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. Anthropic 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.

Claude Opus 5.5 vs GPT-6 Sol for 500K-Token Document Summarization

Name: GPT-6 Sol
Brand: OpenAI
Price: 0.56 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Claude Opus 5.5 vs GPT-6 Sol

Complete Comparison: 500,000 input tokens × 1,000 output tokens

⚡ 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	Claude Opus 5.5 Anthropic	GPT-6 Sol OpenAI
Calculation Results (Current Inputs) (50% cached)
Input Tokens	500,000	500,000
Output Tokens	1,000	1,000
Cost Breakdown
Input Cost	$0.500000Best	$1.000000Worst
Output Cost	$0.005000 (rounded ~ $0.01)Best	$0.007500 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.267500 (rounded ~ $0.27) Best Value	$0.557500 (rounded ~ $0.56) Most Expensive
Processing Time	31 minutes, 54.72 seconds Fastest	1 hour, 8 minutes, 12.32 seconds Slowest
Tokens per Second	280Fastest	131Slowest
Time to First Token	380ms Worst	340ms Best
Cost per 1K tokens	$0.000534Best	$0.001113Worst
Tokens per Dollar	1,872,897Best Value	898,655Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$1.000000Best	$2.000000Worst
Output Cost / 1M (Base)	$5.000000Best	$7.500000Worst
Input Cost / 1M (Optimized)	$0.500000Best Optimizations: 50.0% batch	$1.000000Worst Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$2.500000Best Optimizations: 50.0% batch	$3.750000Worst 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

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.

Claude Opus 5.5 Anthropic 1000000

$0.267500 (rounded ~ $0.27)

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) $0.505000 (rounded ~ $0.51) Input: $0.500000
Output: $0.005000 (rounded ~ $0.01)

Optimized Cost $0.267500 (rounded ~ $0.27) Input: $0.500000
Output: $0.005000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.237500 (rounded ~ $0.24) 47.0% 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 1,000 output tokens:

Input Cost: $0.500000
Output Cost: $0.005000 (rounded ~ $0.01)
Total Cost: $0.267500 (rounded ~ $0.27)
Cost per 1K tokens: $0.000534
Tokens per dollar: 1,872,897 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: 31 minutes, 54.72 seconds
Latency: 380 milliseconds to first token
Base Throughput: 280 tokens/second
Effective Throughput: 262 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 5.5 for high-complexitymulti-step research synthesis; choose GPT-6 Sol for high-volumestandardized summarization tasks where cost-efficiency is a priority.

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 →

GPT-6 Sol OpenAI 1050000 🏔️ Context Cliff

$0.557500 (rounded ~ $0.56)

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) $1.007500 (rounded ~ $1.01) Input: $1.000000
Output: $0.007500 (rounded ~ $0.01)

Optimized Cost $0.557500 (rounded ~ $0.56) Input: $1.000000
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000

Total Savings $0.450000 44.7% 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 1,000 output tokens:

Input Cost: $1.000000
Output Cost: $0.007500 (rounded ~ $0.01)
Total Cost: $0.557500 (rounded ~ $0.56)
Cost per 1K tokens: $0.001113
Tokens per dollar: 898,655 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: 1 hour, 8 minutes, 12.32 seconds
Latency: 340 milliseconds to first token
Base Throughput: 131 tokens/second
Effective Throughput: 122 tokens/second (temperature-adjusted)

Best Use Cases

Choose Claude Opus 5.5 for high-complexitymulti-step research synthesis; choose GPT-6 Sol for high-volumestandardized summarization tasks where cost-efficiency is a priority.

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 Claude Opus 5.5

📋 Active Input Parameters

Input Tokens: 500,000

Output Tokens: 1,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Claude Opus 5.5	vs GPT-6 Sol
🏆	GPT-5.6 Luna OpenAI	$0.014050 (rounded ~ $0.01) Best Value	↓ 94.7% cheaper	↓ 97.5% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.017563 (rounded ~ $0.02)	↓ 93.4% cheaper	↓ 96.8% cheaper
🥉	Gemini 3.5 Flash-Lite Google	$0.021250 (rounded ~ $0.02)	↓ 92.1% cheaper	↓ 96.2% cheaper
#4	Gemini 2.5 Flash Google	$0.021250 (rounded ~ $0.02)	↓ 92.1% cheaper	↓ 96.2% cheaper
#5	GPT-6 Luna OpenAI	$0.027875 (rounded ~ $0.03)	↓ 89.6% cheaper	↓ 95% cheaper
#6	Gemini 3.8 Flash Google	$0.052500 (rounded ~ $0.05)	↓ 80.4% cheaper	↓ 90.6% cheaper
#7	Gemini 3.6 Flash Google	$0.052500 (rounded ~ $0.05)	↓ 80.4% cheaper	↓ 90.6% cheaper
#8	Claude Haiku 5.5 Anthropic	$0.070000	↓ 73.8% cheaper	↓ 87.4% cheaper
#9	Mistral Large 4 Mistral AI	$0.094545 (rounded ~ $0.09)	↓ 64.7% cheaper	↓ 83% cheaper
#10	Claude Sonnet 5.5 Anthropic	$0.133750 (rounded ~ $0.13)	↓ 50% cheaper	↓ 76% cheaper
#11	Claude Sonnet 5 Anthropic	$0.140000	↓ 47.7% cheaper	↓ 74.9% cheaper
#12	Gemini 4 Argon Google	$0.140000	↓ 47.7% cheaper	↓ 74.9% cheaper
#13	Gemini 3.1 Flash Google	$0.140500	↓ 47.5% cheaper	↓ 74.8% cheaper
#14	GPT-5.6 Terra OpenAI	$0.140500	↓ 47.5% cheaper	↓ 74.8% cheaper
#15	Claude Sonnet 4.6 Anthropic	$0.210000	↓ 21.5% cheaper	↓ 62.3% cheaper
#16	GPT-5.6 Sol OpenAI	$0.280000	↑ 4.7% more	↓ 49.8% cheaper
#17	Claude Opus 4.7 Anthropic	$0.350000	↑ 30.8% more	↓ 37.2% cheaper
#18	Claude Opus 5 Anthropic	$0.350000	↑ 30.8% more	↓ 37.2% cheaper
#19	Claude Opus 4.8 Anthropic	$0.350000	↑ 30.8% more	↓ 37.2% cheaper
#20	Claude Opus 4.6 Anthropic	$0.350000	↑ 30.8% more	↓ 37.2% cheaper
#21	Gemini 2.5 Pro Google	$0.351250 (rounded ~ $0.35)	↑ 31.3% more	↓ 37% cheaper
#22	Grok 4.3 xAI	$0.554000 (rounded ~ $0.55)	↑ 107.1% more	↓ 0.6% cheaper
#23	Grok 4.20 Beta xAI	$0.554000 (rounded ~ $0.55)	↑ 107.1% more	↓ 0.6% cheaper
#24	GPT-6.1 Sol OpenAI	$0.557500 (rounded ~ $0.56)	↑ 108.4% more	Same price
#25	GPT-6 Sol OpenAI	$0.557500 (rounded ~ $0.56)	↑ 108.4% more	Same price
#26	Gemini 3.1 Pro Google	$0.559000 (rounded ~ $0.56)	↑ 109% more	↑ 0.3% more
#27	Claude Fable 5.1 Anthropic	$0.653125 (rounded ~ $0.65)	↑ 144.2% more	↑ 17.2% more
#28	Claude Mythos 5.1 Anthropic	$0.653125 (rounded ~ $0.65)	↑ 144.2% more	↑ 17.2% more
#29	GPT-5.4 OpenAI	$0.698750 (rounded ~ $0.70)	↑ 161.2% more	↑ 25.3% more
#30	GPT-5.4 Thinking OpenAI	$0.698750 (rounded ~ $0.70)	↑ 161.2% more	↑ 25.3% more
#31	Claude Fable 5 Anthropic	$0.700000	↑ 161.7% more	↑ 25.6% more
#32	Claude Mythos 5 Anthropic	$0.700000	↑ 161.7% more	↑ 25.6% more
#33	GPT-5.5 OpenAI	$1.397500 (rounded ~ $1.40)	↑ 422.4% more	↑ 150.7% more
#34	GPT-6 Astra OpenAI	$2.800000	↑ 946.7% more	↑ 402.2% more
#35	GPT-6 Astra OpenAI	$2.800000	↑ 946.7% more	↑ 402.2% more

🏆

GPT-5.6 Luna
OpenAI

$0.014050 (rounded ~ $0.01)

vs Claude Opus 5.5: ↓ 94.7%

vs GPT-6 Sol: ↓ 97.5%

🥈

Gemini 3.1 Flash Lite
Google

$0.017563 (rounded ~ $0.02)

vs Claude Opus 5.5: ↓ 93.4%

vs GPT-6 Sol: ↓ 96.8%

🥉

Gemini 3.5 Flash-Lite
Google

$0.021250 (rounded ~ $0.02)

vs Claude Opus 5.5: ↓ 92.1%

vs GPT-6 Sol: ↓ 96.2%

Gemini 2.5 Flash
Google

$0.021250 (rounded ~ $0.02)

vs Claude Opus 5.5: ↓ 92.1%

vs GPT-6 Sol: ↓ 96.2%

GPT-6 Luna
OpenAI

$0.027875 (rounded ~ $0.03)

vs Claude Opus 5.5: ↓ 89.6%

vs GPT-6 Sol: ↓ 95%

Gemini 3.8 Flash
Google

$0.052500 (rounded ~ $0.05)

vs Claude Opus 5.5: ↓ 80.4%

vs GPT-6 Sol: ↓ 90.6%

Gemini 3.6 Flash
Google

$0.052500 (rounded ~ $0.05)

vs Claude Opus 5.5: ↓ 80.4%

vs GPT-6 Sol: ↓ 90.6%

Claude Haiku 5.5
Anthropic

$0.070000

vs Claude Opus 5.5: ↓ 73.8%

vs GPT-6 Sol: ↓ 87.4%

Mistral Large 4
Mistral AI

$0.094545 (rounded ~ $0.09)

vs Claude Opus 5.5: ↓ 64.7%

vs GPT-6 Sol: ↓ 83%

#10

Claude Sonnet 5.5
Anthropic

$0.133750 (rounded ~ $0.13)

vs Claude Opus 5.5: ↓ 50%

vs GPT-6 Sol: ↓ 76%

#11

Claude Sonnet 5
Anthropic

$0.140000

vs Claude Opus 5.5: ↓ 47.7%

vs GPT-6 Sol: ↓ 74.9%

#12

Gemini 4 Argon
Google

$0.140000

vs Claude Opus 5.5: ↓ 47.7%

vs GPT-6 Sol: ↓ 74.9%

#13

Gemini 3.1 Flash
Google

$0.140500

vs Claude Opus 5.5: ↓ 47.5%

vs GPT-6 Sol: ↓ 74.8%

#14

GPT-5.6 Terra
OpenAI

$0.140500

vs Claude Opus 5.5: ↓ 47.5%

vs GPT-6 Sol: ↓ 74.8%

#15

Claude Sonnet 4.6
Anthropic

$0.210000

vs Claude Opus 5.5: ↓ 21.5%

vs GPT-6 Sol: ↓ 62.3%

#16

GPT-5.6 Sol
OpenAI

$0.280000

vs Claude Opus 5.5: ↑ 4.7%

vs GPT-6 Sol: ↓ 49.8%

#17

Claude Opus 4.7
Anthropic

$0.350000

vs Claude Opus 5.5: ↑ 30.8%

vs GPT-6 Sol: ↓ 37.2%

#18

Claude Opus 5
Anthropic

$0.350000

vs Claude Opus 5.5: ↑ 30.8%

vs GPT-6 Sol: ↓ 37.2%

#19

Claude Opus 4.8
Anthropic

$0.350000

vs Claude Opus 5.5: ↑ 30.8%

vs GPT-6 Sol: ↓ 37.2%

#20

Claude Opus 4.6
Anthropic

$0.350000

vs Claude Opus 5.5: ↑ 30.8%

vs GPT-6 Sol: ↓ 37.2%

#21

Gemini 2.5 Pro
Google

$0.351250 (rounded ~ $0.35)

vs Claude Opus 5.5: ↑ 31.3%

vs GPT-6 Sol: ↓ 37%

#22

Grok 4.3
xAI

$0.554000 (rounded ~ $0.55)

vs Claude Opus 5.5: ↑ 107.1%

vs GPT-6 Sol: ↓ 0.6%

#23

Grok 4.20 Beta
xAI

$0.554000 (rounded ~ $0.55)

vs Claude Opus 5.5: ↑ 107.1%

vs GPT-6 Sol: ↓ 0.6%

#24

GPT-6.1 Sol
OpenAI

$0.557500 (rounded ~ $0.56)

vs Claude Opus 5.5: ↑ 108.4%

vs GPT-6 Sol: Same

#25

GPT-6 Sol
OpenAI

$0.557500 (rounded ~ $0.56)

vs Claude Opus 5.5: ↑ 108.4%

vs GPT-6 Sol: Same

#26

Gemini 3.1 Pro
Google

$0.559000 (rounded ~ $0.56)

vs Claude Opus 5.5: ↑ 109%

vs GPT-6 Sol: ↑ 0.3%

#27

Claude Fable 5.1
Anthropic

$0.653125 (rounded ~ $0.65)

vs Claude Opus 5.5: ↑ 144.2%

vs GPT-6 Sol: ↑ 17.2%

#28

Claude Mythos 5.1
Anthropic

$0.653125 (rounded ~ $0.65)

vs Claude Opus 5.5: ↑ 144.2%

vs GPT-6 Sol: ↑ 17.2%

#29

GPT-5.4
OpenAI

$0.698750 (rounded ~ $0.70)

vs Claude Opus 5.5: ↑ 161.2%

vs GPT-6 Sol: ↑ 25.3%

#30

GPT-5.4 Thinking
OpenAI

$0.698750 (rounded ~ $0.70)

vs Claude Opus 5.5: ↑ 161.2%

vs GPT-6 Sol: ↑ 25.3%

#31

Claude Fable 5
Anthropic

$0.700000

vs Claude Opus 5.5: ↑ 161.7%

vs GPT-6 Sol: ↑ 25.6%

#32

Claude Mythos 5
Anthropic

$0.700000

vs Claude Opus 5.5: ↑ 161.7%

vs GPT-6 Sol: ↑ 25.6%

#33

GPT-5.5
OpenAI

$1.397500 (rounded ~ $1.40)

vs Claude Opus 5.5: ↑ 422.4%

vs GPT-6 Sol: ↑ 150.7%

#34

GPT-6 Astra
OpenAI

$2.800000

vs Claude Opus 5.5: ↑ 946.7%

vs GPT-6 Sol: ↑ 402.2%

#35

GPT-6 Astra
OpenAI

$2.800000

vs Claude Opus 5.5: ↑ 946.7%

vs GPT-6 Sol: ↑ 402.2%

✨ 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.

For UX design teams managing extensive qualitative research, choosing the right model for long-document summarization hinges on the balance between high-fidelity reasoning and cost-efficiency. Claude Opus 5.5 has established itself as a premier choice for complex, multi-step agentic workflows. It excels at extracting nuanced insights from sprawling transcript sets and dense persona documentation, providing the sophisticated synthesis required for user journey mapping. Its ability to maintain coherence across lengthy, high-context inputs makes it a reliable partner for deep research analysis where clarity and precision are paramount.

Conversely, GPT-6 Sol is engineered for cost-effective performance, making it a compelling alternative for teams that need to process substantial document volumes without sacrificing intelligence. While Claude Opus 5.5 is often favored for its nuanced grasp of complex instructions and creative synthesis, GPT-6 Sol shines in production-heavy pipelines. It provides an efficient reasoning bridge, performing reliably on structured extraction and standardized summarization tasks. For product teams maintaining a growing repository of research, GPT-6 Sol can significantly lower the unit economics of repetitive synthesis tasks, allowing for broader coverage of user data. Choosing between them often comes down to your primary constraint: if you need frontier-level reasoning depth for high-stakes research, Opus 5.5 is the clear choice; for high-frequency, standardized processing of extensive document sets, GPT-6 Sol offers a highly optimized, production-grade pathway that keeps operational budgets sustainable without compromising on output quality.

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.

Claude Opus 5.5 vs GPT-6 Sol for 500K-Token Document Summarization

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Claude Opus 5.5

Calculate Token Costs

📊 Advanced Cost Breakdown

Processing Speed

Model Comparison

Model Information

🔄 Advanced Options

⚡ Optimization

🧠 Reasoning & Thinking

🔧 Special Modes

📚 Research & Citations

🎤 Realtime Audio & Video

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?

GPT-6 Sol OpenAI 1050000 🏔️ Context Cliff

💰 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-5.6 Luna OpenAI

Gemini 3.1 Flash Lite Google

Gemini 3.5 Flash-Lite Google

Gemini 2.5 Flash Google

GPT-6 Luna OpenAI

Gemini 3.8 Flash Google

Gemini 3.6 Flash Google

Claude Haiku 5.5 Anthropic

Mistral Large 4 Mistral AI

Claude Sonnet 5.5 Anthropic

Claude Sonnet 5 Anthropic

Gemini 4 Argon Google

Gemini 3.1 Flash Google

GPT-5.6 Terra OpenAI

Claude Sonnet 4.6 Anthropic

GPT-5.6 Sol OpenAI

Claude Opus 4.7 Anthropic

Claude Opus 5 Anthropic

Claude Opus 4.8 Anthropic

Claude Opus 4.6 Anthropic

Gemini 2.5 Pro Google

Grok 4.3 xAI

Grok 4.20 Beta xAI

GPT-6.1 Sol OpenAI

GPT-6 Sol OpenAI

Gemini 3.1 Pro Google

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

GPT-5.4 OpenAI

GPT-5.4 Thinking OpenAI

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-5.6 Luna
OpenAI

Gemini 3.1 Flash Lite
Google

Gemini 3.5 Flash-Lite
Google

Gemini 2.5 Flash
Google

GPT-6 Luna
OpenAI

Gemini 3.8 Flash
Google

Gemini 3.6 Flash
Google

Claude Haiku 5.5
Anthropic

Mistral Large 4
Mistral AI

Claude Sonnet 5.5
Anthropic

Claude Sonnet 5
Anthropic

Gemini 4 Argon
Google

Gemini 3.1 Flash
Google

GPT-5.6 Terra
OpenAI

Claude Sonnet 4.6
Anthropic

GPT-5.6 Sol
OpenAI

Claude Opus 4.7
Anthropic

Claude Opus 5
Anthropic

Claude Opus 4.8
Anthropic

Claude Opus 4.6
Anthropic

Gemini 2.5 Pro
Google

Grok 4.3
xAI

Grok 4.20 Beta
xAI

GPT-6.1 Sol
OpenAI

GPT-6 Sol
OpenAI

Gemini 3.1 Pro
Google

Claude Fable 5.1
Anthropic

Claude Mythos 5.1
Anthropic

GPT-5.4
OpenAI

GPT-5.4 Thinking
OpenAI

Claude Fable 5
Anthropic

Claude Mythos 5
Anthropic

GPT-5.5
OpenAI

GPT-6 Astra
OpenAI

GPT-6 Astra
OpenAI