Devstral 2 vs GPT-5.3 Codex Spark for 10,000-Token Coding IDE Context

Devstral 2 vs GPT-5.3 Codex Spark
Complete Comparison: 10,000 input tokens × 500 output tokens
Comparison Mode
⚡ 20% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 20% Cached.

⚡ Caching Optimized (up to 90% savings)
Comparison Criteria Devstral 2
Mistral AI
GPT-5.3 Codex Spark
OpenAI
Calculation Results (Current Inputs) (20% cached)
Input Tokens 10,000 10,000
Output Tokens 500 500
Cost Breakdown
Input Cost $0.004000Best $0.017500 (rounded ~ $0.02)Worst
Output Cost $0.000450Best $0.007000 (rounded ~ $0.01)Worst
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.003730 Best Value $0.021350 (rounded ~ $0.02) Most Expensive
Processing Time 23.98 seconds Slowest 10.89 seconds Fastest
Tokens per Second 450Slowest 1,000Fastest
Time to First Token 180ms Worst 100ms Best
Cost per 1K tokens $0.000355Best $0.002033Worst
Tokens per Dollar 2,815,013Best Value 491,803Worst Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.400000Best $1.750000Worst
Output Cost / 1M (Base) $0.900000Best $14.000000Worst
Input Cost / 1M (Optimized) $0.400000Best
Optimizations: No optimizations applied
$1.750000Worst
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $0.900000Best
Optimizations: No optimizations applied
$14.000000Worst
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
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Select AI Model

Devstral 2
Mistral AIMax Context: 256,000 tokens
$0.4 / $0.9 per 1M tokens
▼
▼
Use Batch API (50% discount)
20%
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

$0.003730 Total Cost
$0.003200 Input Cost
$0.000450 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
$0.000355Cost per 1K
2,815,013Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

23.98s Processing Time
450 Tokens/Second
180ms Time to First Token
441 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.

Devstral 2 Mistral AI

$0.003730
Total Cost
⚡ 20% 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 $0.003730 Input: $0.004000
Output: $0.000450
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000720 16.2% 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: $0.003730
  • Cost per 1K tokens: $0.000355
  • Tokens per dollar: 2,815,013 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

Devstral 2 is best for complexmulti-file agentic tasks; Codex Spark is ideal for ultra-fastreal-time coding iterations.

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.

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GPT-5.3 Codex Spark OpenAI

$0.021350 (rounded ~ $0.02)
Total Cost
⚡ 20% 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 $0.021350 (rounded ~ $0.02) Input: $0.017500 (rounded ~ $0.02)
Output: $0.007000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.003150 12.9% 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: $0.021350 (rounded ~ $0.02)
  • Cost per 1K tokens: $0.002033
  • Tokens per dollar: 491,803 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

Devstral 2 is best for complexmulti-file agentic tasks; Codex Spark is ideal for ultra-fastreal-time coding iterations.

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 Devstral 2
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 500
Cached Tokens: 20%
Rank AI Model & Provider Total Cost vs Devstral 2 vs GPT-5.3 Codex Spark
🏆 DeepSeek V4 Flash
DeepSeek
 $0.000714 Best Value ↓ 80.9% cheaper ↓ 96.7% cheaper
🥈 Mistral Small 3
Mistral AI
 $0.000970 ↓ 74% cheaper ↓ 95.5% cheaper
🥉 Voxtral Small 24B
Mistral AI
 $0.000970 ↓ 74% cheaper ↓ 95.5% cheaper
#4 Devstral Small 2
Mistral AI
 $0.000970 ↓ 74% cheaper ↓ 95.5% cheaper
#5 Ministral 3 (14B)
Mistral AI
 $0.001740 ↓ 53.4% cheaper ↓ 91.9% cheaper
#6 Grok Code Fast 1
xAI
 $0.002390 ↓ 35.9% cheaper ↓ 88.8% cheaper
#7 Gemini 3.1 Flash Lite
Google
 $0.002800 ↓ 24.9% cheaper ↓ 86.9% cheaper
#8 Nemotron 3 Super
Mistral AI
 $0.002870 ↓ 23.1% cheaper ↓ 86.6% cheaper
#9 Gemini 2.5 Flash
Google
 $0.003710 ↓ 0.5% cheaper ↓ 82.6% cheaper
#10 DeepSeek V4 Pro
DeepSeek
 $0.004002 ↑ 7.3% more ↓ 81.3% cheaper
#11 Mistral Large 3
Mistral AI
 $0.004850 ↑ 30% more ↓ 77.3% cheaper
#12 Gemini 3.1 Flash
Google
 $0.005600 (rounded ~ $0.01) ↑ 50.1% more ↓ 73.8% cheaper
#13 Kimi K2.5
Moonshot AI
 $0.006504 (rounded ~ $0.01) ↑ 74.4% more ↓ 69.5% cheaper
#14 GPT-5.4 mini
OpenAI
 $0.008400 (rounded ~ $0.01) ↑ 125.2% more ↓ 60.7% cheaper
#15 Kimi K2.6
Moonshot AI
 $0.009923 ↑ 166% more ↓ 53.5% cheaper
#16 o4-mini Deep Research
OpenAI
 $0.010200 ↑ 173.5% more ↓ 52.2% cheaper
#17 Claude Haiku 4.5
Anthropic
 $0.010700 ↑ 186.9% more ↓ 49.9% cheaper
#18 o4-mini
OpenAI
 $0.011220 (rounded ~ $0.01) ↑ 200.8% more ↓ 47.4% cheaper
#19 Grok 4.3
xAI
 $0.011500 (rounded ~ $0.01) ↑ 208.3% more ↓ 46.1% cheaper
#20 Gemini 2.5 Pro
Google
 $0.015250 (rounded ~ $0.02) ↑ 308.8% more ↓ 28.6% cheaper
#21 Gemini 3.5 Flash
Google
 $0.016800 (rounded ~ $0.02) ↑ 350.4% more ↓ 21.3% cheaper
#22 Magistral Medium
Mistral AI
 $0.018900 (rounded ~ $0.02) ↑ 406.7% more ↓ 11.5% cheaper
#23 Grok 4.20 Beta
xAI
 $0.019400 ↑ 420.1% more ↓ 9.1% cheaper
#24 GPT-5.3 Codex Spark
OpenAI
 $0.021350 (rounded ~ $0.02) ↑ 472.4% more Same price
#25 GPT-5.3 Instant
OpenAI
 $0.021350 (rounded ~ $0.02) ↑ 472.4% more Same price
#26 Gemini 3.1 Pro
Google
 $0.022400 (rounded ~ $0.02) ↑ 500.5% more ↑ 4.9% more
#27 GPT-5.4
OpenAI
 $0.028000 (rounded ~ $0.03) ↑ 650.7% more ↑ 31.1% more
#28 GPT-5.4 Thinking
OpenAI
 $0.028000 (rounded ~ $0.03) ↑ 650.7% more ↑ 31.1% more
#29 Claude Sonnet 4.6
Anthropic
 $0.032100 (rounded ~ $0.03) ↑ 760.6% more ↑ 50.4% more
#30 Claude Opus 4.7
Anthropic
 $0.053500 (rounded ~ $0.05) ↑ 1334.3% more ↑ 150.6% more
#31 Claude Opus 4.8
Anthropic
 $0.053500 (rounded ~ $0.05) ↑ 1334.3% more ↑ 150.6% more
#32 Claude Opus 4.6
Anthropic
 $0.053500 (rounded ~ $0.05) ↑ 1334.3% more ↑ 150.6% more
#33 GPT-5.5
OpenAI
 $0.056000 (rounded ~ $0.06) ↑ 1401.3% more ↑ 162.3% more
#34 GPT-5.5 Instant
OpenAI
 $0.056000 (rounded ~ $0.06) ↑ 1401.3% more ↑ 162.3% more
#35 o3 Deep Research
OpenAI
 $0.102000 (rounded ~ $0.10) ↑ 2634.6% more ↑ 377.8% more
#36 o3 Pro
OpenAI
 $0.204000 (rounded ~ $0.20) ↑ 5369.2% more ↑ 855.5% more
#37 GPT-5.2 Pro
OpenAI
 $0.256200 (rounded ~ $0.26) ↑ 6768.6% more ↑ 1100% more
#38 GPT-5.2 Pro
OpenAI
 $0.256200 (rounded ~ $0.26) ↑ 6768.6% more ↑ 1100% more
🏆

DeepSeek V4 Flash
DeepSeek

$0.000714
vs Devstral 2: ↓ 80.9%
vs GPT-5.3 Codex Spark: ↓ 96.7%
🥈

Mistral Small 3
Mistral AI

$0.000970
vs Devstral 2: ↓ 74%
vs GPT-5.3 Codex Spark: ↓ 95.5%
🥉

Voxtral Small 24B
Mistral AI

$0.000970
vs Devstral 2: ↓ 74%
vs GPT-5.3 Codex Spark: ↓ 95.5%
#4

Devstral Small 2
Mistral AI

$0.000970
vs Devstral 2: ↓ 74%
vs GPT-5.3 Codex Spark: ↓ 95.5%
#5

Ministral 3 (14B)
Mistral AI

$0.001740
vs Devstral 2: ↓ 53.4%
vs GPT-5.3 Codex Spark: ↓ 91.9%
#6

Grok Code Fast 1
xAI

$0.002390
vs Devstral 2: ↓ 35.9%
vs GPT-5.3 Codex Spark: ↓ 88.8%
#7

Gemini 3.1 Flash Lite
Google

$0.002800
vs Devstral 2: ↓ 24.9%
vs GPT-5.3 Codex Spark: ↓ 86.9%
#8

Nemotron 3 Super
Mistral AI

$0.002870
vs Devstral 2: ↓ 23.1%
vs GPT-5.3 Codex Spark: ↓ 86.6%
#9

Gemini 2.5 Flash
Google

$0.003710
vs Devstral 2: ↓ 0.5%
vs GPT-5.3 Codex Spark: ↓ 82.6%
#10

DeepSeek V4 Pro
DeepSeek

$0.004002
vs Devstral 2: ↑ 7.3%
vs GPT-5.3 Codex Spark: ↓ 81.3%
#11

Mistral Large 3
Mistral AI

$0.004850
vs Devstral 2: ↑ 30%
vs GPT-5.3 Codex Spark: ↓ 77.3%
#12

Gemini 3.1 Flash
Google

$0.005600 (rounded ~ $0.01)
vs Devstral 2: ↑ 50.1%
vs GPT-5.3 Codex Spark: ↓ 73.8%
#13

Kimi K2.5
Moonshot AI

$0.006504 (rounded ~ $0.01)
vs Devstral 2: ↑ 74.4%
vs GPT-5.3 Codex Spark: ↓ 69.5%
#14

GPT-5.4 mini
OpenAI

$0.008400 (rounded ~ $0.01)
vs Devstral 2: ↑ 125.2%
vs GPT-5.3 Codex Spark: ↓ 60.7%
#15

Kimi K2.6
Moonshot AI

$0.009923
vs Devstral 2: ↑ 166%
vs GPT-5.3 Codex Spark: ↓ 53.5%
#16

o4-mini Deep Research
OpenAI

$0.010200
vs Devstral 2: ↑ 173.5%
vs GPT-5.3 Codex Spark: ↓ 52.2%
#17

Claude Haiku 4.5
Anthropic

$0.010700
vs Devstral 2: ↑ 186.9%
vs GPT-5.3 Codex Spark: ↓ 49.9%
#18

o4-mini
OpenAI

$0.011220 (rounded ~ $0.01)
vs Devstral 2: ↑ 200.8%
vs GPT-5.3 Codex Spark: ↓ 47.4%
#19

Grok 4.3
xAI

$0.011500 (rounded ~ $0.01)
vs Devstral 2: ↑ 208.3%
vs GPT-5.3 Codex Spark: ↓ 46.1%
#20

Gemini 2.5 Pro
Google

$0.015250 (rounded ~ $0.02)
vs Devstral 2: ↑ 308.8%
vs GPT-5.3 Codex Spark: ↓ 28.6%
#21

Gemini 3.5 Flash
Google

$0.016800 (rounded ~ $0.02)
vs Devstral 2: ↑ 350.4%
vs GPT-5.3 Codex Spark: ↓ 21.3%
#22

Magistral Medium
Mistral AI

$0.018900 (rounded ~ $0.02)
vs Devstral 2: ↑ 406.7%
vs GPT-5.3 Codex Spark: ↓ 11.5%
#23

Grok 4.20 Beta
xAI

$0.019400
vs Devstral 2: ↑ 420.1%
vs GPT-5.3 Codex Spark: ↓ 9.1%
#24

GPT-5.3 Codex Spark
OpenAI

$0.021350 (rounded ~ $0.02)
vs Devstral 2: ↑ 472.4%
vs GPT-5.3 Codex Spark: Same
#25

GPT-5.3 Instant
OpenAI

$0.021350 (rounded ~ $0.02)
vs Devstral 2: ↑ 472.4%
vs GPT-5.3 Codex Spark: Same
#26

Gemini 3.1 Pro
Google

$0.022400 (rounded ~ $0.02)
vs Devstral 2: ↑ 500.5%
vs GPT-5.3 Codex Spark: ↑ 4.9%
#27

GPT-5.4
OpenAI

$0.028000 (rounded ~ $0.03)
vs Devstral 2: ↑ 650.7%
vs GPT-5.3 Codex Spark: ↑ 31.1%
#28

GPT-5.4 Thinking
OpenAI

$0.028000 (rounded ~ $0.03)
vs Devstral 2: ↑ 650.7%
vs GPT-5.3 Codex Spark: ↑ 31.1%
#29

Claude Sonnet 4.6
Anthropic

$0.032100 (rounded ~ $0.03)
vs Devstral 2: ↑ 760.6%
vs GPT-5.3 Codex Spark: ↑ 50.4%
#30

Claude Opus 4.7
Anthropic

$0.053500 (rounded ~ $0.05)
vs Devstral 2: ↑ 1334.3%
vs GPT-5.3 Codex Spark: ↑ 150.6%
#31

Claude Opus 4.8
Anthropic

$0.053500 (rounded ~ $0.05)
vs Devstral 2: ↑ 1334.3%
vs GPT-5.3 Codex Spark: ↑ 150.6%
#32

Claude Opus 4.6
Anthropic

$0.053500 (rounded ~ $0.05)
vs Devstral 2: ↑ 1334.3%
vs GPT-5.3 Codex Spark: ↑ 150.6%
#33

GPT-5.5
OpenAI

$0.056000 (rounded ~ $0.06)
vs Devstral 2: ↑ 1401.3%
vs GPT-5.3 Codex Spark: ↑ 162.3%
#34

GPT-5.5 Instant
OpenAI

$0.056000 (rounded ~ $0.06)
vs Devstral 2: ↑ 1401.3%
vs GPT-5.3 Codex Spark: ↑ 162.3%
#35

o3 Deep Research
OpenAI

$0.102000 (rounded ~ $0.10)
vs Devstral 2: ↑ 2634.6%
vs GPT-5.3 Codex Spark: ↑ 377.8%
#36

o3 Pro
OpenAI

$0.204000 (rounded ~ $0.20)
vs Devstral 2: ↑ 5369.2%
vs GPT-5.3 Codex Spark: ↑ 855.5%
#37

GPT-5.2 Pro
OpenAI

$0.256200 (rounded ~ $0.26)
vs Devstral 2: ↑ 6768.6%
vs GPT-5.3 Codex Spark: ↑ 1100%
#38

GPT-5.2 Pro
OpenAI

$0.256200 (rounded ~ $0.26)
vs Devstral 2: ↑ 6768.6%
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.

Choosing Your Engine

Selecting between specialized coding models is a critical decision for teams managing developer productivity tools at scale. The comparison between Devstral 2 and GPT-5.3 Codex Spark highlights two distinct philosophies in model engineering: focused agentic reasoning versus ultra-fast, real-time iteration.

Devstral 2 is designed specifically for software engineering agents. Its architecture allows it to excel at multi-file reasoning, understanding complex dependency chains, and performing structured edits. When your IDE environment requires the model to navigate an entire repository, understand architectural intent, or perform safe, systematic refactoring, Devstral 2 provides the reliability and deep context retention that enterprise teams demand. It acts as a deliberate, thoughtful engineer that prioritizes correctness and stability.

Conversely, GPT-5.3 Codex Spark is built for speed. It is optimized for the ‘draft-and-iterate’ loop where you need immediate feedback on function completions, targeted edits, or quick debugging prompts. Codex Spark’s high-throughput architecture makes it feel near-instant, providing a seamless experience for real-time coding where latency is the primary barrier to adoption. While it may require more steering for complex tasks, its ability to output code at blistering speeds makes it ideal for frontend work, prototyping, or high-volume subagent tasks that don’t require heavy-duty reasoning. For many teams, the optimal pipeline leverages both: Spark for the rapid, interactive drafting phase and Devstral 2 for the deeper, more complex implementation and refactoring work.

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.