GPT-5.3 Codex Spark vs Claude Sonnet 4.6 for 100K-Token Code Reviews

GPT-5.3 Codex Spark vs Claude Sonnet 4.6
Complete Comparison: 100,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 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 GPT-5.3 Codex Spark
OpenAI
Claude Sonnet 4.6
Anthropic
Calculation Results (Current Inputs) (50% cached)
Input Tokens 100,000 100,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.043750 (rounded ~ $0.04)Best $0.075000 (rounded ~ $0.08)Worst
Output Cost $0.007000 (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 $0.031063 (rounded ~ $0.03) Best Value $0.048750 (rounded ~ $0.05) Most Expensive
Processing Time 1 minute, 44.22 seconds Fastest 3 minutes, 51.38 seconds Slowest
Tokens per Second 1,000Fastest 450Slowest
Time to First Token 100ms Best 200ms Worst
Cost per 1K tokens $0.000305Best $0.000478Worst
Tokens per Dollar 3,283,702Best Value 2,092,308Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.437500 (rounded ~ $0.44)Best $0.750000Worst
Output Cost / 1M (Base) $3.500000Best $3.750000Worst
Input Cost / 1M (Optimized) $0.218750 (rounded ~ $0.22)Best
Optimizations: 50.0% batch
$0.375000 (rounded ~ $0.38)Worst
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $1.750000Best
Optimizations: 50.0% batch
$1.875000 (rounded ~ $1.88)Worst
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
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Select AI Model

GPT-5.3 Codex Spark
OpenAIMax Context: 200,000 tokens
$1.75 / $14 per 1M tokens
▼
▼
Use Batch API (50% discount)
50%
Provider-specific multipliers applied after all calculations
Enable for cache discounts
Select platform to enforce context limits
Number of requests (max 1M). Summary view auto-enabled >10k.

Calculate Token Costs

$0.031063 Total Cost
$0.021875 Input Cost
$0.007000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
102,000Total Tokens
$0.000305Cost per 1K
3,283,702Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 44s Processing Time
1,000 Tokens/Second
100ms Time to First Token
980 Effective Speed

Model Comparison

Select a model to see comparisons with competitors.

Model Information

Select a model to see detailed information.

🔄 Advanced Options

⚡ Optimization
Flat fee per session (e.g., $0.03 for Code Interpreter)
Hourly storage fee for cached data
First 50 hours free, $0.05/hour after
🧠 Reasoning & Thinking
Manual thinking tokens (billed at output rate)
🔧 Special Modes
Enable 6.0x Fast Mode multiplier
📚 Research & Citations
Enable $1.00/$4.00 rates + $10.00/1k search
Enable research tier pricing
Fee per source cited
🎤 Realtime Audio & Video
Session length for billing
📊 Multiple Models Detected: This page contains data for 2 models. See the detailed comparison table above, and switch between models using tabs below.

GPT-5.3 Codex Spark OpenAI

$0.031063 (rounded ~ $0.03)
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) $0.050750 Input: $0.043750 (rounded ~ $0.04)
Output: $0.007000 (rounded ~ $0.01)
Optimized Cost $0.031063 (rounded ~ $0.03) Input: $0.043750 (rounded ~ $0.04)
Output: $0.007000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.019688 38.8% 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 2,000 output tokens:

  • Input Cost: $0.043750 (rounded ~ $0.04)
  • Output Cost: $0.007000 (rounded ~ $0.01)
  • Total Cost: $0.031063 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.000305
  • Tokens per dollar: 3,283,702 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: 1 minute, 44.22 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 980 tokens/second (temperature-adjusted)

Best Use Cases

Use GPT-5.3 Codex Spark for automatedhigh-speed linting and style checks; reserve Claude Sonnet 4.6 for complex architectural reviews and logic-heavy refactoring.

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 →

Claude Sonnet 4.6 Anthropic 1000000

$0.048750 (rounded ~ $0.05)
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) $0.082500 (rounded ~ $0.08) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Optimized Cost $0.048750 (rounded ~ $0.05) Input: $0.075000 (rounded ~ $0.08)
Output: $0.007500 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.033750 (rounded ~ $0.03) 40.9% 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 2,000 output tokens:

  • Input Cost: $0.075000 (rounded ~ $0.08)
  • Output Cost: $0.007500 (rounded ~ $0.01)
  • Total Cost: $0.048750 (rounded ~ $0.05)
  • Cost per 1K tokens: $0.000478
  • Tokens per dollar: 2,092,308 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: 3 minutes, 51.38 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

Use GPT-5.3 Codex Spark for automatedhigh-speed linting and style checks; reserve Claude Sonnet 4.6 for complex architectural reviews and logic-heavy refactoring.

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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.3 Codex Spark
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 50%
Tools: Enabled
Rank AI Model & Provider Total Cost vs GPT-5.3 Codex Spark vs Claude Sonnet 4.6
🏆 Mistral Small 3
Mistral AI
 $0.001525 Best Value ↓ 95.1% cheaper ↓ 96.9% cheaper
🥈 Grok Code Fast 1
xAI
 $0.003500 ↓ 88.7% cheaper ↓ 92.8% cheaper
🥉 Gemini 3.1 Flash Lite
Google
 $0.004188 ↓ 86.5% cheaper ↓ 91.4% cheaper
#4 Gemini 2.5 Flash
Google
 $0.005375 (rounded ~ $0.01) ↓ 82.7% cheaper ↓ 89% cheaper
#5 Mistral Large 3
Mistral AI
 $0.007625 (rounded ~ $0.01) ↓ 75.5% cheaper ↓ 84.4% cheaper
#6 GPT-5.4 mini
OpenAI
 $0.012563 (rounded ~ $0.01) ↓ 59.6% cheaper ↓ 74.2% cheaper
#7 o4-mini Deep Research
OpenAI
 $0.015750 (rounded ~ $0.02) ↓ 49.3% cheaper ↓ 67.7% cheaper
#8 Claude Haiku 4.5
Anthropic
 $0.016250 (rounded ~ $0.02) ↓ 47.7% cheaper ↓ 66.7% cheaper
#9 Gemini 3.1 Flash
Google
 $0.016750 (rounded ~ $0.02) ↓ 46.1% cheaper ↓ 65.6% cheaper
#10 o4-mini
OpenAI
 $0.017325 (rounded ~ $0.02) ↓ 44.2% cheaper ↓ 64.5% cheaper
#11 Grok 4.3
xAI
 $0.018438 (rounded ~ $0.02) ↓ 40.6% cheaper ↓ 62.2% cheaper
#12 Gemini 3.5 Flash
Google
 $0.025125 (rounded ~ $0.03) ↓ 19.1% cheaper ↓ 48.5% cheaper
#13 Grok 4.20 Beta
xAI
 $0.030500 ↓ 1.8% cheaper ↓ 37.4% cheaper
#14 GPT-5.3 Instant
OpenAI
 $0.031063 (rounded ~ $0.03) Same price ↓ 36.3% cheaper
#15 Gemini 2.5 Pro
Google
 $0.044375 (rounded ~ $0.04) ↑ 42.9% more ↓ 9% cheaper
#16 Claude Sonnet 4.6
Anthropic
 $0.048750 (rounded ~ $0.05) ↑ 56.9% more Same price
#17 Gemini 3.1 Pro
Google
 $0.067000 (rounded ~ $0.07) ↑ 115.7% more ↑ 37.4% more
#18 Claude Opus 4.7
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 161.6% more ↑ 66.7% more
#19 Claude Opus 4.8
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 161.6% more ↑ 66.7% more
#20 Claude Opus 4.6
Anthropic
 $0.081250 (rounded ~ $0.08) ↑ 161.6% more ↑ 66.7% more
#21 GPT-5.4
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 169.6% more ↑ 71.8% more
#22 GPT-5.4 Thinking
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 169.6% more ↑ 71.8% more
#23 GPT-5.5 Instant
OpenAI
 $0.083750 (rounded ~ $0.08) ↑ 169.6% more ↑ 71.8% more
#24 o3 Deep Research
OpenAI
 $0.157500 (rounded ~ $0.16) ↑ 407% more ↑ 223.1% more
#25 GPT-5.5
OpenAI
 $0.167500 (rounded ~ $0.17) ↑ 439.2% more ↑ 243.6% more
#26 o3 Pro
OpenAI
 $0.315000 (rounded ~ $0.32) ↑ 914.1% more ↑ 546.2% more
#27 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 1100% more ↑ 664.6% more
#28 GPT-5.2 Pro
OpenAI
 $0.372750 (rounded ~ $0.37) ↑ 1100% more ↑ 664.6% more
🏆

Mistral Small 3
Mistral AI

$0.001525
vs GPT-5.3 Codex Spark: ↓ 95.1%
vs Claude Sonnet 4.6: ↓ 96.9%
🥈

Grok Code Fast 1
xAI

$0.003500
vs GPT-5.3 Codex Spark: ↓ 88.7%
vs Claude Sonnet 4.6: ↓ 92.8%
🥉

Gemini 3.1 Flash Lite
Google

$0.004188
vs GPT-5.3 Codex Spark: ↓ 86.5%
vs Claude Sonnet 4.6: ↓ 91.4%
#4

Gemini 2.5 Flash
Google

$0.005375 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 82.7%
vs Claude Sonnet 4.6: ↓ 89%
#5

Mistral Large 3
Mistral AI

$0.007625 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 75.5%
vs Claude Sonnet 4.6: ↓ 84.4%
#6

GPT-5.4 mini
OpenAI

$0.012563 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 59.6%
vs Claude Sonnet 4.6: ↓ 74.2%
#7

o4-mini Deep Research
OpenAI

$0.015750 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 49.3%
vs Claude Sonnet 4.6: ↓ 67.7%
#8

Claude Haiku 4.5
Anthropic

$0.016250 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 47.7%
vs Claude Sonnet 4.6: ↓ 66.7%
#9

Gemini 3.1 Flash
Google

$0.016750 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 46.1%
vs Claude Sonnet 4.6: ↓ 65.6%
#10

o4-mini
OpenAI

$0.017325 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 44.2%
vs Claude Sonnet 4.6: ↓ 64.5%
#11

Grok 4.3
xAI

$0.018438 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 40.6%
vs Claude Sonnet 4.6: ↓ 62.2%
#12

Gemini 3.5 Flash
Google

$0.025125 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↓ 19.1%
vs Claude Sonnet 4.6: ↓ 48.5%
#13

Grok 4.20 Beta
xAI

$0.030500
vs GPT-5.3 Codex Spark: ↓ 1.8%
vs Claude Sonnet 4.6: ↓ 37.4%
#14

GPT-5.3 Instant
OpenAI

$0.031063 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: Same
vs Claude Sonnet 4.6: ↓ 36.3%
#15

Gemini 2.5 Pro
Google

$0.044375 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↑ 42.9%
vs Claude Sonnet 4.6: ↓ 9%
#16

Claude Sonnet 4.6
Anthropic

$0.048750 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↑ 56.9%
vs Claude Sonnet 4.6: Same
#17

Gemini 3.1 Pro
Google

$0.067000 (rounded ~ $0.07)
vs GPT-5.3 Codex Spark: ↑ 115.7%
vs Claude Sonnet 4.6: ↑ 37.4%
#18

Claude Opus 4.7
Anthropic

$0.081250 (rounded ~ $0.08)
vs GPT-5.3 Codex Spark: ↑ 161.6%
vs Claude Sonnet 4.6: ↑ 66.7%
#19

Claude Opus 4.8
Anthropic

$0.081250 (rounded ~ $0.08)
vs GPT-5.3 Codex Spark: ↑ 161.6%
vs Claude Sonnet 4.6: ↑ 66.7%
#20

Claude Opus 4.6
Anthropic

$0.081250 (rounded ~ $0.08)
vs GPT-5.3 Codex Spark: ↑ 161.6%
vs Claude Sonnet 4.6: ↑ 66.7%
#21

GPT-5.4
OpenAI

$0.083750 (rounded ~ $0.08)
vs GPT-5.3 Codex Spark: ↑ 169.6%
vs Claude Sonnet 4.6: ↑ 71.8%
#22

GPT-5.4 Thinking
OpenAI

$0.083750 (rounded ~ $0.08)
vs GPT-5.3 Codex Spark: ↑ 169.6%
vs Claude Sonnet 4.6: ↑ 71.8%
#23

GPT-5.5 Instant
OpenAI

$0.083750 (rounded ~ $0.08)
vs GPT-5.3 Codex Spark: ↑ 169.6%
vs Claude Sonnet 4.6: ↑ 71.8%
#24

o3 Deep Research
OpenAI

$0.157500 (rounded ~ $0.16)
vs GPT-5.3 Codex Spark: ↑ 407%
vs Claude Sonnet 4.6: ↑ 223.1%
#25

GPT-5.5
OpenAI

$0.167500 (rounded ~ $0.17)
vs GPT-5.3 Codex Spark: ↑ 439.2%
vs Claude Sonnet 4.6: ↑ 243.6%
#26

o3 Pro
OpenAI

$0.315000 (rounded ~ $0.32)
vs GPT-5.3 Codex Spark: ↑ 914.1%
vs Claude Sonnet 4.6: ↑ 546.2%
#27

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs GPT-5.3 Codex Spark: ↑ 1100%
vs Claude Sonnet 4.6: ↑ 664.6%
#28

GPT-5.2 Pro
OpenAI

$0.372750 (rounded ~ $0.37)
vs GPT-5.3 Codex Spark: ↑ 1100%
vs Claude Sonnet 4.6: ↑ 664.6%
✨ 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.

Code review is the critical gatekeeper in modern software engineering, yet it often becomes a bottleneck as development velocity increases. For teams processing 50-200 KB diffs, selecting the right model depends heavily on the primary intent of the review.

GPT-5.3 Codex Spark is designed for high-throughput, terminal-centric execution. It excels when the review process requires rapid, repetitive linting, syntax checking, or enforcing standardized coding patterns. If your workflow relies on fast, autonomous feedback within a CI/CD pipeline, Codex Spark’s architecture prioritizes speed and structural precision, making it an ideal candidate for automating the ‘routine’ portion of your code review checklist.

Conversely, Claude Sonnet 4.6 is built for deep reasoning and complex architectural analysis. When reviewing pull requests that involve significant logic changes, refactoring, or multi-file dependencies, Sonnet 4.6’s ability to maintain context and understand the ‘why’ behind a change is superior. It is better equipped to identify subtle bugs, security vulnerabilities, or architectural deviations that require more nuanced human-like judgment.

For many teams, the most effective strategy is a tiered approach. Use GPT-5.3 Codex Spark for high-volume, routine scans that require near-instant response times, and reserve Claude Sonnet 4.6 for complex, high-stakes reviews where reasoning capability outweighs raw speed. By tailoring your model choice to the specific nature of the diff—routine cleanup versus logic-heavy refactoring—you can optimize for both developer velocity and code quality without compromising on security or maintenance standards.

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.