How are image tokens calculated for AI models?

Images are tokenized based on resolution: Low (512px): 85 tokens, Medium (768px): 170 tokens, High (1024px): 255 tokens, Full (2048px): 765 tokens per image. For GPT 5.5 Pro: 50 images at medium resolution = 8,500 tokens.

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 50% 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-5.5 Pro vs Claude Opus 4.7: Agentic Browser Reliability at 100K-Token Scale

Name: Claude Opus 4.7
Brand: Anthropic
Price: 0.10 USD
Availability: InStock
Rating: 4.5 (89 reviews)

GPT-5.5 Pro vs Claude Opus 4.7

Complete Comparison: 100,000 input tokens × 2,000 output tokens

🖼️ 50 Images ⚡ 50% Cached

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

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

Comparison Criteria	GPT-5.5 Pro OpenAI	Claude Opus 4.7 Anthropic
Calculation Results (Current Inputs) (50 images, 50% cached)
Input Tokens	100,000	100,000
Output Tokens	2,000	2,000
Cost Breakdown
Input Cost	$0.943500 (rounded ~ $0.94)Worst	$0.157250 (rounded ~ $0.16)Best
Output Cost	$0.090000Worst	$0.012500 (rounded ~ $0.01)Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$1.033500 (rounded ~ $1.03) Most Expensive	$0.098988 (rounded ~ $0.10) Best Value
Processing Time	6 minutes, 34.86 seconds Fastest	8 minutes, 36.30 seconds Slowest
Tokens per Second	340Fastest	260Slowest
Time to First Token	260ms Best	400ms Worst
Cost per 1K tokens	$0.008087 (rounded ~ $0.01)Worst	$0.000775Best
Tokens per Dollar	123,657Worst Value	1,291,072Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$7.500000Worst	$1.250000Best
Output Cost / 1M (Base)	$45.000000Worst	$6.250000Best
Input Cost / 1M (Optimized)	$3.750000Worst Optimizations: 50.0% batch	$0.625000 (rounded ~ $0.63)Best Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$22.500000Worst Optimizations: 50.0% batch	$3.125000 (rounded ~ $3.13)Best Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support 50	✓ Supported	✓ Supported
Caching Support 50	✗ Not Supported requested	✓ 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-5.5 Pro OpenAI 1000000

$1.033500 (rounded ~ $1.03)

Total Cost

🖼️ 50 Image (Medium) ⚡ 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

✗ Not Available

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $1.033500 (rounded ~ $1.03) Input: $0.943500 (rounded ~ $0.94)
Output: $0.090000

Optimized Cost $1.033500 (rounded ~ $1.03) Input: $0.943500 (rounded ~ $0.94)
Output: $0.090000
Unit: $0.000000
Fees: $0.000000

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input

$0.000000

25,800 tokens

📊 Batch API

50.0% off

Asynchronous processing discount

Multimodal Input Details

🖼️ Images

Count: 50
Resolution: Medium
Tokens: 25,800
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

Input Cost: $0.943500 (rounded ~ $0.94)
Output Cost: $0.090000
Total Cost: $1.033500 (rounded ~ $1.03)
Cost per 1K tokens: $0.008087 (rounded ~ $0.01)
Tokens per dollar: 123,657 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 340 tokens per second and 260ms time to first token:

Processing Time: 6 minutes, 34.86 seconds
Latency: 260 milliseconds to first token
Base Throughput: 340 tokens/second
Effective Throughput: 324 tokens/second (temperature-adjusted)

Best Use Cases

Best for complex autonomous agent loops requiring high reliability in unpredictable web environments.

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.5 Pro. 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 4.7 Anthropic 1000000

$0.098988 (rounded ~ $0.10)

Total Cost

🖼️ 50 Image (Medium) ⚡ 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) $0.169750 Input: $0.157250 (rounded ~ $0.16)
Output: $0.012500 (rounded ~ $0.01)

Optimized Cost $0.098988 (rounded ~ $0.10) Input: $0.157250 (rounded ~ $0.16)
Output: $0.012500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.070763 41.7% discount

Advanced Cost Breakdown (from Plugin)

🖼️ Multimodal Input

$0.000000

25,800 tokens

📊 Batch API

50.0% off

Asynchronous processing discount

Multimodal Input Details

🖼️ Images

Count: 50
Resolution: Medium
Tokens: 25,800
Cost: $0.000000

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

Input Cost: $0.157250 (rounded ~ $0.16)
Output Cost: $0.012500 (rounded ~ $0.01)
Total Cost: $0.098988 (rounded ~ $0.10)
Cost per 1K tokens: $0.000775
Tokens per dollar: 1,291,072 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 260 tokens per second and 400ms time to first token:

Processing Time: 8 minutes, 36.30 seconds
Latency: 400 milliseconds to first token
Base Throughput: 260 tokens/second
Effective Throughput: 248 tokens/second (temperature-adjusted)

Best Use Cases

Best for complex autonomous agent loops requiring high reliability in unpredictable web environments.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Opus 4.7. 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-5.5 Pro

📋 Active Input Parameters

Input Tokens: 100,000

Output Tokens: 2,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Images: 50 (Medium Resolution)

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs GPT-5.5 Pro	vs Claude Opus 4.7
🏆	Mistral Small 3 Mistral AI	$0.001880 Best Value	↓ 99.8% cheaper	↓ 98.1% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.005074 (rounded ~ $0.01)	↓ 99.5% cheaper	↓ 94.9% cheaper
🥉	Gemini 2.5 Flash Google	$0.006439 (rounded ~ $0.01)	↓ 99.4% cheaper	↓ 93.5% cheaper
#4	Mistral Large 3 Mistral AI	$0.009649	↓ 99.1% cheaper	↓ 90.3% cheaper
#5	GPT-5.4 mini OpenAI	$0.015223 (rounded ~ $0.02)	↓ 98.5% cheaper	↓ 84.6% cheaper
#6	o4-mini Deep Research OpenAI	$0.019298	↓ 98.1% cheaper	↓ 80.5% cheaper
#7	Claude Haiku 4.5 Anthropic	$0.019798	↓ 98.1% cheaper	↓ 80% cheaper
#8	Gemini 3.1 Flash Google	$0.020298	↓ 98% cheaper	↓ 79.5% cheaper
#9	o4-mini OpenAI	$0.021227 (rounded ~ $0.02)	↓ 97.9% cheaper	↓ 78.6% cheaper
#10	Grok 4.3 xAI	$0.022872 (rounded ~ $0.02)	↓ 97.8% cheaper	↓ 76.9% cheaper
#11	Gemini 3.5 Flash Google	$0.030446	↓ 97.1% cheaper	↓ 69.2% cheaper
#12	GPT-5.3 Codex Spark OpenAI	$0.037271 (rounded ~ $0.04)	↓ 96.4% cheaper	↓ 62.3% cheaper
#13	GPT-5.3 Instant OpenAI	$0.037271 (rounded ~ $0.04)	↓ 96.4% cheaper	↓ 62.3% cheaper
#14	Gemini 2.5 Pro Google	$0.053244 (rounded ~ $0.05)	↓ 94.8% cheaper	↓ 46.2% cheaper
#15	Claude Sonnet 4.6 Anthropic	$0.059393	↓ 94.3% cheaper	↓ 40% cheaper
#16	Gemini 3.1 Pro Google	$0.081190 (rounded ~ $0.08)	↓ 92.1% cheaper	↓ 18% cheaper
#17	Claude Opus 4.7 Anthropic	$0.098988 (rounded ~ $0.10)	↓ 90.4% cheaper	Same price
#18	Claude Opus 4.8 Anthropic	$0.098988 (rounded ~ $0.10)	↓ 90.4% cheaper	Same price
#19	Claude Opus 4.6 Anthropic	$0.098988 (rounded ~ $0.10)	↓ 90.4% cheaper	Same price
#20	GPT-5.4 OpenAI	$0.101488 (rounded ~ $0.10)	↓ 90.2% cheaper	↑ 2.5% more
#21	GPT-5.4 Thinking OpenAI	$0.101488 (rounded ~ $0.10)	↓ 90.2% cheaper	↑ 2.5% more
#22	GPT-5.5 Instant OpenAI	$0.101488 (rounded ~ $0.10)	↓ 90.2% cheaper	↑ 2.5% more
#23	o3 Deep Research OpenAI	$0.192975 (rounded ~ $0.19)	↓ 81.3% cheaper	↑ 94.9% more
#24	GPT-5.5 OpenAI	$0.202975 (rounded ~ $0.20)	↓ 80.4% cheaper	↑ 105.1% more
#25	o3 Pro OpenAI	$0.385950 (rounded ~ $0.39)	↓ 62.7% cheaper	↑ 289.9% more
#26	GPT-5.2 Pro OpenAI	$0.447248 (rounded ~ $0.45)	↓ 56.7% cheaper	↑ 351.8% more
#27	GPT-5.2 Pro OpenAI	$0.447248 (rounded ~ $0.45)	↓ 56.7% cheaper	↑ 351.8% more

🏆

Mistral Small 3
Mistral AI

$0.001880

vs GPT-5.5 Pro: ↓ 99.8%

vs Claude Opus 4.7: ↓ 98.1%

🥈

Gemini 3.1 Flash Lite
Google

$0.005074 (rounded ~ $0.01)

vs GPT-5.5 Pro: ↓ 99.5%

vs Claude Opus 4.7: ↓ 94.9%

🥉

Gemini 2.5 Flash
Google

$0.006439 (rounded ~ $0.01)

vs GPT-5.5 Pro: ↓ 99.4%

vs Claude Opus 4.7: ↓ 93.5%

Mistral Large 3
Mistral AI

$0.009649

vs GPT-5.5 Pro: ↓ 99.1%

vs Claude Opus 4.7: ↓ 90.3%

GPT-5.4 mini
OpenAI

$0.015223 (rounded ~ $0.02)

vs GPT-5.5 Pro: ↓ 98.5%

vs Claude Opus 4.7: ↓ 84.6%

o4-mini Deep Research
OpenAI

$0.019298

vs GPT-5.5 Pro: ↓ 98.1%

vs Claude Opus 4.7: ↓ 80.5%

Claude Haiku 4.5
Anthropic

$0.019798

vs GPT-5.5 Pro: ↓ 98.1%

vs Claude Opus 4.7: ↓ 80%

Gemini 3.1 Flash
Google

$0.020298

vs GPT-5.5 Pro: ↓ 98%

vs Claude Opus 4.7: ↓ 79.5%

o4-mini
OpenAI

$0.021227 (rounded ~ $0.02)

vs GPT-5.5 Pro: ↓ 97.9%

vs Claude Opus 4.7: ↓ 78.6%

#10

Grok 4.3
xAI

$0.022872 (rounded ~ $0.02)

vs GPT-5.5 Pro: ↓ 97.8%

vs Claude Opus 4.7: ↓ 76.9%

#11

Gemini 3.5 Flash
Google

$0.030446

vs GPT-5.5 Pro: ↓ 97.1%

vs Claude Opus 4.7: ↓ 69.2%

#12

GPT-5.3 Codex Spark
OpenAI

$0.037271 (rounded ~ $0.04)

vs GPT-5.5 Pro: ↓ 96.4%

vs Claude Opus 4.7: ↓ 62.3%

#13

GPT-5.3 Instant
OpenAI

$0.037271 (rounded ~ $0.04)

vs GPT-5.5 Pro: ↓ 96.4%

vs Claude Opus 4.7: ↓ 62.3%

#14

Gemini 2.5 Pro
Google

$0.053244 (rounded ~ $0.05)

vs GPT-5.5 Pro: ↓ 94.8%

vs Claude Opus 4.7: ↓ 46.2%

#15

Claude Sonnet 4.6
Anthropic

$0.059393

vs GPT-5.5 Pro: ↓ 94.3%

vs Claude Opus 4.7: ↓ 40%

#16

Gemini 3.1 Pro
Google

$0.081190 (rounded ~ $0.08)

vs GPT-5.5 Pro: ↓ 92.1%

vs Claude Opus 4.7: ↓ 18%

#17

Claude Opus 4.7
Anthropic

$0.098988 (rounded ~ $0.10)

vs GPT-5.5 Pro: ↓ 90.4%

vs Claude Opus 4.7: Same

#18

Claude Opus 4.8
Anthropic

$0.098988 (rounded ~ $0.10)

vs GPT-5.5 Pro: ↓ 90.4%

vs Claude Opus 4.7: Same

#19

Claude Opus 4.6
Anthropic

$0.098988 (rounded ~ $0.10)

vs GPT-5.5 Pro: ↓ 90.4%

vs Claude Opus 4.7: Same

#20

GPT-5.4
OpenAI

$0.101488 (rounded ~ $0.10)

vs GPT-5.5 Pro: ↓ 90.2%

vs Claude Opus 4.7: ↑ 2.5%

#21

GPT-5.4 Thinking
OpenAI

$0.101488 (rounded ~ $0.10)

vs GPT-5.5 Pro: ↓ 90.2%

vs Claude Opus 4.7: ↑ 2.5%

#22

GPT-5.5 Instant
OpenAI

$0.101488 (rounded ~ $0.10)

vs GPT-5.5 Pro: ↓ 90.2%

vs Claude Opus 4.7: ↑ 2.5%

#23

o3 Deep Research
OpenAI

$0.192975 (rounded ~ $0.19)

vs GPT-5.5 Pro: ↓ 81.3%

vs Claude Opus 4.7: ↑ 94.9%

#24

GPT-5.5
OpenAI

$0.202975 (rounded ~ $0.20)

vs GPT-5.5 Pro: ↓ 80.4%

vs Claude Opus 4.7: ↑ 105.1%

#25

o3 Pro
OpenAI

$0.385950 (rounded ~ $0.39)

vs GPT-5.5 Pro: ↓ 62.7%

vs Claude Opus 4.7: ↑ 289.9%

#26

GPT-5.2 Pro
OpenAI

$0.447248 (rounded ~ $0.45)

vs GPT-5.5 Pro: ↓ 56.7%

vs Claude Opus 4.7: ↑ 351.8%

#27

GPT-5.2 Pro
OpenAI

$0.447248 (rounded ~ $0.45)

vs GPT-5.5 Pro: ↓ 56.7%

vs Claude Opus 4.7: ↑ 351.8%

✨ 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.

Choosing Between Frontier Models for Agentic Workflows

For AAA game studios deploying autonomous browser agents—whether for automated QA, community moderation pipelines, or web-based content scraping—the choice of model dictates more than just cost. You are optimizing for task completion rates and multi-step reasoning reliability at the 100K-token scale per request. When your agents interact with complex, dynamic web UIs, the ability to maintain context while handling tool-call loops is the primary differentiator.

GPT-5.5 Pro offers a highly specialized agentic architecture, making it the preferred choice for complex tasks where the environment is unpredictable and requires deep, iterative planning. Its native agent capabilities often result in fewer hallucinated tool arguments when navigating non-standard DOM structures.

Claude Opus 4.7 remains a formidable competitor, particularly when your browser automation requires high-fidelity parsing of text-heavy web documentation or complex data extraction. Anthropic’s model consistently delivers superior structured outputs, which significantly reduces the need for secondary validation layers in your pipeline. For game studios already invested in Claude’s ecosystem for narrative design or documentation, the integration is often smoother, leveraging consistent instruction following.

When deciding between these two for your 100K-token agentic sessions, prioritize GPT-5.5 Pro if your primary challenge is environmental adaptability and complex logical branching. Choose Claude Opus 4.7 if your priority is high-density data extraction accuracy and integration reliability within existing tool-heavy codebases. Both represent the current frontier for high-stakes autonomous web tasks.

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 are image tokens calculated?

Images are tokenized based on resolution: Low: 85 tokens, Medium: 170 tokens, High: 255 tokens, Full: 765 tokens per image. Some models (like Llama 4 Maverick) use tile-based encoding with 1,610 tokens/image (standard) or 8,050 tokens/image (high-res).

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-5.5 Pro vs Claude Opus 4.7: Agentic Browser Reliability at 100K-Token Scale

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

GPT-5.5 Pro

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-5.5 Pro OpenAI 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

Claude Opus 4.7 Anthropic 1000000

💰 Total Cost Calculation (from Plugin)

Advanced Cost Breakdown (from Plugin)

Multimodal Input Details

Detailed Cost Analysis (from Plugin)

Speed & Performance Analysis

Best Use Cases

Want this applied to YOUR actual stack?

✨ Market Recommendations AI Model Registry

Mistral Small 3 Mistral AI

Gemini 3.1 Flash Lite Google

Gemini 2.5 Flash Google

Mistral Large 3 Mistral AI

GPT-5.4 mini OpenAI

o4-mini Deep Research OpenAI

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

o4-mini OpenAI

Grok 4.3 xAI

Gemini 3.5 Flash Google

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

Gemini 2.5 Pro Google

Claude Sonnet 4.6 Anthropic

Gemini 3.1 Pro Google

Claude Opus 4.7 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

o3 Deep Research OpenAI

GPT-5.5 OpenAI

o3 Pro OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Choosing Between Frontier Models for Agentic Workflows

Frequently Asked Questions

Mistral Small 3
Mistral AI

Gemini 3.1 Flash Lite
Google

Gemini 2.5 Flash
Google

Mistral Large 3
Mistral AI

GPT-5.4 mini
OpenAI

o4-mini Deep Research
OpenAI

Claude Haiku 4.5
Anthropic

Gemini 3.1 Flash
Google

o4-mini
OpenAI

Grok 4.3
xAI

Gemini 3.5 Flash
Google

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

Gemini 2.5 Pro
Google

Claude Sonnet 4.6
Anthropic

Gemini 3.1 Pro
Google

Claude Opus 4.7
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

o3 Deep Research
OpenAI

GPT-5.5
OpenAI

o3 Pro
OpenAI

GPT-5.2 Pro
OpenAI

GPT-5.2 Pro
OpenAI