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 Sonnet 5 vs Gemini 3.5 Flash for 100K-Token Multi-Agent Workflows

Name: Gemini 3.5 Flash
Brand: Google
Price: 0.02 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Claude Sonnet 5 vs Gemini 3.5 Flash

Complete Comparison: 100,000 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 Sonnet 5 Anthropic	Gemini 3.5 Flash Google
Calculation Results (Current Inputs) (50% cached)
Input Tokens	100,000	100,000
Output Tokens	1,000	1,000
Cost Breakdown
Input Cost	$0.050000Worst	$0.037500 (rounded ~ $0.04)Best
Output Cost	$0.002500Worst	$0.002250Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.030000 Most Expensive	$0.022875 (rounded ~ $0.02) Best Value
Processing Time	3 minutes, 55.11 seconds Slowest	2 minutes, 7.32 seconds Fastest
Tokens per Second	460Slowest	850Fastest
Time to First Token	195ms Worst	90ms Best
Cost per 1K tokens	$0.000297Worst	$0.000226Best
Tokens per Dollar	3,366,667Worst Value	4,415,301Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.500000Worst	$0.375000 (rounded ~ $0.38)Best
Output Cost / 1M (Base)	$2.500000Worst	$2.250000Best
Input Cost / 1M (Optimized)	$0.250000Worst Optimizations: 50.0% batch	$0.187500 (rounded ~ $0.19)Best Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$1.250000Worst Optimizations: 50.0% batch	$1.125000 (rounded ~ $1.13)Best Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support	✓ Supported	✓ Supported
Video Support	✗ Not Supported	✓ Supported
Audio Support	✗ Not 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 Sonnet 5 Anthropic 1000000

$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

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,000 output tokens:

Input Cost: $0.050000
Output Cost: $0.002500
Total Cost: $0.030000
Cost per 1K tokens: $0.000297
Tokens per dollar: 3,366,667 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 460 tokens per second and 195ms time to first token:

Processing Time: 3 minutes, 55.11 seconds
Latency: 195 milliseconds to first token
Base Throughput: 460 tokens/second
Effective Throughput: 430 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 5 for high-reasoning orchestrator tasks; deploy Gemini 3.5 Flash for high-speedcost-effective worker agent execution.

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 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 →

Gemini 3.5 Flash Google 1000000

$0.022875 (rounded ~ $0.02)

Total Cost

⚡ 50% Cached 📊 Batch API 🔧 Tools

👁️

Vision/Images

✓ Available

🎧

Audio Processing

✓ Available

🎥

Video Analysis

✓ Available

🔧

Tool Usage

✓ Available

📄

OCR Support

✗ Not Available

📊

Batch API

✓ Available

⚡

Caching

✓ Available

90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.039750 Input: $0.037500 (rounded ~ $0.04)
Output: $0.002250

Optimized Cost $0.022875 (rounded ~ $0.02) Input: $0.037500 (rounded ~ $0.04)
Output: $0.002250
Unit: $0.000000
Fees: $0.000000

Total Savings $0.016875 (rounded ~ $0.02) 42.5% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 1,000 output tokens:

Input Cost: $0.037500 (rounded ~ $0.04)
Output Cost: $0.002250
Total Cost: $0.022875 (rounded ~ $0.02)
Cost per 1K tokens: $0.000226
Tokens per dollar: 4,415,301 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 850 tokens per second and 90ms time to first token:

Processing Time: 2 minutes, 7.32 seconds
Latency: 90 milliseconds to first token
Base Throughput: 850 tokens/second
Effective Throughput: 794 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 5 for high-reasoning orchestrator tasks; deploy Gemini 3.5 Flash for high-speedcost-effective worker agent execution.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.5 Flash. 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 Sonnet 5

📋 Active Input Parameters

Input Tokens: 100,000

Output Tokens: 1,000

Batch API: Enabled (50% discount)

Cached Tokens: 50%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Claude Sonnet 5	vs Gemini 3.5 Flash
🏆	Mistral Small 3 Mistral AI	$0.001450 Best Value	↓ 95.2% cheaper	↓ 93.7% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.003813	↓ 87.3% cheaper	↓ 83.3% cheaper
🥉	Gemini 3.5 Flash-Lite Google	$0.004750	↓ 84.2% cheaper	↓ 79.2% cheaper
#4	Gemini 2.5 Flash Google	$0.004750	↓ 84.2% cheaper	↓ 79.2% cheaper
#5	Mistral Large 3 Mistral AI	$0.007250 (rounded ~ $0.01)	↓ 75.8% cheaper	↓ 68.3% cheaper
#6	Gemini 3.8 Flash Google	$0.011250 (rounded ~ $0.01)	↓ 62.5% cheaper	↓ 50.8% cheaper
#7	GPT-5.4 mini OpenAI	$0.011438 (rounded ~ $0.01)	↓ 61.9% cheaper	↓ 50% cheaper
#8	o4-mini Deep Research OpenAI	$0.014750 (rounded ~ $0.01)	↓ 50.8% cheaper	↓ 35.5% cheaper
#9	Claude Haiku 4.5 Anthropic	$0.015000 (rounded ~ $0.02)	↓ 50% cheaper	↓ 34.4% cheaper
#10	Gemini 3.1 Flash Google	$0.015250 (rounded ~ $0.02)	↓ 49.2% cheaper	↓ 33.3% cheaper
#11	GPT-5.6 Luna OpenAI	$0.015250 (rounded ~ $0.02)	↓ 49.2% cheaper	↓ 33.3% cheaper
#12	o4-mini OpenAI	$0.016225 (rounded ~ $0.02)	↓ 45.9% cheaper	↓ 29.1% cheaper
#13	Gemini 3.6 Flash Google	$0.022500 (rounded ~ $0.02)	↓ 25% cheaper	↓ 1.6% cheaper
#14	Gemini 3.5 Flash Google	$0.022875 (rounded ~ $0.02)	↓ 23.8% cheaper	Same price
#15	GPT-5.3 Codex Spark OpenAI	$0.027563 (rounded ~ $0.03)	↓ 8.1% cheaper	↑ 20.5% more
#16	GPT-5.3 Instant OpenAI	$0.027563 (rounded ~ $0.03)	↓ 8.1% cheaper	↑ 20.5% more
#17	GPT-5.6 Terra OpenAI	$0.038125 (rounded ~ $0.04)	↑ 27.1% more	↑ 66.7% more
#18	Gemini 2.5 Pro Google	$0.039375	↑ 31.3% more	↑ 72.1% more
#19	Claude Sonnet 4.6 Anthropic	$0.045000 (rounded ~ $0.05)	↑ 50% more	↑ 96.7% more
#20	Grok 4.3 xAI	$0.057000 (rounded ~ $0.06)	↑ 90% more	↑ 149.2% more
#21	Grok 4.20 Beta xAI	$0.057000 (rounded ~ $0.06)	↑ 90% more	↑ 149.2% more
#22	Gemini 3.1 Pro Google	$0.061000 (rounded ~ $0.06)	↑ 103.3% more	↑ 166.7% more
#23	Claude Opus 4.7 Anthropic	$0.075000 (rounded ~ $0.08)	↑ 150% more	↑ 227.9% more
#24	Claude Opus 5 Anthropic	$0.075000 (rounded ~ $0.08)	↑ 150% more	↑ 227.9% more
#25	Claude Opus 4.8 Anthropic	$0.075000 (rounded ~ $0.08)	↑ 150% more	↑ 227.9% more
#26	Claude Opus 4.6 Anthropic	$0.075000 (rounded ~ $0.08)	↑ 150% more	↑ 227.9% more
#27	GPT-5.4 OpenAI	$0.076250 (rounded ~ $0.08)	↑ 154.2% more	↑ 233.3% more
#28	GPT-5.4 Thinking OpenAI	$0.076250 (rounded ~ $0.08)	↑ 154.2% more	↑ 233.3% more
#29	GPT-5.5 Instant OpenAI	$0.076250 (rounded ~ $0.08)	↑ 154.2% more	↑ 233.3% more
#30	GPT-5.6 Sol OpenAI	$0.076250 (rounded ~ $0.08)	↑ 154.2% more	↑ 233.3% more
#31	Claude Fable 5.1 Anthropic	$0.140625	↑ 368.8% more	↑ 514.8% more
#32	Claude Mythos 5.1 Anthropic	$0.140625	↑ 368.8% more	↑ 514.8% more
#33	o3 Deep Research OpenAI	$0.147500 (rounded ~ $0.15)	↑ 391.7% more	↑ 544.8% more
#34	Claude Fable 5 Anthropic	$0.150000	↑ 400% more	↑ 555.7% more
#35	Claude Mythos 5 Anthropic	$0.150000	↑ 400% more	↑ 555.7% more
#36	GPT-5.5 OpenAI	$0.152500 (rounded ~ $0.15)	↑ 408.3% more	↑ 566.7% more
#37	o3 Pro OpenAI	$0.295000 (rounded ~ $0.30)	↑ 883.3% more	↑ 1189.6% more
#38	GPT-6 Astra OpenAI	$0.300000	↑ 900% more	↑ 1211.5% more
#39	GPT-5.2 Pro OpenAI	$0.330750	↑ 1002.5% more	↑ 1345.9% more
#40	GPT-5.2 Pro OpenAI	$0.330750	↑ 1002.5% more	↑ 1345.9% more

🏆

Mistral Small 3
Mistral AI

$0.001450

vs Claude Sonnet 5: ↓ 95.2%

vs Gemini 3.5 Flash: ↓ 93.7%

🥈

Gemini 3.1 Flash Lite
Google

$0.003813

vs Claude Sonnet 5: ↓ 87.3%

vs Gemini 3.5 Flash: ↓ 83.3%

🥉

Gemini 3.5 Flash-Lite
Google

$0.004750

vs Claude Sonnet 5: ↓ 84.2%

vs Gemini 3.5 Flash: ↓ 79.2%

Gemini 2.5 Flash
Google

$0.004750

vs Claude Sonnet 5: ↓ 84.2%

vs Gemini 3.5 Flash: ↓ 79.2%

Mistral Large 3
Mistral AI

$0.007250 (rounded ~ $0.01)

vs Claude Sonnet 5: ↓ 75.8%

vs Gemini 3.5 Flash: ↓ 68.3%

Gemini 3.8 Flash
Google

$0.011250 (rounded ~ $0.01)

vs Claude Sonnet 5: ↓ 62.5%

vs Gemini 3.5 Flash: ↓ 50.8%

GPT-5.4 mini
OpenAI

$0.011438 (rounded ~ $0.01)

vs Claude Sonnet 5: ↓ 61.9%

vs Gemini 3.5 Flash: ↓ 50%

o4-mini Deep Research
OpenAI

$0.014750 (rounded ~ $0.01)

vs Claude Sonnet 5: ↓ 50.8%

vs Gemini 3.5 Flash: ↓ 35.5%

Claude Haiku 4.5
Anthropic

$0.015000 (rounded ~ $0.02)

vs Claude Sonnet 5: ↓ 50%

vs Gemini 3.5 Flash: ↓ 34.4%

#10

Gemini 3.1 Flash
Google

$0.015250 (rounded ~ $0.02)

vs Claude Sonnet 5: ↓ 49.2%

vs Gemini 3.5 Flash: ↓ 33.3%

#11

GPT-5.6 Luna
OpenAI

$0.015250 (rounded ~ $0.02)

vs Claude Sonnet 5: ↓ 49.2%

vs Gemini 3.5 Flash: ↓ 33.3%

#12

o4-mini
OpenAI

$0.016225 (rounded ~ $0.02)

vs Claude Sonnet 5: ↓ 45.9%

vs Gemini 3.5 Flash: ↓ 29.1%

#13

Gemini 3.6 Flash
Google

$0.022500 (rounded ~ $0.02)

vs Claude Sonnet 5: ↓ 25%

vs Gemini 3.5 Flash: ↓ 1.6%

#14

Gemini 3.5 Flash
Google

$0.022875 (rounded ~ $0.02)

vs Claude Sonnet 5: ↓ 23.8%

vs Gemini 3.5 Flash: Same

#15

GPT-5.3 Codex Spark
OpenAI

$0.027563 (rounded ~ $0.03)

vs Claude Sonnet 5: ↓ 8.1%

vs Gemini 3.5 Flash: ↑ 20.5%

#16

GPT-5.3 Instant
OpenAI

$0.027563 (rounded ~ $0.03)

vs Claude Sonnet 5: ↓ 8.1%

vs Gemini 3.5 Flash: ↑ 20.5%

#17

GPT-5.6 Terra
OpenAI

$0.038125 (rounded ~ $0.04)

vs Claude Sonnet 5: ↑ 27.1%

vs Gemini 3.5 Flash: ↑ 66.7%

#18

Gemini 2.5 Pro
Google

$0.039375

vs Claude Sonnet 5: ↑ 31.3%

vs Gemini 3.5 Flash: ↑ 72.1%

#19

Claude Sonnet 4.6
Anthropic

$0.045000 (rounded ~ $0.05)

vs Claude Sonnet 5: ↑ 50%

vs Gemini 3.5 Flash: ↑ 96.7%

#20

Grok 4.3
xAI

$0.057000 (rounded ~ $0.06)

vs Claude Sonnet 5: ↑ 90%

vs Gemini 3.5 Flash: ↑ 149.2%

#21

Grok 4.20 Beta
xAI

$0.057000 (rounded ~ $0.06)

vs Claude Sonnet 5: ↑ 90%

vs Gemini 3.5 Flash: ↑ 149.2%

#22

Gemini 3.1 Pro
Google

$0.061000 (rounded ~ $0.06)

vs Claude Sonnet 5: ↑ 103.3%

vs Gemini 3.5 Flash: ↑ 166.7%

#23

Claude Opus 4.7
Anthropic

$0.075000 (rounded ~ $0.08)

vs Claude Sonnet 5: ↑ 150%

vs Gemini 3.5 Flash: ↑ 227.9%

#24

Claude Opus 5
Anthropic

$0.075000 (rounded ~ $0.08)

vs Claude Sonnet 5: ↑ 150%

vs Gemini 3.5 Flash: ↑ 227.9%

#25

Claude Opus 4.8
Anthropic

$0.075000 (rounded ~ $0.08)

vs Claude Sonnet 5: ↑ 150%

vs Gemini 3.5 Flash: ↑ 227.9%

#26

Claude Opus 4.6
Anthropic

$0.075000 (rounded ~ $0.08)

vs Claude Sonnet 5: ↑ 150%

vs Gemini 3.5 Flash: ↑ 227.9%

#27

GPT-5.4
OpenAI

$0.076250 (rounded ~ $0.08)

vs Claude Sonnet 5: ↑ 154.2%

vs Gemini 3.5 Flash: ↑ 233.3%

#28

GPT-5.4 Thinking
OpenAI

$0.076250 (rounded ~ $0.08)

vs Claude Sonnet 5: ↑ 154.2%

vs Gemini 3.5 Flash: ↑ 233.3%

#29

GPT-5.5 Instant
OpenAI

$0.076250 (rounded ~ $0.08)

vs Claude Sonnet 5: ↑ 154.2%

vs Gemini 3.5 Flash: ↑ 233.3%

#30

GPT-5.6 Sol
OpenAI

$0.076250 (rounded ~ $0.08)

vs Claude Sonnet 5: ↑ 154.2%

vs Gemini 3.5 Flash: ↑ 233.3%

#31

Claude Fable 5.1
Anthropic

$0.140625

vs Claude Sonnet 5: ↑ 368.8%

vs Gemini 3.5 Flash: ↑ 514.8%

#32

Claude Mythos 5.1
Anthropic

$0.140625

vs Claude Sonnet 5: ↑ 368.8%

vs Gemini 3.5 Flash: ↑ 514.8%

#33

o3 Deep Research
OpenAI

$0.147500 (rounded ~ $0.15)

vs Claude Sonnet 5: ↑ 391.7%

vs Gemini 3.5 Flash: ↑ 544.8%

#34

Claude Fable 5
Anthropic

$0.150000

vs Claude Sonnet 5: ↑ 400%

vs Gemini 3.5 Flash: ↑ 555.7%

#35

Claude Mythos 5
Anthropic

$0.150000

vs Claude Sonnet 5: ↑ 400%

vs Gemini 3.5 Flash: ↑ 555.7%

#36

GPT-5.5
OpenAI

$0.152500 (rounded ~ $0.15)

vs Claude Sonnet 5: ↑ 408.3%

vs Gemini 3.5 Flash: ↑ 566.7%

#37

o3 Pro
OpenAI

$0.295000 (rounded ~ $0.30)

vs Claude Sonnet 5: ↑ 883.3%

vs Gemini 3.5 Flash: ↑ 1189.6%

#38

GPT-6 Astra
OpenAI

$0.300000

vs Claude Sonnet 5: ↑ 900%

vs Gemini 3.5 Flash: ↑ 1211.5%

#39

GPT-5.2 Pro
OpenAI

$0.330750

vs Claude Sonnet 5: ↑ 1002.5%

vs Gemini 3.5 Flash: ↑ 1345.9%

#40

GPT-5.2 Pro
OpenAI

$0.330750

vs Claude Sonnet 5: ↑ 1002.5%

vs Gemini 3.5 Flash: ↑ 1345.9%

✨ 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 the Right Orchestration Engine

For engineering leads managing multi-agent systems, the orchestrator-worker pattern is the most reliable architecture for 2026. This setup requires a central orchestrator that can reliably decompose complex objectives and maintain state across sub-agent calls. When orchestrating 100K-token tasks, the choice between model tiers is a strategic tradeoff between reasoning depth and system latency.

Claude Sonnet 5 is frequently selected as the primary orchestrator in enterprise environments. Its strength lies in its ability to handle nuanced system instructions and complex dependency chains without losing track of the initial objective. It excels when the orchestration layer requires strict adherence to guardrails and complex state management.

Gemini 3.5 Flash, conversely, is ideal for the worker tier or as the orchestrator in high-throughput pipelines where latency is the primary constraint. Its speed makes it highly effective for specialized agents that perform repetitive tasks like data extraction or initial analysis. In hybrid architectures, using Gemini for the worker nodes—where tasks are granular and focused—while reserving Sonnet for the central control plane, is a proven way to optimize performance without sacrificing the intelligence required for higher-level coordination.

For production-grade systems, consider whether your bottleneck is reasoning complexity or request volume. If your workflow involves deep tree-of-thought processing, invest in the stronger orchestrator. If your scale is in the millions of requests per month, prioritize the efficiency of the faster worker models to maintain operational margins.

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 Sonnet 5 vs Gemini 3.5 Flash for 100K-Token Multi-Agent Workflows

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Claude Sonnet 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 Sonnet 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?

Gemini 3.5 Flash Google 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

Mistral Small 3 Mistral AI

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

GPT-5.4 mini OpenAI

o4-mini Deep Research OpenAI

Claude Haiku 4.5 Anthropic

Gemini 3.1 Flash Google

GPT-5.6 Luna OpenAI

o4-mini OpenAI

Gemini 3.6 Flash Google

Gemini 3.5 Flash Google

GPT-5.3 Codex Spark OpenAI

GPT-5.3 Instant OpenAI

GPT-5.6 Terra OpenAI

Gemini 2.5 Pro Google

Claude Sonnet 4.6 Anthropic

Grok 4.3 xAI

Grok 4.20 Beta xAI

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

GPT-5.6 Sol OpenAI

Claude Fable 5.1 Anthropic

Claude Mythos 5.1 Anthropic

o3 Deep Research OpenAI

Claude Fable 5 Anthropic

Claude Mythos 5 Anthropic

GPT-5.5 OpenAI

o3 Pro OpenAI

GPT-6 Astra OpenAI

GPT-5.2 Pro OpenAI

GPT-5.2 Pro OpenAI

Choosing the Right Orchestration Engine

Frequently Asked Questions

Related model pricing

Compare across providers

Other models from the same provider

Mistral Small 3
Mistral AI

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

GPT-5.4 mini
OpenAI

o4-mini Deep Research
OpenAI

Claude Haiku 4.5
Anthropic

Gemini 3.1 Flash
Google

GPT-5.6 Luna
OpenAI

o4-mini
OpenAI

Gemini 3.6 Flash
Google

Gemini 3.5 Flash
Google

GPT-5.3 Codex Spark
OpenAI

GPT-5.3 Instant
OpenAI

GPT-5.6 Terra
OpenAI

Gemini 2.5 Pro
Google

Claude Sonnet 4.6
Anthropic

Grok 4.3
xAI

Grok 4.20 Beta
xAI

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

GPT-5.6 Sol
OpenAI

Claude Fable 5.1
Anthropic

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