GPT-5.3 Codex Spark vs Devstral 2 for 10K-Token Inline Code Suggestions

GPT-5.3 Codex Spark vs Devstral 2
Complete Comparison: 10,000 input tokens × 500 output tokens
Comparison Mode
⚡ 40% Cached

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

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria GPT-5.3 Codex Spark
OpenAI
Devstral 2
Mistral AI
Calculation Results (Current Inputs) (40% cached)
Input Tokens 10,000 10,000
Output Tokens 500 500
Cost Breakdown
Input Cost $0.017500 (rounded ~ $0.02)Worst $0.004000Best
Output Cost $0.007000 (rounded ~ $0.01)Worst $0.000450Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.018200 (rounded ~ $0.02) Most Expensive $0.003010 Best Value
Processing Time 10.89 seconds Fastest 23.98 seconds Slowest
Tokens per Second 1,000Fastest 450Slowest
Time to First Token 100ms Best 180ms Worst
Cost per 1K tokens $0.001733Worst $0.000287Best
Tokens per Dollar 576,923Worst Value 3,488,372Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $1.750000Worst $0.400000Best
Output Cost / 1M (Base) $14.000000Worst $0.900000Best
Input Cost / 1M (Optimized) $1.750000Worst
Optimizations: No optimizations applied
$0.400000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $14.000000Worst
Optimizations: No optimizations applied
$0.900000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not 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

1

First Model

2

Second Model

Select providers and models above, then click "Compare Models" to update the comparison.
All other parameters will be preserved from the current comparison.

Click Recalculate to update after making changes

Select AI Model

GPT-5.3 Codex Spark
OpenAIMax Context: 200,000 tokens
$1.75 / $14 per 1M tokens
▼
▼
Use Batch API (50% discount)
40%
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

$0.018200 Total Cost
$0.010500 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
10,500Total Tokens
$0.001733Cost per 1K
576,923Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

10.89s 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

$0.018200 (rounded ~ $0.02)
Total Cost
⚡ 40% 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) $0.024500 (rounded ~ $0.02) Input: $0.017500 (rounded ~ $0.02)
Output: $0.007000 (rounded ~ $0.01)
Optimized Cost $0.018200 (rounded ~ $0.02) Input: $0.017500 (rounded ~ $0.02)
Output: $0.007000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.006300 (rounded ~ $0.01) 25.7% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.017500 (rounded ~ $0.02)
  • Output Cost: $0.007000 (rounded ~ $0.01)
  • Total Cost: $0.018200 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.001733
  • Tokens per dollar: 576,923 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: 10.89 seconds
  • Latency: 100 milliseconds to first token
  • Base Throughput: 1,000 tokens/second
  • Effective Throughput: 980 tokens/second (temperature-adjusted)

Best Use Cases

GPT-5.3 Codex Spark is best for complex architectural generation and debuggingwhile Devstral 2 is the premier choice for low-latencyreal-time code completion.

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 →

Devstral 2 Mistral AI

$0.003010
Total Cost
⚡ 40% Cached
👁️
Vision/Images
✗ Not 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) $0.004450 Input: $0.004000
Output: $0.000450
Optimized Cost $0.003010 Input: $0.004000
Output: $0.000450
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001440 32.4% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.004000
  • Output Cost: $0.000450
  • Total Cost: $0.003010
  • Cost per 1K tokens: $0.000287
  • Tokens per dollar: 3,488,372 tokens
  • Context Window: 256000 tokens

Speed & Performance Analysis

With a processing speed of 450 tokens per second and 180ms time to first token:

  • Processing Time: 23.98 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 441 tokens/second (temperature-adjusted)

Best Use Cases

GPT-5.3 Codex Spark is best for complex architectural generation and debuggingwhile Devstral 2 is the premier choice for low-latencyreal-time code completion.

Want this applied to YOUR actual stack?

This calculator shows the math for Devstral 2. 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: 500
Cached Tokens: 40%
Rank AI Model & Provider Total Cost vs GPT-5.3 Codex Spark vs Devstral 2
🏆 Mistral Small 3
Mistral AI
 $0.000790 Best Value ↓ 95.7% cheaper ↓ 73.8% cheaper
🥈 Voxtral Small 24B
Mistral AI
 $0.000790 ↓ 95.7% cheaper ↓ 73.8% cheaper
🥉 Devstral Small 2
Mistral AI
 $0.000790 ↓ 95.7% cheaper ↓ 73.8% cheaper
#4 DeepSeek V4 Flash
DeepSeek
 $0.000991 ↓ 94.6% cheaper ↓ 67.1% cheaper
#5 Ministral 3 (14B)
Mistral AI
 $0.001380 ↓ 92.4% cheaper ↓ 54.2% cheaper
#6 Grok Code Fast 1
xAI
 $0.002030 ↓ 88.8% cheaper ↓ 32.6% cheaper
#7 Nemotron 3 Super
NVIDIA
 $0.002330 ↓ 87.2% cheaper ↓ 22.6% cheaper
#8 Gemini 3.1 Flash Lite
Google
 $0.002350 ↓ 87.1% cheaper ↓ 21.9% cheaper
#9 Devstral 2
Mistral AI
 $0.003010 ↓ 83.5% cheaper Same price
#10 DeepSeek V4 Pro
DeepSeek
 $0.003080 ↓ 83.1% cheaper ↑ 2.3% more
#11 Gemini 3.5 Flash-Lite
Google
 $0.003170 ↓ 82.6% cheaper ↑ 5.3% more
#12 Gemini 2.5 Flash
Google
 $0.003170 ↓ 82.6% cheaper ↑ 5.3% more
#13 Mistral Large 3
Mistral AI
 $0.003950 ↓ 78.3% cheaper ↑ 31.2% more
#14 Gemini 3.1 Flash
Google
 $0.004700 ↓ 74.2% cheaper ↑ 56.1% more
#15 Kimi K2.5
Moonshot AI
 $0.005508 (rounded ~ $0.01) ↓ 69.7% cheaper ↑ 83% more
#16 Gemini 3.8 Flash
Google
 $0.006675 (rounded ~ $0.01) ↓ 63.3% cheaper ↑ 121.8% more
#17 GPT-5.4 mini
OpenAI
 $0.007050 (rounded ~ $0.01) ↓ 61.3% cheaper ↑ 134.2% more
#18 Grok Build 0.1
xAI
 $0.007400 (rounded ~ $0.01) ↓ 59.3% cheaper ↑ 145.8% more
#19 Kimi K2.6
Moonshot AI
 $0.008346 (rounded ~ $0.01) ↓ 54.1% cheaper ↑ 177.3% more
#20 Kimi K2.7 Code
Moonshot AI
 $0.008346 (rounded ~ $0.01) ↓ 54.1% cheaper ↑ 177.3% more
#21 o4-mini Deep Research
OpenAI
 $0.008400 (rounded ~ $0.01) ↓ 53.8% cheaper ↑ 179.1% more
#22 Claude Haiku 4.5
Anthropic
 $0.008900 (rounded ~ $0.01) ↓ 51.1% cheaper ↑ 195.7% more
#23 o4-mini
OpenAI
 $0.009240 ↓ 49.2% cheaper ↑ 207% more
#24 Grok 4.3
xAI
 $0.009250 ↓ 49.2% cheaper ↑ 207.3% more
#25 Grok 4.20 Beta
xAI
 $0.009250 ↓ 49.2% cheaper ↑ 207.3% more
#26 GPT-5.6 Luna
OpenAI
 $0.009400 ↓ 48.4% cheaper ↑ 212.3% more
#27 Gemini 2.5 Pro
Google
 $0.013000 (rounded ~ $0.01) ↓ 28.6% cheaper ↑ 331.9% more
#28 Gemini 3.6 Flash
Google
 $0.013350 (rounded ~ $0.01) ↓ 26.6% cheaper ↑ 343.5% more
#29 Gemini 3.5 Flash
Google
 $0.014100 (rounded ~ $0.01) ↓ 22.5% cheaper ↑ 368.4% more
#30 Magistral Medium
Mistral AI
 $0.015300 (rounded ~ $0.02) ↓ 15.9% cheaper ↑ 408.3% more
#31 Grok 4.6
xAI
 $0.015800 (rounded ~ $0.02) ↓ 13.2% cheaper ↑ 424.9% more
#32 Grok 4.5
xAI
 $0.015800 (rounded ~ $0.02) ↓ 13.2% cheaper ↑ 424.9% more
#33 Claude Sonnet 5
Anthropic
 $0.017800 (rounded ~ $0.02) ↓ 2.2% cheaper ↑ 491.4% more
#34 GPT-5.3 Instant
OpenAI
 $0.018200 (rounded ~ $0.02) Same price ↑ 504.7% more
#35 Gemini 3.1 Pro
Google
 $0.018800 (rounded ~ $0.02) ↑ 3.3% more ↑ 524.6% more
#36 GPT-5.4
OpenAI
 $0.023500 (rounded ~ $0.02) ↑ 29.1% more ↑ 680.7% more
#37 GPT-5.4 Thinking
OpenAI
 $0.023500 (rounded ~ $0.02) ↑ 29.1% more ↑ 680.7% more
#38 GPT-5.6 Terra
OpenAI
 $0.023500 (rounded ~ $0.02) ↑ 29.1% more ↑ 680.7% more
#39 Claude Sonnet 4.6
Anthropic
 $0.026700 (rounded ~ $0.03) ↑ 46.7% more ↑ 787% more
#40 Claude Opus 4.7
Anthropic
 $0.044500 (rounded ~ $0.04) ↑ 144.5% more ↑ 1378.4% more
#41 Claude Opus 5
Anthropic
 $0.044500 (rounded ~ $0.04) ↑ 144.5% more ↑ 1378.4% more
#42 Claude Opus 4.8
Anthropic
 $0.044500 (rounded ~ $0.04) ↑ 144.5% more ↑ 1378.4% more
#43 Claude Opus 4.6
Anthropic
 $0.044500 (rounded ~ $0.04) ↑ 144.5% more ↑ 1378.4% more
#44 GPT-5.5
OpenAI
 $0.047000 (rounded ~ $0.05) ↑ 158.2% more ↑ 1461.5% more
#45 GPT-5.5 Instant
OpenAI
 $0.047000 (rounded ~ $0.05) ↑ 158.2% more ↑ 1461.5% more
#46 GPT-5.6 Sol
OpenAI
 $0.047000 (rounded ~ $0.05) ↑ 158.2% more ↑ 1461.5% more
#47 o3 Deep Research
OpenAI
 $0.084000 (rounded ~ $0.08) ↑ 361.5% more ↑ 2690.7% more
#48 Claude Fable 5.1
Anthropic
 $0.086000 (rounded ~ $0.09) ↑ 372.5% more ↑ 2757.1% more
#49 Claude Mythos 5.1
Anthropic
 $0.086000 (rounded ~ $0.09) ↑ 372.5% more ↑ 2757.1% more
#50 Claude Fable 5
Anthropic
 $0.089000 (rounded ~ $0.09) ↑ 389% more ↑ 2856.8% more
#51 Claude Mythos 5
Anthropic
 $0.089000 (rounded ~ $0.09) ↑ 389% more ↑ 2856.8% more
#52 GPT-6 Astra
OpenAI
 $0.089000 (rounded ~ $0.09) ↑ 389% more ↑ 2856.8% more
#53 o3 Pro
OpenAI
 $0.168000 (rounded ~ $0.17) ↑ 823.1% more ↑ 5481.4% more
#54 GPT-5.2 Pro
OpenAI
 $0.218400 (rounded ~ $0.22) ↑ 1100% more ↑ 7155.8% more
#55 GPT-5.2 Pro
OpenAI
 $0.218400 (rounded ~ $0.22) ↑ 1100% more ↑ 7155.8% more
🏆

Mistral Small 3
Mistral AI

$0.000790
vs GPT-5.3 Codex Spark: ↓ 95.7%
vs Devstral 2: ↓ 73.8%
🥈

Voxtral Small 24B
Mistral AI

$0.000790
vs GPT-5.3 Codex Spark: ↓ 95.7%
vs Devstral 2: ↓ 73.8%
🥉

Devstral Small 2
Mistral AI

$0.000790
vs GPT-5.3 Codex Spark: ↓ 95.7%
vs Devstral 2: ↓ 73.8%
#4

DeepSeek V4 Flash
DeepSeek

$0.000991
vs GPT-5.3 Codex Spark: ↓ 94.6%
vs Devstral 2: ↓ 67.1%
#5

Ministral 3 (14B)
Mistral AI

$0.001380
vs GPT-5.3 Codex Spark: ↓ 92.4%
vs Devstral 2: ↓ 54.2%
#6

Grok Code Fast 1
xAI

$0.002030
vs GPT-5.3 Codex Spark: ↓ 88.8%
vs Devstral 2: ↓ 32.6%
#7

Nemotron 3 Super
NVIDIA

$0.002330
vs GPT-5.3 Codex Spark: ↓ 87.2%
vs Devstral 2: ↓ 22.6%
#8

Gemini 3.1 Flash Lite
Google

$0.002350
vs GPT-5.3 Codex Spark: ↓ 87.1%
vs Devstral 2: ↓ 21.9%
#9

Devstral 2
Mistral AI

$0.003010
vs GPT-5.3 Codex Spark: ↓ 83.5%
vs Devstral 2: Same
#10

DeepSeek V4 Pro
DeepSeek

$0.003080
vs GPT-5.3 Codex Spark: ↓ 83.1%
vs Devstral 2: ↑ 2.3%
#11

Gemini 3.5 Flash-Lite
Google

$0.003170
vs GPT-5.3 Codex Spark: ↓ 82.6%
vs Devstral 2: ↑ 5.3%
#12

Gemini 2.5 Flash
Google

$0.003170
vs GPT-5.3 Codex Spark: ↓ 82.6%
vs Devstral 2: ↑ 5.3%
#13

Mistral Large 3
Mistral AI

$0.003950
vs GPT-5.3 Codex Spark: ↓ 78.3%
vs Devstral 2: ↑ 31.2%
#14

Gemini 3.1 Flash
Google

$0.004700
vs GPT-5.3 Codex Spark: ↓ 74.2%
vs Devstral 2: ↑ 56.1%
#15

Kimi K2.5
Moonshot AI

$0.005508 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 69.7%
vs Devstral 2: ↑ 83%
#16

Gemini 3.8 Flash
Google

$0.006675 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 63.3%
vs Devstral 2: ↑ 121.8%
#17

GPT-5.4 mini
OpenAI

$0.007050 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 61.3%
vs Devstral 2: ↑ 134.2%
#18

Grok Build 0.1
xAI

$0.007400 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 59.3%
vs Devstral 2: ↑ 145.8%
#19

Kimi K2.6
Moonshot AI

$0.008346 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 54.1%
vs Devstral 2: ↑ 177.3%
#20

Kimi K2.7 Code
Moonshot AI

$0.008346 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 54.1%
vs Devstral 2: ↑ 177.3%
#21

o4-mini Deep Research
OpenAI

$0.008400 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 53.8%
vs Devstral 2: ↑ 179.1%
#22

Claude Haiku 4.5
Anthropic

$0.008900 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 51.1%
vs Devstral 2: ↑ 195.7%
#23

o4-mini
OpenAI

$0.009240
vs GPT-5.3 Codex Spark: ↓ 49.2%
vs Devstral 2: ↑ 207%
#24

Grok 4.3
xAI

$0.009250
vs GPT-5.3 Codex Spark: ↓ 49.2%
vs Devstral 2: ↑ 207.3%
#25

Grok 4.20 Beta
xAI

$0.009250
vs GPT-5.3 Codex Spark: ↓ 49.2%
vs Devstral 2: ↑ 207.3%
#26

GPT-5.6 Luna
OpenAI

$0.009400
vs GPT-5.3 Codex Spark: ↓ 48.4%
vs Devstral 2: ↑ 212.3%
#27

Gemini 2.5 Pro
Google

$0.013000 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 28.6%
vs Devstral 2: ↑ 331.9%
#28

Gemini 3.6 Flash
Google

$0.013350 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 26.6%
vs Devstral 2: ↑ 343.5%
#29

Gemini 3.5 Flash
Google

$0.014100 (rounded ~ $0.01)
vs GPT-5.3 Codex Spark: ↓ 22.5%
vs Devstral 2: ↑ 368.4%
#30

Magistral Medium
Mistral AI

$0.015300 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 15.9%
vs Devstral 2: ↑ 408.3%
#31

Grok 4.6
xAI

$0.015800 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 13.2%
vs Devstral 2: ↑ 424.9%
#32

Grok 4.5
xAI

$0.015800 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 13.2%
vs Devstral 2: ↑ 424.9%
#33

Claude Sonnet 5
Anthropic

$0.017800 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↓ 2.2%
vs Devstral 2: ↑ 491.4%
#34

GPT-5.3 Instant
OpenAI

$0.018200 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: Same
vs Devstral 2: ↑ 504.7%
#35

Gemini 3.1 Pro
Google

$0.018800 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 3.3%
vs Devstral 2: ↑ 524.6%
#36

GPT-5.4
OpenAI

$0.023500 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 29.1%
vs Devstral 2: ↑ 680.7%
#37

GPT-5.4 Thinking
OpenAI

$0.023500 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 29.1%
vs Devstral 2: ↑ 680.7%
#38

GPT-5.6 Terra
OpenAI

$0.023500 (rounded ~ $0.02)
vs GPT-5.3 Codex Spark: ↑ 29.1%
vs Devstral 2: ↑ 680.7%
#39

Claude Sonnet 4.6
Anthropic

$0.026700 (rounded ~ $0.03)
vs GPT-5.3 Codex Spark: ↑ 46.7%
vs Devstral 2: ↑ 787%
#40

Claude Opus 4.7
Anthropic

$0.044500 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↑ 144.5%
vs Devstral 2: ↑ 1378.4%
#41

Claude Opus 5
Anthropic

$0.044500 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↑ 144.5%
vs Devstral 2: ↑ 1378.4%
#42

Claude Opus 4.8
Anthropic

$0.044500 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↑ 144.5%
vs Devstral 2: ↑ 1378.4%
#43

Claude Opus 4.6
Anthropic

$0.044500 (rounded ~ $0.04)
vs GPT-5.3 Codex Spark: ↑ 144.5%
vs Devstral 2: ↑ 1378.4%
#44

GPT-5.5
OpenAI

$0.047000 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↑ 158.2%
vs Devstral 2: ↑ 1461.5%
#45

GPT-5.5 Instant
OpenAI

$0.047000 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↑ 158.2%
vs Devstral 2: ↑ 1461.5%
#46

GPT-5.6 Sol
OpenAI

$0.047000 (rounded ~ $0.05)
vs GPT-5.3 Codex Spark: ↑ 158.2%
vs Devstral 2: ↑ 1461.5%
#47

o3 Deep Research
OpenAI

$0.084000 (rounded ~ $0.08)
vs GPT-5.3 Codex Spark: ↑ 361.5%
vs Devstral 2: ↑ 2690.7%
#48

Claude Fable 5.1
Anthropic

$0.086000 (rounded ~ $0.09)
vs GPT-5.3 Codex Spark: ↑ 372.5%
vs Devstral 2: ↑ 2757.1%
#49

Claude Mythos 5.1
Anthropic

$0.086000 (rounded ~ $0.09)
vs GPT-5.3 Codex Spark: ↑ 372.5%
vs Devstral 2: ↑ 2757.1%
#50

Claude Fable 5
Anthropic

$0.089000 (rounded ~ $0.09)
vs GPT-5.3 Codex Spark: ↑ 389%
vs Devstral 2: ↑ 2856.8%
#51

Claude Mythos 5
Anthropic

$0.089000 (rounded ~ $0.09)
vs GPT-5.3 Codex Spark: ↑ 389%
vs Devstral 2: ↑ 2856.8%
#52

GPT-6 Astra
OpenAI

$0.089000 (rounded ~ $0.09)
vs GPT-5.3 Codex Spark: ↑ 389%
vs Devstral 2: ↑ 2856.8%
#53

o3 Pro
OpenAI

$0.168000 (rounded ~ $0.17)
vs GPT-5.3 Codex Spark: ↑ 823.1%
vs Devstral 2: ↑ 5481.4%
#54

GPT-5.2 Pro
OpenAI

$0.218400 (rounded ~ $0.22)
vs GPT-5.3 Codex Spark: ↑ 1100%
vs Devstral 2: ↑ 7155.8%
#55

GPT-5.2 Pro
OpenAI

$0.218400 (rounded ~ $0.22)
vs GPT-5.3 Codex Spark: ↑ 1100%
vs Devstral 2: ↑ 7155.8%
✨ 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.

Optimizing Inline Coding Assistants

For EdTech product managers building code generation IDEs, the choice between models often hinges on balancing raw reasoning capability against the strict latency requirements of real-time autocomplete. When handling 10K-token inline suggestions, the performance characteristics of your underlying model directly impact the perceived fluidity of the developer experience.

GPT-5.3 Codex Spark is engineered for high-stakes coding environments where correctness and complex architectural understanding are the primary constraints. It excels at generating multi-line, logically dense completions that adhere to strict style guides, making it an excellent choice for educational platforms focusing on advanced software engineering or systems architecture. Its strength lies in its ability to maintain consistency across long-form code generation, though this deep reasoning comes at the cost of slightly higher latency during the initial suggestion phase.

Devstral 2, by contrast, is optimized for high-throughput, latency-sensitive workflows. It is purpose-built to provide near-instantaneous feedback, making it ideal for the rapid-fire autocomplete and boilerplate generation typical of K-12 or beginner-focused coding environments. Where Devstral 2 shines is in its responsiveness; it minimizes the “waiting time” that often leads to friction in IDE-based learning tools. However, it may require tighter prompt engineering or supporting tools when the task shifts from simple code completion to complex refactoring or architectural design.

For your product, consider the user journey: if your learners primarily need rapid, iterative feedback to maintain flow, the responsiveness of Devstral 2 is a significant advantage. If your platform challenges students to build and debug complex applications, the reasoning depth of GPT-5.3 Codex Spark provides a more robust scaffolding for their learning process.

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.

Related model pricing

GPT-5.3 Codex Spark currently costs $1.75 / $14.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

Compare across providers

Other models from the same provider

See every tracked AI pricing change →