tokens: $0.000861
Tokens per dollar: 1,160,920 tokens
Context Window: 1050000 tokens

Speed & Performance Analysis

With a processing speed of 135 tokens per second and 330ms time to first token:

Processing Time: 25 minutes, 26.40 seconds
Latency: 330 milliseconds to first token
Base Throughput: 135 tokens/second
Effective Throughput: 132 tokens/second (temperature-adjusted)

Best Use Cases

Use GPT-6.1 Sol for complex reasoning and cross-referencing financial data; use Claude Opus 5.5 for highly structuredschema-compliant extraction from regulatory documents.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-6.1 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 →

Claude Opus 5.5 Anthropic 1000000

$0.172000 (rounded ~ $0.17)

Total Cost

⚡ 20% 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) $0.210000 Input: $0.200000
Output: $0.010000

Optimized Cost $0.172000 (rounded ~ $0.17) Input: $0.200000
Output: $0.010000
Unit: $0.000000
Fees: $0.000000

Total Savings $0.038000 (rounded ~ $0.04) 18.1% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 200,000 input tokens and 2,000 output tokens:

Input Cost: $0.200000
Output Cost: $0.010000
Total Cost: $0.172000 (rounded ~ $0.17)
Cost per 1K tokens: $0.000851
Tokens per dollar: 1,174,419 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 280 tokens per second and 380ms time to first token:

Processing Time: 12 minutes, 16.04 seconds
Latency: 380 milliseconds to first token
Base Throughput: 280 tokens/second
Effective Throughput: 275 tokens/second (temperature-adjusted)

Best Use Cases

Use GPT-6.1 Sol for complex reasoning and cross-referencing financial data; use Claude Opus 5.5 for highly structuredschema-compliant extraction from regulatory documents.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 5.5. 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-6.1 Sol

📋 Active Input Parameters

Input Tokens: 200,000

Output Tokens: 2,000

Batch API: Enabled (50% discount)

Cached Tokens: 20%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs GPT-6.1 Sol	vs Claude Opus 5.5
🏆	GPT-6 Luna OpenAI	$0.008700 (rounded ~ $0.01) Best Value	↓ 95% cheaper	↓ 94.9% cheaper
🥈	GPT-5.6 Luna OpenAI	$0.008800 (rounded ~ $0.01)	↓ 94.9% cheaper	↓ 94.9% cheaper
🥉	Gemini 3.1 Flash Lite Google	$0.011000 (rounded ~ $0.01)	↓ 93.7% cheaper	↓ 93.6% cheaper
#4	Gemini 3.5 Flash-Lite Google	$0.013550 (rounded ~ $0.01)	↓ 92.2% cheaper	↓ 92.1% cheaper
#5	Gemini 2.5 Flash Google	$0.013550 (rounded ~ $0.01)	↓ 92.2% cheaper	↓ 92.1% cheaper
#6	Mistral Large 3 Mistral AI	$0.021250 (rounded ~ $0.02)	↓ 87.8% cheaper	↓ 87.6% cheaper
#7	Gemini 3.8 Flash Google	$0.032625 (rounded ~ $0.03)	↓ 81.3% cheaper	↓ 81% cheaper
#8	Gemini 3.6 Flash Google	$0.032625 (rounded ~ $0.03)	↓ 81.3% cheaper	↓ 81% cheaper
#9	GPT-5.4 mini OpenAI	$0.033000 (rounded ~ $0.03)	↓ 81% cheaper	↓ 80.8% cheaper
#10	Claude Haiku 5.5 Anthropic	$0.043500 (rounded ~ $0.04)	↓ 75% cheaper	↓ 74.7% cheaper
#11	Claude Haiku 4.5 Anthropic	$0.043500 (rounded ~ $0.04)	↓ 75% cheaper	↓ 74.7% cheaper
#12	Gemini 3.1 Flash Google	$0.044000 (rounded ~ $0.04)	↓ 74.7% cheaper	↓ 74.4% cheaper
#13	Mistral Large 4 Mistral AI	$0.057850 (rounded ~ $0.06)	↓ 66.8% cheaper	↓ 66.4% cheaper
#14	Claude Sonnet 5.5 Anthropic	$0.086000 (rounded ~ $0.09)	↓ 50.6% cheaper	↓ 50% cheaper
#15	Claude Sonnet 5 Anthropic	$0.087000 (rounded ~ $0.09)	↓ 50% cheaper	↓ 49.4% cheaper
#16	Gemini 4 Argon Google	$0.087000 (rounded ~ $0.09)	↓ 50% cheaper	↓ 49.4% cheaper
#17	GPT-5.6 Terra OpenAI	$0.088000 (rounded ~ $0.09)	↓ 49.4% cheaper	↓ 48.8% cheaper
#18	Gemini 2.5 Pro Google	$0.112500 (rounded ~ $0.11)	↓ 35.3% cheaper	↓ 34.6% cheaper
#19	Claude Sonnet 4.6 Anthropic	$0.130500	↓ 25% cheaper	↓ 24.1% cheaper
#20	Grok 4.3 xAI	$0.168000 (rounded ~ $0.17)	↓ 3.4% cheaper	↓ 2.3% cheaper
#21	Grok 4.20 Beta xAI	$0.168000 (rounded ~ $0.17)	↓ 3.4% cheaper	↓ 2.3% cheaper
#22	Claude Opus 5.5 Anthropic	$0.172000 (rounded ~ $0.17)	↓ 1.1% cheaper	Same price
#23	GPT-6 Sol OpenAI	$0.174000 (rounded ~ $0.17)	Same price	↑ 1.2% more
#24	GPT-5.6 Sol OpenAI	$0.174000 (rounded ~ $0.17)	Same price	↑ 1.2% more
#25	Gemini 3.1 Pro Google	$0.176000 (rounded ~ $0.18)	↑ 1.1% more	↑ 2.3% more
#26	Claude Opus 4.7 Anthropic	$0.217500 (rounded ~ $0.22)	↑ 25% more	↑ 26.5% more
#27	Claude Opus 5 Anthropic	$0.217500 (rounded ~ $0.22)	↑ 25% more	↑ 26.5% more
#28	Claude Opus 4.8 Anthropic	$0.217500 (rounded ~ $0.22)	↑ 25% more	↑ 26.5% more
#29	Claude Opus 4.6 Anthropic	$0.217500 (rounded ~ $0.22)	↑ 25% more	↑ 26.5% more
#30	GPT-5.4 OpenAI	$0.220000	↑ 26.4% more	↑ 27.9% more
#31	GPT-5.4 Thinking OpenAI	$0.220000	↑ 26.4% more	↑ 27.9% more
#32	GPT-5.5 Instant OpenAI	$0.220000	↑ 26.4% more	↑ 27.9% more
#33	Claude Fable 5.1 Anthropic	$0.427500 (rounded ~ $0.43)	↑ 145.7% more	↑ 148.5% more
#34	Claude Mythos 5.1 Anthropic	$0.427500 (rounded ~ $0.43)	↑ 145.7% more	↑ 148.5% more
#35	Claude Fable 5 Anthropic	$0.435000 (rounded ~ $0.44)	↑ 150% more	↑ 152.9% more
#36	Claude Mythos 5 Anthropic	$0.435000 (rounded ~ $0.44)	↑ 150% more	↑ 152.9% more
#37	GPT-5.5 OpenAI	$0.440000	↑ 152.9% more	↑ 155.8% more
#38	GPT-6 Astra OpenAI	$0.870000	↑ 400% more	↑ 405.8% more
#39	GPT-6 Astra OpenAI	$0.870000	↑ 400% more	↑ 405.8% more

🏆

GPT-6 Luna
OpenAI

$0.008700 (rounded ~ $0.01)

vs GPT-6.1 Sol: ↓ 95%

vs Claude Opus 5.5: ↓ 94.9%

🥈

GPT-5.6 Luna
OpenAI

$0.008800 (rounded ~ $0.01)

vs GPT-6.1 Sol: ↓ 94.9%

vs Claude Opus 5.5: ↓ 94.9%

🥉

Gemini 3.1 Flash Lite
Google

$0.011000 (rounded ~ $0.01)

vs GPT-6.1 Sol: ↓ 93.7%

vs Claude Opus 5.5: ↓ 93.6%

Gemini 3.5 Flash-Lite
Google

$0.013550 (rounded ~ $0.01)

vs GPT-6.1 Sol: ↓ 92.2%

vs Claude Opus 5.5: ↓ 92.1%

Gemini 2.5 Flash
Google

$0.013550 (rounded ~ $0.01)

vs GPT-6.1 Sol: ↓ 92.2%

vs Claude Opus 5.5: ↓ 92.1%

Mistral Large 3
Mistral AI

$0.021250 (rounded ~ $0.02)

vs GPT-6.1 Sol: ↓ 87.8%

vs Claude Opus 5.5: ↓ 87.6%

Gemini 3.8 Flash
Google

$0.032625 (rounded ~ $0.03)

vs GPT-6.1 Sol: ↓ 81.3%

vs Claude Opus 5.5: ↓ 81%

Gemini 3.6 Flash
Google

$0.032625 (rounded ~ $0.03)

vs GPT-6.1 Sol: ↓ 81.3%

vs Claude Opus 5.5: ↓ 81%

GPT-5.4 mini
OpenAI

$0.033000 (rounded ~ $0.03)

vs GPT-6.1 Sol: ↓ 81%

vs Claude Opus 5.5: ↓ 80.8%

#10

Claude Haiku 5.5
Anthropic

$0.043500 (rounded ~ $0.04)

vs GPT-6.1 Sol: ↓ 75%

vs Claude Opus 5.5: ↓ 74.7%

#11

Claude Haiku 4.5
Anthropic

$0.043500 (rounded ~ $0.04)

vs GPT-6.1 Sol: ↓ 75%

vs Claude Opus 5.5: ↓ 74.7%

#12

Gemini 3.1 Flash
Google

$0.044000 (rounded ~ $0.04)

vs GPT-6.1 Sol: ↓ 74.7%

vs Claude Opus 5.5: ↓ 74.4%

#13

Mistral Large 4
Mistral AI

$0.057850 (rounded ~ $0.06)

vs GPT-6.1 Sol: ↓ 66.8%

vs Claude Opus 5.5: ↓ 66.4%

#14

Claude Sonnet 5.5
Anthropic

$0.086000 (rounded ~ $0.09)

vs GPT-6.1 Sol: ↓ 50.6%

vs Claude Opus 5.5: ↓ 50%

#15

Claude Sonnet 5
Anthropic

$0.087000 (rounded ~ $0.09)

vs GPT-6.1 Sol: ↓ 50%

vs Claude Opus 5.5: ↓ 49.4%

#16

Gemini 4 Argon
Google

$0.087000 (rounded ~ $0.09)

vs GPT-6.1 Sol: ↓ 50%

vs Claude Opus 5.5: ↓ 49.4%

#17

GPT-5.6 Terra
OpenAI

$0.088000 (rounded ~ $0.09)

vs GPT-6.1 Sol: ↓ 49.4%

vs Claude Opus 5.5: ↓ 48.8%

#18

Gemini 2.5 Pro
Google

$0.112500 (rounded ~ $0.11)

vs GPT-6.1 Sol: ↓ 35.3%

vs Claude Opus 5.5: ↓ 34.6%

#19

Claude Sonnet 4.6
Anthropic

$0.130500

vs GPT-6.1 Sol: ↓ 25%

vs Claude Opus 5.5: ↓ 24.1%

#20

Grok 4.3
xAI

$0.168000 (rounded ~ $0.17)

vs GPT-6.1 Sol: ↓ 3.4%

vs Claude Opus 5.5: ↓ 2.3%

#21

Grok 4.20 Beta
xAI

$0.168000 (rounded ~ $0.17)

vs GPT-6.1 Sol: ↓ 3.4%

vs Claude Opus 5.5: ↓ 2.3%

#22

Claude Opus 5.5
Anthropic

$0.172000 (rounded ~ $0.17)

vs GPT-6.1 Sol: ↓ 1.1%

vs Claude Opus 5.5: Same

#23

GPT-6 Sol
OpenAI

$0.174000 (rounded ~ $0.17)

vs GPT-6.1 Sol: Same

vs Claude Opus 5.5: ↑ 1.2%

#24

GPT-5.6 Sol
OpenAI

$0.174000 (rounded ~ $0.17)

vs GPT-6.1 Sol: Same

vs Claude Opus 5.5: ↑ 1.2%

#25

Gemini 3.1 Pro
Google

$0.176000 (rounded ~ $0.18)

vs GPT-6.1 Sol: ↑ 1.1%

vs Claude Opus 5.5: ↑ 2.3%

#26

Claude Opus 4.7
Anthropic

$0.217500 (rounded ~ $0.22)

vs GPT-6.1 Sol: ↑ 25%

vs Claude Opus 5.5: ↑ 26.5%

#27

Claude Opus 5
Anthropic

$0.217500 (rounded ~ $0.22)

vs GPT-6.1 Sol: ↑ 25%

vs Claude Opus 5.5: ↑ 26.5%

#28

Claude Opus 4.8
Anthropic

$0.217500 (rounded ~ $0.22)

vs GPT-6.1 Sol: ↑ 25%

vs Claude Opus 5.5: ↑ 26.5%

#29

Claude Opus 4.6
Anthropic

$0.217500 (rounded ~ $0.22)

vs GPT-6.1 Sol: ↑ 25%

vs Claude Opus 5.5: ↑ 26.5%

#30

GPT-5.4
OpenAI

$0.220000

vs GPT-6.1 Sol: ↑ 26.4%

vs Claude Opus 5.5: ↑ 27.9%

#31

GPT-5.4 Thinking
OpenAI

$0.220000

vs GPT-6.1 Sol: ↑ 26.4%

vs Claude Opus 5.5: ↑ 27.9%

#32

GPT-5.5 Instant
OpenAI

$0.220000

vs GPT-6.1 Sol: ↑ 26.4%

vs Claude Opus 5.5: ↑ 27.9%

#33

Claude Fable 5.1
Anthropic

$0.427500 (rounded ~ $0.43)

vs GPT-6.1 Sol: ↑ 145.7%

vs Claude Opus 5.5: ↑ 148.5%

#34

Claude Mythos 5.1
Anthropic

$0.427500 (rounded ~ $0.43)

vs GPT-6.1 Sol: ↑ 145.7%

vs Claude Opus 5.5: ↑ 148.5%

#35

Claude Fable 5
Anthropic

$0.435000 (rounded ~ $0.44)

vs GPT-6.1 Sol: ↑ 150%

vs Claude Opus 5.5: ↑ 152.9%

#36

Claude Mythos 5
Anthropic

$0.435000 (rounded ~ $0.44)

vs GPT-6.1 Sol: ↑ 150%

vs Claude Opus 5.5: ↑ 152.9%

#37

GPT-5.5
OpenAI

$0.440000

vs GPT-6.1 Sol: ↑ 152.9%

vs Claude Opus 5.5: ↑ 155.8%

#38

GPT-6 Astra
OpenAI

$0.870000

vs GPT-6.1 Sol: ↑ 400%

vs Claude Opus 5.5: ↑ 405.8%

#39

GPT-6 Astra
OpenAI

$0.870000

vs GPT-6.1 Sol: ↑ 400%

vs Claude Opus 5.5: ↑ 405.8%

✨ 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.

Parsing 10-K filings at an enterprise scale of 1 billion tokens monthly requires models that can maintain high accuracy over long, complex documents while enforcing consistent schema outputs. Financial earnings analysis demands a deep understanding of nuanced financial statements, risk factors, and management commentary.

GPT-6.1 Sol excels in scenarios requiring advanced reasoning and complex function calling, making it a strong candidate for multi-step agentic pipelines where the model must navigate through various financial tables and cross-reference data points autonomously. Its reasoning capabilities are particularly effective at identifying subtle discrepancies in reported figures across multi-year comparisons.

Claude Opus 5.5, conversely, is renowned for its sophisticated thinking process, which often leads to more structured and reliable outputs when dealing with extremely dense or ambiguous prose typical of regulatory filings. For teams managing massive document throughput, the ability of these models to handle large context windows without losing track of the document structure is paramount.

When evaluating these options for your 10-K processing pipeline, consider the specific nature of your downstream tasks. If your workflow involves complex data extraction that requires significant logical deduction, GPT-6.1 Sol offers a robust reasoning engine. If your priority is highly structured, predictable JSON output that requires minimal post-processing, Claude Opus 5.5 often provides superior consistency. Both models are capable of processing the vast document volumes required for enterprise-grade financial intelligence, ensuring that your research pipelines remain efficient and accurate at scale.

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.

GPT-6.1 Sol vs Claude Opus 5.5 for 200K-Token 10-K Analysis

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

GPT-6.1 Sol

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

GPT-6.1 Sol OpenAI 1050000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

Claude Opus 5.5 Anthropic 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

GPT-6 Luna OpenAI

GPT-5.6 Luna OpenAI

Gemini 3.1 Flash Lite Google

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

Mistral Large 3 Mistral AI

Gemini 3.8 Flash Google

Gemini 3.6 Flash Google

GPT-5.4 mini OpenAI

Claude Haiku 5.5 Anthropic

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

Mistral Large 4 Mistral AI

Claude Sonnet 5.5 Anthropic

Claude Sonnet 5 Anthropic

Gemini 4 Argon Google

GPT-5.6 Terra OpenAI

Gemini 2.5 Pro Google

Claude Sonnet 4.6 Anthropic

Grok 4.3 xAI

Grok 4.20 Beta xAI

Claude Opus 5.5 Anthropic

GPT-6 Sol OpenAI

GPT-5.6 Sol OpenAI

Gemini 3.1 Pro Google

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

GPT-5.5 Instant OpenAI

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

GPT-6 Astra OpenAI

GPT-6 Astra OpenAI

Frequently Asked Questions

Related model pricing

Compare across providers

Other models from the same provider

GPT-6 Luna
OpenAI

GPT-5.6 Luna
OpenAI

Gemini 3.1 Flash Lite
Google

Gemini 3.5 Flash-Lite
Google

Gemini 2.5 Flash
Google

Mistral Large 3
Mistral AI

Gemini 3.8 Flash
Google

Gemini 3.6 Flash
Google

GPT-5.4 mini
OpenAI

Claude Haiku 5.5
Anthropic

Claude Haiku 4.5
Anthropic

Gemini 3.1 Flash
Google

Mistral Large 4
Mistral AI

Claude Sonnet 5.5
Anthropic

Claude Sonnet 5
Anthropic

Gemini 4 Argon
Google

GPT-5.6 Terra
OpenAI

Gemini 2.5 Pro
Google

Claude Sonnet 4.6
Anthropic

Grok 4.3
xAI

Grok 4.20 Beta
xAI

Claude Opus 5.5
Anthropic

GPT-6 Sol
OpenAI

GPT-5.6 Sol
OpenAI

Gemini 3.1 Pro
Google

Claude Opus 4.7
Anthropic

Claude Opus 5
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

GPT-5.5 Instant
OpenAI

Claude Fable 5.1
Anthropic

Claude Mythos 5.1
Anthropic

Claude Fable 5
Anthropic

Claude Mythos 5
Anthropic

GPT-5.5
OpenAI

GPT-6 Astra
OpenAI

GPT-6 Astra
OpenAI