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 40% 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 4.6 vs GPT-5.3 Codex Spark: 50,000-Token PR Analysis (Scales to 100M Monthly)

Name: GPT-5.3 Codex Spark
Brand: OpenAI
Price: 0.02 USD
Availability: InStock
Rating: 4.5 (89 reviews)

Claude Sonnet 4.6 vs GPT-5.3 Codex Spark

Complete Comparison: 50,000 input tokens × 500 output tokens

⚡ 40% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 40% Cached.

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

Comparison Criteria	Claude Sonnet 4.6 Anthropic	GPT-5.3 Codex Spark OpenAI
Calculation Results (Current Inputs) (40% cached)
Input Tokens	50,000	50,000
Output Tokens	500	500
Cost Breakdown
Input Cost	$0.037500 (rounded ~ $0.04)Worst	$0.021875 (rounded ~ $0.02)Best
Output Cost	$0.001875Worst	$0.001750Best
Unit Cost (Audio/OCR)	$0.000000	$0.000000
Service Fees	$0.000000	$0.000000
Total Cost	$0.025875 (rounded ~ $0.03) Most Expensive	$0.015750 (rounded ~ $0.02) Best Value
Processing Time	1 minute, 55.77 seconds Slowest	52.20 seconds Fastest
Tokens per Second	450Slowest	1,000Fastest
Time to First Token	200ms Worst	100ms Best
Cost per 1K tokens	$0.000512Worst	$0.000312Best
Tokens per Dollar	1,951,691Worst Value	3,206,349Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base)	$0.750000Worst	$0.437500 (rounded ~ $0.44)Best
Output Cost / 1M (Base)	$3.750000Worst	$3.500000Best
Input Cost / 1M (Optimized)	$0.375000 (rounded ~ $0.38)Worst Optimizations: 50.0% batch	$0.218750 (rounded ~ $0.22)Best Optimizations: 50.0% batch
Output Cost / 1M (Optimized)	$1.875000 (rounded ~ $1.88)Worst Optimizations: 50.0% batch	$1.750000Best Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support	✓ Supported	✓ Supported
Caching Support 40	✓ 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 4.6 Anthropic 1000000

$0.025875 (rounded ~ $0.03)

Total Cost

⚡ 40% 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) $0.039375 Input: $0.037500 (rounded ~ $0.04)
Output: $0.001875

Optimized Cost $0.025875 (rounded ~ $0.03) Input: $0.037500 (rounded ~ $0.04)
Output: $0.001875
Unit: $0.000000
Fees: $0.000000

Total Savings $0.013500 (rounded ~ $0.01) 34.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 500 output tokens:

Input Cost: $0.037500 (rounded ~ $0.04)
Output Cost: $0.001875
Total Cost: $0.025875 (rounded ~ $0.03)
Cost per 1K tokens: $0.000512
Tokens per dollar: 1,951,691 tokens
Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 200ms time to first token:

Processing Time: 1 minute, 55.77 seconds
Latency: 200 milliseconds to first token
Base Throughput: 450 tokens/second
Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Choosing between deep architectural analysis (Claude) and rapidhigh-frequency PR feedback (GPT).

Want this applied to YOUR actual stack?

This calculator shows the math for Claude Sonnet 4.6. 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-5.3 Codex Spark OpenAI

$0.015750 (rounded ~ $0.02)

Total Cost

⚡ 40% 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) $0.023625 (rounded ~ $0.02) Input: $0.021875 (rounded ~ $0.02)
Output: $0.001750

Optimized Cost $0.015750 (rounded ~ $0.02) Input: $0.021875 (rounded ~ $0.02)
Output: $0.001750
Unit: $0.000000
Fees: $0.000000

Total Savings $0.007875 (rounded ~ $0.01) 33.3% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API

50.0% off

Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 500 output tokens:

Input Cost: $0.021875 (rounded ~ $0.02)
Output Cost: $0.001750
Total Cost: $0.015750 (rounded ~ $0.02)
Cost per 1K tokens: $0.000312
Tokens per dollar: 3,206,349 tokens
Context Window: 200000 tokens

Speed & Performance Analysis

With a processing speed of 1,000 tokens per second and 100ms time to first token:

Processing Time: 52.20 seconds
Latency: 100 milliseconds to first token
Base Throughput: 1,000 tokens/second
Effective Throughput: 971 tokens/second (temperature-adjusted)

Best Use Cases

Choosing between deep architectural analysis (Claude) and rapidhigh-frequency PR feedback (GPT).

Want this applied to YOUR actual stack?

This calculator shows the math for GPT-5.3 Codex Spark. 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 4.6

📋 Active Input Parameters

Input Tokens: 50,000

Output Tokens: 500

Batch API: Enabled (50% discount)

Cached Tokens: 40%

Tools: Enabled

Rank	AI Model & Provider	Total Cost	vs Claude Sonnet 4.6	vs GPT-5.3 Codex Spark
🏆	Mistral Small 3 Mistral AI	$0.000838 Best Value	↓ 96.8% cheaper	↓ 94.7% cheaper
🥈	Gemini 3.1 Flash Lite Google	$0.002188	↓ 91.5% cheaper	↓ 86.1% cheaper
🥉	Gemini 3.5 Flash-Lite Google	$0.002713	↓ 89.5% cheaper	↓ 82.8% cheaper
#4	Gemini 2.5 Flash Google	$0.002713	↓ 89.5% cheaper	↓ 82.8% cheaper
#5	Mistral Large 3 Mistral AI	$0.004188	↓ 83.8% cheaper	↓ 73.4% cheaper
#6	Gemini 3.8 Flash Google	$0.006469 (rounded ~ $0.01)	↓ 75% cheaper	↓ 58.9% cheaper
#7	GPT-5.4 mini OpenAI	$0.006563 (rounded ~ $0.01)	↓ 74.6% cheaper	↓ 58.3% cheaper
#8	o4-mini Deep Research OpenAI	$0.008500 (rounded ~ $0.01)	↓ 67.1% cheaper	↓ 46% cheaper
#9	Claude Haiku 4.5 Anthropic	$0.008625 (rounded ~ $0.01)	↓ 66.7% cheaper	↓ 45.2% cheaper
#10	Gemini 3.1 Flash Google	$0.008750 (rounded ~ $0.01)	↓ 66.2% cheaper	↓ 44.4% cheaper
#11	GPT-5.6 Luna OpenAI	$0.008750 (rounded ~ $0.01)	↓ 66.2% cheaper	↓ 44.4% cheaper
#12	o4-mini OpenAI	$0.009350	↓ 63.9% cheaper	↓ 40.6% cheaper
#13	Gemini 3.6 Flash Google	$0.012938 (rounded ~ $0.01)	↓ 50% cheaper	↓ 17.9% cheaper
#14	Gemini 3.5 Flash Google	$0.013125 (rounded ~ $0.01)	↓ 49.3% cheaper	↓ 16.7% cheaper
#15	GPT-5.3 Codex Spark OpenAI	$0.015750 (rounded ~ $0.02)	↓ 39.1% cheaper	Same price
#16	GPT-5.3 Instant OpenAI	$0.015750 (rounded ~ $0.02)	↓ 39.1% cheaper	Same price
#17	Claude Sonnet 5 Anthropic	$0.017250 (rounded ~ $0.02)	↓ 33.3% cheaper	↑ 9.5% more
#18	GPT-5.6 Terra OpenAI	$0.021875 (rounded ~ $0.02)	↓ 15.5% cheaper	↑ 38.9% more
#19	Gemini 2.5 Pro Google	$0.022500 (rounded ~ $0.02)	↓ 13% cheaper	↑ 42.9% more
#20	Grok 4.3 xAI	$0.033000 (rounded ~ $0.03)	↑ 27.5% more	↑ 109.5% more
#21	Grok 4.20 Beta xAI	$0.033000 (rounded ~ $0.03)	↑ 27.5% more	↑ 109.5% more
#22	Gemini 3.1 Pro Google	$0.035000 (rounded ~ $0.04)	↑ 35.3% more	↑ 122.2% more
#23	Claude Opus 4.7 Anthropic	$0.043125 (rounded ~ $0.04)	↑ 66.7% more	↑ 173.8% more
#24	Claude Opus 5 Anthropic	$0.043125 (rounded ~ $0.04)	↑ 66.7% more	↑ 173.8% more
#25	Claude Opus 4.8 Anthropic	$0.043125 (rounded ~ $0.04)	↑ 66.7% more	↑ 173.8% more
#26	Claude Opus 4.6 Anthropic	$0.043125 (rounded ~ $0.04)	↑ 66.7% more	↑ 173.8% more
#27	GPT-5.4 OpenAI	$0.043750 (rounded ~ $0.04)	↑ 69.1% more	↑ 177.8% more
#28	GPT-5.4 Thinking OpenAI	$0.043750 (rounded ~ $0.04)	↑ 69.1% more	↑ 177.8% more
#29	GPT-5.5 Instant OpenAI	$0.043750 (rounded ~ $0.04)	↑ 69.1% more	↑ 177.8% more
#30	GPT-5.6 Sol OpenAI	$0.043750 (rounded ~ $0.04)	↑ 69.1% more	↑ 177.8% more
#31	Claude Fable 5.1 Anthropic	$0.082500 (rounded ~ $0.08)	↑ 218.8% more	↑ 423.8% more
#32	Claude Mythos 5.1 Anthropic	$0.082500 (rounded ~ $0.08)	↑ 218.8% more	↑ 423.8% more
#33	o3 Deep Research OpenAI	$0.085000 (rounded ~ $0.09)	↑ 228.5% more	↑ 439.7% more
#34	Claude Fable 5 Anthropic	$0.086250 (rounded ~ $0.09)	↑ 233.3% more	↑ 447.6% more
#35	Claude Mythos 5 Anthropic	$0.086250 (rounded ~ $0.09)	↑ 233.3% more	↑ 447.6% more
#36	GPT-5.5 OpenAI	$0.087500 (rounded ~ $0.09)	↑ 238.2% more	↑ 455.6% more
#37	o3 Pro OpenAI	$0.170000	↑ 557% more	↑ 979.4% more
#38	GPT-6 Astra OpenAI	$0.172500 (rounded ~ $0.17)	↑ 566.7% more	↑ 995.2% more
#39	GPT-5.2 Pro OpenAI	$0.189000 (rounded ~ $0.19)	↑ 630.4% more	↑ 1100% more
#40	GPT-5.2 Pro OpenAI	$0.189000 (rounded ~ $0.19)	↑ 630.4% more	↑ 1100% more

🏆

Mistral Small 3
Mistral AI

$0.000838

vs Claude Sonnet 4.6: ↓ 96.8%

vs GPT-5.3 Codex Spark: ↓ 94.7%

🥈

Gemini 3.1 Flash Lite
Google

$0.002188

vs Claude Sonnet 4.6: ↓ 91.5%

vs GPT-5.3 Codex Spark: ↓ 86.1%

🥉

Gemini 3.5 Flash-Lite
Google

$0.002713

vs Claude Sonnet 4.6: ↓ 89.5%

vs GPT-5.3 Codex Spark: ↓ 82.8%

Gemini 2.5 Flash
Google

$0.002713

vs Claude Sonnet 4.6: ↓ 89.5%

vs GPT-5.3 Codex Spark: ↓ 82.8%

Mistral Large 3
Mistral AI

$0.004188

vs Claude Sonnet 4.6: ↓ 83.8%

vs GPT-5.3 Codex Spark: ↓ 73.4%

Gemini 3.8 Flash
Google

$0.006469 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 75%

vs GPT-5.3 Codex Spark: ↓ 58.9%

GPT-5.4 mini
OpenAI

$0.006563 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 74.6%

vs GPT-5.3 Codex Spark: ↓ 58.3%

o4-mini Deep Research
OpenAI

$0.008500 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 67.1%

vs GPT-5.3 Codex Spark: ↓ 46%

Claude Haiku 4.5
Anthropic

$0.008625 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 66.7%

vs GPT-5.3 Codex Spark: ↓ 45.2%

#10

Gemini 3.1 Flash
Google

$0.008750 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 66.2%

vs GPT-5.3 Codex Spark: ↓ 44.4%

#11

GPT-5.6 Luna
OpenAI

$0.008750 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 66.2%

vs GPT-5.3 Codex Spark: ↓ 44.4%

#12

o4-mini
OpenAI

$0.009350

vs Claude Sonnet 4.6: ↓ 63.9%

vs GPT-5.3 Codex Spark: ↓ 40.6%

#13

Gemini 3.6 Flash
Google

$0.012938 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 50%

vs GPT-5.3 Codex Spark: ↓ 17.9%

#14

Gemini 3.5 Flash
Google

$0.013125 (rounded ~ $0.01)

vs Claude Sonnet 4.6: ↓ 49.3%

vs GPT-5.3 Codex Spark: ↓ 16.7%

#15

GPT-5.3 Codex Spark
OpenAI

$0.015750 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 39.1%

vs GPT-5.3 Codex Spark: Same

#16

GPT-5.3 Instant
OpenAI

$0.015750 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 39.1%

vs GPT-5.3 Codex Spark: Same

#17

Claude Sonnet 5
Anthropic

$0.017250 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 33.3%

vs GPT-5.3 Codex Spark: ↑ 9.5%

#18

GPT-5.6 Terra
OpenAI

$0.021875 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 15.5%

vs GPT-5.3 Codex Spark: ↑ 38.9%

#19

Gemini 2.5 Pro
Google

$0.022500 (rounded ~ $0.02)

vs Claude Sonnet 4.6: ↓ 13%

vs GPT-5.3 Codex Spark: ↑ 42.9%

#20

Grok 4.3
xAI

$0.033000 (rounded ~ $0.03)

vs Claude Sonnet 4.6: ↑ 27.5%

vs GPT-5.3 Codex Spark: ↑ 109.5%

#21

Grok 4.20 Beta
xAI

$0.033000 (rounded ~ $0.03)

vs Claude Sonnet 4.6: ↑ 27.5%

vs GPT-5.3 Codex Spark: ↑ 109.5%

#22

Gemini 3.1 Pro
Google

$0.035000 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↑ 35.3%

vs GPT-5.3 Codex Spark: ↑ 122.2%

#23

Claude Opus 4.7
Anthropic

$0.043125 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↑ 66.7%

vs GPT-5.3 Codex Spark: ↑ 173.8%

#24

Claude Opus 5
Anthropic

$0.043125 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↑ 66.7%

vs GPT-5.3 Codex Spark: ↑ 173.8%

#25

Claude Opus 4.8
Anthropic

$0.043125 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↑ 66.7%

vs GPT-5.3 Codex Spark: ↑ 173.8%

#26

Claude Opus 4.6
Anthropic

$0.043125 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↑ 66.7%

vs GPT-5.3 Codex Spark: ↑ 173.8%

#27

GPT-5.4
OpenAI

$0.043750 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↑ 69.1%

vs GPT-5.3 Codex Spark: ↑ 177.8%

#28

GPT-5.4 Thinking
OpenAI

$0.043750 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↑ 69.1%

vs GPT-5.3 Codex Spark: ↑ 177.8%

#29

GPT-5.5 Instant
OpenAI

$0.043750 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↑ 69.1%

vs GPT-5.3 Codex Spark: ↑ 177.8%

#30

GPT-5.6 Sol
OpenAI

$0.043750 (rounded ~ $0.04)

vs Claude Sonnet 4.6: ↑ 69.1%

vs GPT-5.3 Codex Spark: ↑ 177.8%

#31

Claude Fable 5.1
Anthropic

$0.082500 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 218.8%

vs GPT-5.3 Codex Spark: ↑ 423.8%

#32

Claude Mythos 5.1
Anthropic

$0.082500 (rounded ~ $0.08)

vs Claude Sonnet 4.6: ↑ 218.8%

vs GPT-5.3 Codex Spark: ↑ 423.8%

#33

o3 Deep Research
OpenAI

$0.085000 (rounded ~ $0.09)

vs Claude Sonnet 4.6: ↑ 228.5%

vs GPT-5.3 Codex Spark: ↑ 439.7%

#34

Claude Fable 5
Anthropic

$0.086250 (rounded ~ $0.09)

vs Claude Sonnet 4.6: ↑ 233.3%

vs GPT-5.3 Codex Spark: ↑ 447.6%

#35

Claude Mythos 5
Anthropic

$0.086250 (rounded ~ $0.09)

vs Claude Sonnet 4.6: ↑ 233.3%

vs GPT-5.3 Codex Spark: ↑ 447.6%

#36

GPT-5.5
OpenAI

$0.087500 (rounded ~ $0.09)

vs Claude Sonnet 4.6: ↑ 238.2%

vs GPT-5.3 Codex Spark: ↑ 455.6%

#37

o3 Pro
OpenAI

$0.170000

vs Claude Sonnet 4.6: ↑ 557%

vs GPT-5.3 Codex Spark: ↑ 979.4%

#38

GPT-6 Astra
OpenAI

$0.172500 (rounded ~ $0.17)

vs Claude Sonnet 4.6: ↑ 566.7%

vs GPT-5.3 Codex Spark: ↑ 995.2%

#39

GPT-5.2 Pro
OpenAI

$0.189000 (rounded ~ $0.19)

vs Claude Sonnet 4.6: ↑ 630.4%

vs GPT-5.3 Codex Spark: ↑ 1100%

#40

GPT-5.2 Pro
OpenAI

$0.189000 (rounded ~ $0.19)

vs Claude Sonnet 4.6: ↑ 630.4%

vs GPT-5.3 Codex Spark: ↑ 1100%

✨ 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.

In the high-volume environment of enterprise code review, selecting the right model requires balancing the need for deep, logical analysis with the requirement for rapid, iterative feedback. This comparison highlights two distinct approaches to handling 50,000-token pull request diffs: the reasoning-heavy, context-rich performance of Claude Sonnet 4.6 versus the specialized, high-velocity engineering of GPT-5.3 Codex Spark.

Claude Sonnet 4.6 excels when the review process demands a high degree of architectural understanding. Its extensive context window and refined reasoning capabilities make it the preferred choice for complex refactors, security-critical audits, and situations where the assistant must synthesize information across hundreds of files. It is an ideal partner for senior-level engineering tasks where the model’s ability to ‘think’ deeply prevents regression errors that simpler models might miss.

Conversely, GPT-5.3 Codex Spark is engineered specifically for speed and flow-state maintenance. For teams focusing on high-velocity development, this model minimizes wait times, providing near-instantaneous feedback on standard boilerplate, routine logic, and syntax-level adjustments. It is built to keep developers in their flow rather than slowing them down with heavy processing. Choosing between them depends on your team’s bottleneck: if your pipeline is hampered by infrequent but complex architectural errors, lean into the reasoning depth of Claude Sonnet 4.6. If your primary friction point is developer downtime while waiting for PR feedback, the rapid iteration cycles of GPT-5.3 Codex Spark provide a more direct throughput gain.

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 4.6 vs GPT-5.3 Codex Spark: 50,000-Token PR Analysis (Scales to 100M Monthly)

🔄 Compare Different AI Models

First Model

Second Model

Select AI Model

Claude Sonnet 4.6

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 4.6 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-5.3 Codex Spark OpenAI

💰 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

Claude Sonnet 5 Anthropic

GPT-5.6 Terra OpenAI

Gemini 2.5 Pro Google

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

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

Claude Sonnet 5
Anthropic

GPT-5.6 Terra
OpenAI

Gemini 2.5 Pro
Google

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