Cost per 1K Tokens: GPT-5.3 Codex Spark vs Gemini 3.1 Pro for 10K Context Code Suggestions

GPT-5.3 Codex Spark vs Gemini 3.1 Pro
Complete Comparison: 10,000 input tokens × 2,000 output tokens
Comparison Mode
⚡ 90% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 90% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria GPT-5.3 Codex Spark
OpenAI
Gemini 3.1 Pro
Google
Calculation Results (Current Inputs) (90% cached)
Input Tokens 10,000 10,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.017500 (rounded ~ $0.02)Best $0.020000Worst
Output Cost $0.028000 (rounded ~ $0.03)Worst $0.024000 (rounded ~ $0.02)Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.031325 (rounded ~ $0.03) Most Expensive $0.027800 (rounded ~ $0.03) Best Value
Processing Time 12.78 seconds Fastest 31.68 seconds Slowest
Tokens per Second 1,000Fastest 400Slowest
Time to First Token 100ms Best 220ms Worst
Cost per 1K tokens $0.002610Worst $0.002317Best
Tokens per Dollar 383,081Worst Value 431,655Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.750000Best $2.000000Worst
Output Cost / 1M (Base) $14.000000Worst $12.000000Best
Input Cost / 1M (Optimized) $1.750000Best
Optimizations: No optimizations applied
$2.000000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $14.000000Worst
Optimizations: No optimizations applied
$12.000000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Video Support ✗ Not Supported ✓ Supported
Audio Support ✗ Not Supported ✓ Supported
Caching Support
90
✓ 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)
90%
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

$0.031325 Total Cost
$0.001750 Input Cost
$0.028000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
12,000Total Tokens
$0.002610Cost per 1K
383,081Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

12.78s Processing Time
1,000 Tokens/Second
100ms Time to First Token
952 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

$0.031325 (rounded ~ $0.03)
Total Cost
⚡ 90% Cached
👁️
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) $0.045500 (rounded ~ $0.05) Input: $0.017500 (rounded ~ $0.02)
Output: $0.028000 (rounded ~ $0.03)
Optimized Cost $0.031325 (rounded ~ $0.03) Input: $0.017500 (rounded ~ $0.02)
Output: $0.028000 (rounded ~ $0.03)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.014175 (rounded ~ $0.01) 31.2% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.017500 (rounded ~ $0.02)
  • Output Cost: $0.028000 (rounded ~ $0.03)
  • Total Cost: $0.031325 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.002610
  • Tokens per dollar: 383,081 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: 12.78 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 952 tokens/second (temperature-adjusted)

Best Use Cases

Compares specialized code models against versatile multimodal options for inline suggestionsconsidering reasoning depth and API integration for developer tools.

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 →

Gemini 3.1 Pro Google 2000000

$0.027800 (rounded ~ $0.03)
Total Cost
⚡ 90% Cached
👁️
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) $0.044000 (rounded ~ $0.04) Input: $0.020000
Output: $0.024000 (rounded ~ $0.02)
Optimized Cost $0.027800 (rounded ~ $0.03) Input: $0.020000
Output: $0.024000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.016200 (rounded ~ $0.02) 36.8% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.020000
  • Output Cost: $0.024000 (rounded ~ $0.02)
  • Total Cost: $0.027800 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.002317
  • Tokens per dollar: 431,655 tokens
  • Context Window: 2000000 tokens

Speed & Performance Analysis

With a processing speed of 400 tokens per second and 220ms time to first token:

  • Processing Time: 31.68 seconds
  • Latency: 220 milliseconds to first token
  • Base Throughput: 400 tokens/second
  • Effective Throughput: 381 tokens/second (temperature-adjusted)

Best Use Cases

Compares specialized code models against versatile multimodal options for inline suggestionsconsidering reasoning depth and API integration for developer tools.

Want this applied to YOUR actual stack?

This calculator shows the math for Gemini 3.1 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 →

✨ Market Recommendations AI Model Registry

← Back to GPT-5.3 Codex Spark
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 2,000
Cached Tokens: 90%
Rank AI Model & Provider Total Cost vs GPT-5.3 Codex Spark vs Gemini 3.1 Pro
🏆 DeepSeek V4 Flash
DeepSeek
 $0.000693 Best Value ↓ 97.8% cheaper ↓ 97.5% cheaper
🥈 Ministral 3 (14B)
Mistral AI
 $0.000780 ↓ 97.5% cheaper ↓ 97.2% cheaper
🥉 Mistral Small 3
Mistral AI
 $0.000790 ↓ 97.5% cheaper ↓ 97.2% cheaper
#4 Voxtral Small 24B
Mistral AI
 $0.000790 ↓ 97.5% cheaper ↓ 97.2% cheaper
#5 Devstral Small 2
Mistral AI
 $0.000790 ↓ 97.5% cheaper ↓ 97.2% cheaper
#6 Nemotron 3 Super
Mistral AI
 $0.002210 ↓ 92.9% cheaper ↓ 92.1% cheaper
#7 Devstral 2
Mistral AI
 $0.002560 ↓ 91.8% cheaper ↓ 90.8% cheaper
#8 DeepSeek V4 Pro
DeepSeek
 $0.002567 ↓ 91.8% cheaper ↓ 90.8% cheaper
#9 Grok Code Fast 1
xAI
 $0.003380 ↓ 89.2% cheaper ↓ 87.8% cheaper
#10 Gemini 3.1 Flash Lite
Google
 $0.003475 ↓ 88.9% cheaper ↓ 87.5% cheaper
#11 Mistral Large 3
Mistral AI
 $0.003950 ↓ 87.4% cheaper ↓ 85.8% cheaper
#12 Gemini 2.5 Flash
Google
 $0.005570 (rounded ~ $0.01) ↓ 82.2% cheaper ↓ 80% cheaper
#13 Gemini 3.1 Flash
Google
 $0.006950 (rounded ~ $0.01) ↓ 77.8% cheaper ↓ 75% cheaper
#14 Grok 4.3
xAI
 $0.007375 (rounded ~ $0.01) ↓ 76.5% cheaper ↓ 73.5% cheaper
#15 Kimi K2.5
Moonshot AI
 $0.007518 (rounded ~ $0.01) ↓ 76% cheaper ↓ 73% cheaper
#16 o4-mini Deep Research
OpenAI
 $0.009900 ↓ 68.4% cheaper ↓ 64.4% cheaper
#17 Kimi K2.6
Moonshot AI
 $0.010404 ↓ 66.8% cheaper ↓ 62.6% cheaper
#18 GPT-5.4 mini
OpenAI
 $0.010425 ↓ 66.7% cheaper ↓ 62.5% cheaper
#19 o4-mini
OpenAI
 $0.010890 ↓ 65.2% cheaper ↓ 60.8% cheaper
#20 Claude Haiku 4.5
Anthropic
 $0.011900 (rounded ~ $0.01) ↓ 62% cheaper ↓ 57.2% cheaper
#21 Magistral Medium
Mistral AI
 $0.013800 (rounded ~ $0.01) ↓ 55.9% cheaper ↓ 50.4% cheaper
#22 Grok 4.20 Beta
xAI
 $0.015800 (rounded ~ $0.02) ↓ 49.6% cheaper ↓ 43.2% cheaper
#23 Gemini 3.5 Flash
Google
 $0.020850 ↓ 33.4% cheaper ↓ 25% cheaper
#24 Gemini 2.5 Pro
Google
 $0.022375 (rounded ~ $0.02) ↓ 28.6% cheaper ↓ 19.5% cheaper
#25 Gemini 3.1 Pro
Google
 $0.027800 (rounded ~ $0.03) ↓ 11.3% cheaper Same price
#26 GPT-5.3 Instant
OpenAI
 $0.031325 (rounded ~ $0.03) Same price ↑ 12.7% more
#27 GPT-5.4
OpenAI
 $0.034750 (rounded ~ $0.03) ↑ 10.9% more ↑ 25% more
#28 GPT-5.4 Thinking
OpenAI
 $0.034750 (rounded ~ $0.03) ↑ 10.9% more ↑ 25% more
#29 Claude Sonnet 4.6
Anthropic
 $0.035700 (rounded ~ $0.04) ↑ 14% more ↑ 28.4% more
#30 Claude Opus 4.7
Anthropic
 $0.059500 ↑ 89.9% more ↑ 114% more
#31 Claude Opus 4.8
Anthropic
 $0.059500 ↑ 89.9% more ↑ 114% more
#32 Claude Opus 4.6
Anthropic
 $0.059500 ↑ 89.9% more ↑ 114% more
#33 GPT-5.5
OpenAI
 $0.069500 ↑ 121.9% more ↑ 150% more
#34 GPT-5.5 Instant
OpenAI
 $0.069500 ↑ 121.9% more ↑ 150% more
#35 o3 Deep Research
OpenAI
 $0.099000 (rounded ~ $0.10) ↑ 216% more ↑ 256.1% more
#36 o3 Pro
OpenAI
 $0.198000 (rounded ~ $0.20) ↑ 532.1% more ↑ 612.2% more
#37 GPT-5.2 Pro
OpenAI
 $0.375900 (rounded ~ $0.38) ↑ 1100% more ↑ 1252.2% more
#38 GPT-5.2 Pro
OpenAI
 $0.375900 (rounded ~ $0.38) ↑ 1100% more ↑ 1252.2% more
🏆

DeepSeek V4 Flash
DeepSeek

$0.000693
vs GPT-5.3 Codex Spark: ↓ 97.8%
vs Gemini 3.1 Pro: ↓ 97.5%
🥈

Ministral 3 (14B)
Mistral AI

$0.000780
vs GPT-5.3 Codex Spark: ↓ 97.5%
vs Gemini 3.1 Pro: ↓ 97.2%
🥉

Mistral Small 3
Mistral AI

$0.000790
vs GPT-5.3 Codex Spark: ↓ 97.5%
vs Gemini 3.1 Pro: ↓ 97.2%
#4

Voxtral Small 24B
Mistral AI

$0.000790
vs GPT-5.3 Codex Spark: ↓ 97.5%
vs Gemini 3.1 Pro: ↓ 97.2%
#5

Devstral Small 2
Mistral AI

$0.000790
vs GPT-5.3 Codex Spark: ↓ 97.5%
vs Gemini 3.1 Pro: ↓ 97.2%
#6

Nemotron 3 Super
Mistral AI

$0.002210
vs GPT-5.3 Codex Spark: ↓ 92.9%
vs Gemini 3.1 Pro: ↓ 92.1%
#7

Devstral 2
Mistral AI

$0.002560
vs GPT-5.3 Codex Spark: ↓ 91.8%
vs Gemini 3.1 Pro: ↓ 90.8%
#8

DeepSeek V4 Pro
DeepSeek

$0.002567
vs GPT-5.3 Codex Spark: ↓ 91.8%
vs Gemini 3.1 Pro: ↓ 90.8%
#9

Grok Code Fast 1
xAI

$0.003380
vs GPT-5.3 Codex Spark: ↓ 89.2%
vs Gemini 3.1 Pro: ↓ 87.8%
#10

Gemini 3.1 Flash Lite
Google

$0.003475
vs GPT-5.3 Codex Spark: ↓ 88.9%
vs Gemini 3.1 Pro: ↓ 87.5%
#11

Mistral Large 3
Mistral AI

$0.003950
vs GPT-5.3 Codex Spark: ↓ 87.4%
vs Gemini 3.1 Pro: ↓ 85.8%
#12

Gemini 2.5 Flash
Google

$0.005570 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 82.2%
vs Gemini 3.1 Pro: ↓ 80%
#13

Gemini 3.1 Flash
Google

$0.006950 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 77.8%
vs Gemini 3.1 Pro: ↓ 75%
#14

Grok 4.3
xAI

$0.007375 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 76.5%
vs Gemini 3.1 Pro: ↓ 73.5%
#15

Kimi K2.5
Moonshot AI

$0.007518 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 76%
vs Gemini 3.1 Pro: ↓ 73%
#16

o4-mini Deep Research
OpenAI

$0.009900
vs GPT-5.3 Codex Spark: ↓ 68.4%
vs Gemini 3.1 Pro: ↓ 64.4%
#17

Kimi K2.6
Moonshot AI

$0.010404
vs GPT-5.3 Codex Spark: ↓ 66.8%
vs Gemini 3.1 Pro: ↓ 62.6%
#18

GPT-5.4 mini
OpenAI

$0.010425
vs GPT-5.3 Codex Spark: ↓ 66.7%
vs Gemini 3.1 Pro: ↓ 62.5%
#19

o4-mini
OpenAI

$0.010890
vs GPT-5.3 Codex Spark: ↓ 65.2%
vs Gemini 3.1 Pro: ↓ 60.8%
#20

Claude Haiku 4.5
Anthropic

$0.011900 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 62%
vs Gemini 3.1 Pro: ↓ 57.2%
#21

Magistral Medium
Mistral AI

$0.013800 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 55.9%
vs Gemini 3.1 Pro: ↓ 50.4%
#22

Grok 4.20 Beta
xAI

$0.015800 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 49.6%
vs Gemini 3.1 Pro: ↓ 43.2%
#23

Gemini 3.5 Flash
Google

$0.020850
vs GPT-5.3 Codex Spark: ↓ 33.4%
vs Gemini 3.1 Pro: ↓ 25%
#24

Gemini 2.5 Pro
Google

$0.022375 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 28.6%
vs Gemini 3.1 Pro: ↓ 19.5%
#25

Gemini 3.1 Pro
Google

$0.027800 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↓ 11.3%
vs Gemini 3.1 Pro: Same
#26

GPT-5.3 Instant
OpenAI

$0.031325 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: Same
vs Gemini 3.1 Pro: ↑ 12.7%
#27

GPT-5.4
OpenAI

$0.034750 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 10.9%
vs Gemini 3.1 Pro: ↑ 25%
#28

GPT-5.4 Thinking
OpenAI

$0.034750 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 10.9%
vs Gemini 3.1 Pro: ↑ 25%
#29

Claude Sonnet 4.6
Anthropic

$0.035700 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↑ 14%
vs Gemini 3.1 Pro: ↑ 28.4%
#30

Claude Opus 4.7
Anthropic

$0.059500
vs GPT-5.3 Codex Spark: ↑ 89.9%
vs Gemini 3.1 Pro: ↑ 114%
#31

Claude Opus 4.8
Anthropic

$0.059500
vs GPT-5.3 Codex Spark: ↑ 89.9%
vs Gemini 3.1 Pro: ↑ 114%
#32

Claude Opus 4.6
Anthropic

$0.059500
vs GPT-5.3 Codex Spark: ↑ 89.9%
vs Gemini 3.1 Pro: ↑ 114%
#33

GPT-5.5
OpenAI

$0.069500
vs GPT-5.3 Codex Spark: ↑ 121.9%
vs Gemini 3.1 Pro: ↑ 150%
#34

GPT-5.5 Instant
OpenAI

$0.069500
vs GPT-5.3 Codex Spark: ↑ 121.9%
vs Gemini 3.1 Pro: ↑ 150%
#35

o3 Deep Research
OpenAI

$0.099000 (rounded ~ $0.10)
vs GPT-5.3 Codex Spark: ↑ 216%
vs Gemini 3.1 Pro: ↑ 256.1%
#36

o3 Pro
OpenAI

$0.198000 (rounded ~ $0.20)
vs GPT-5.3 Codex Spark: ↑ 532.1%
vs Gemini 3.1 Pro: ↑ 612.2%
#37

GPT-5.2 Pro
OpenAI

$0.375900 (rounded ~ $0.38)
vs GPT-5.3 Codex Spark: ↑ 1100%
vs Gemini 3.1 Pro: ↑ 1252.2%
#38

GPT-5.2 Pro
OpenAI

$0.375900 (rounded ~ $0.38)
vs GPT-5.3 Codex Spark: ↑ 1100%
vs Gemini 3.1 Pro: ↑ 1252.2%
✨ 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.

GPT-5.3 Codex Spark vs. Gemini 3.1 Pro for Code IDEs

When equipping developers with AI-powered inline code suggestions, translation agencies face a choice between specialized code models and versatile multimodal platforms. This comparison highlights GPT-5.3 Codex Spark, OpenAI’s dedicated code generation model, against Google’s Gemini 3.1 Pro, a powerful multimodal AI. Both can handle the 10K context typically required for effective IDE suggestions, but their underlying strengths differ significantly.

GPT-5.3 Codex Spark is fine-tuned for code, potentially offering greater accuracy and efficiency for pure coding tasks. It understands programming languages and common coding patterns deeply. Gemini 3.1 Pro, on the other hand, boasts a larger context window and multimodal capabilities, which could be advantageous if the IDE integration needs to understand surrounding documentation, error messages, or even visual elements in the future.

For agencies focused purely on code completion, Codex Spark might be the more direct and cost-effective choice. However, if the vision includes broader AI assistance that might extend beyond text-based code, Gemini 3.1 Pro offers more flexibility. Evaluating factors like specialized versus general intelligence, API integration ease, and potential for future feature expansion will guide your selection.

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.