Code Review Efficiency: Claude Sonnet 4.6 vs Devstral 2 for 100K-Token PR Diffs

Claude Sonnet 4.6 has been replaced by Claude Sonnet 5.5

The pricing shown below is for the older model and is kept for reference. If you are choosing a model today, use the current version — its rate and context window differ.

See current Claude Sonnet 5.5 pricing →  ·  All recent pricing changes

Claude Sonnet 4.6 vs Devstral 2
Complete Comparison: 100,000 input tokens × 2,000 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 Claude Sonnet 4.6
Anthropic
Devstral 2
Mistral AI
Calculation Results (Current Inputs) (20% cached)
Input Tokens 100,000 100,000
Output Tokens 2,000 2,000
Cost Breakdown
Input Cost $0.300000Worst $0.040000Best
Output Cost $0.030000Worst $0.001800Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.276000 (rounded ~ $0.28) Most Expensive $0.034600 (rounded ~ $0.03) Best Value
Processing Time 4 minutes, 2.71 seconds 4 minutes, 2.71 seconds
Tokens per Second 450 450
Time to First Token 200ms Worst 180ms Best
Cost per 1K tokens $0.002706Worst $0.000339Best
Tokens per Dollar 369,565Worst Value 2,947,977Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $3.000000Worst $0.400000Best
Output Cost / 1M (Base) $15.000000Worst $0.900000Best
Input Cost / 1M (Optimized) $3.000000Worst
Optimizations: No optimizations applied
$0.400000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $15.000000Worst
Optimizations: No optimizations applied
$0.900000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✗ Not Supported
Caching Support
20
✓ Supported ✓ Supported
Batch API Support ✓ Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

Claude Sonnet 4.6

AnthropicMax Context: 1,000,000 tokens
$3 / $15 per 1M tokens
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

$0.276000 Total Cost
$0.240000 Input Cost
$0.030000 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
$0.002706Cost per 1K
369,565Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

4m 2s Processing Time
450 Tokens/Second
200ms Time to First Token
421 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

📚 Research & Citations

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.

Claude Sonnet 4.6 Anthropic 1000000

$0.276000 (rounded ~ $0.28)
Total Cost
⚡ 20% Cached 🔧 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) $0.330000 Input: $0.300000
Output: $0.030000
Optimized Cost $0.276000 (rounded ~ $0.28) Input: $0.300000
Output: $0.030000
Unit: $0.000000
Fees: $0.000000
Total Savings $0.054000 (rounded ~ $0.05) 16.4% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.300000
  • Output Cost: $0.030000
  • Total Cost: $0.276000 (rounded ~ $0.28)
  • Cost per 1K tokens: $0.002706
  • Tokens per dollar: 369,565 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: 4 minutes, 2.71 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 4.6 for complexnuanced code critiques and Devstral 2 for high-speedspecialized automated linting and PR summarization.

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 →

Devstral 2 Mistral AI

$0.034600 (rounded ~ $0.03)
Total Cost
⚡ 20% Cached 🔧 Tools
👁️
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) $0.041800 (rounded ~ $0.04) Input: $0.040000
Output: $0.001800
Optimized Cost $0.034600 (rounded ~ $0.03) Input: $0.040000
Output: $0.001800
Unit: $0.000000
Fees: $0.000000
Total Savings $0.007200 (rounded ~ $0.01) 17.2% discount

Detailed Cost Analysis (from Plugin)

For 100,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.040000
  • Output Cost: $0.001800
  • Total Cost: $0.034600 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.000339
  • Tokens per dollar: 2,947,977 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: 4 minutes, 2.71 seconds
  • Latency: 180 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 421 tokens/second (temperature-adjusted)

Best Use Cases

Use Claude Sonnet 4.6 for complexnuanced code critiques and Devstral 2 for high-speedspecialized automated linting and PR summarization.

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 Claude Sonnet 4.6
📋 Active Input Parameters
Input Tokens: 100,000
Output Tokens: 2,000
Cached Tokens: 20%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Devstral 2
🏆 Claude Haiku 5.5
Anthropic
 $0.009200 Best Value ↓ 96.7% cheaper ↓ 73.4% cheaper
🥈 GPT-6 Luna
OpenAI
 $0.009200 ↓ 96.7% cheaper ↓ 73.4% cheaper
🥉 GPT-5.6 Luna
OpenAI
 $0.018800 (rounded ~ $0.02) ↓ 93.2% cheaper ↓ 45.7% cheaper
#4 Grok Code Fast 1
xAI
 $0.019400 ↓ 93% cheaper ↓ 43.9% cheaper
#5 Gemini 3.1 Flash Lite
Google
 $0.023500 (rounded ~ $0.02) ↓ 91.5% cheaper ↓ 32.1% cheaper
#6 Gemini 3.5 Flash-Lite
Google
 $0.029600 ↓ 89.3% cheaper ↓ 14.5% cheaper
#7 Gemini 2.5 Flash
Google
 $0.029600 ↓ 89.3% cheaper ↓ 14.5% cheaper
#8 Mistral Large 3
Mistral AI
 $0.044000 (rounded ~ $0.04) ↓ 84.1% cheaper ↑ 27.2% more
#9 Gemini 3.1 Flash
Google
 $0.047000 (rounded ~ $0.05) ↓ 83% cheaper ↑ 35.8% more
#10 Gemini 3.8 Flash
Google
 $0.069000 (rounded ~ $0.07) ↓ 75% cheaper ↑ 99.4% more
#11 Gemini 3.6 Flash
Google
 $0.069000 (rounded ~ $0.07) ↓ 75% cheaper ↑ 99.4% more
#12 GPT-5.4 mini
OpenAI
 $0.070500 ↓ 74.5% cheaper ↑ 103.8% more
#13 Grok Build 0.1
xAI
 $0.086000 (rounded ~ $0.09) ↓ 68.8% cheaper ↑ 148.6% more
#14 Claude Haiku 4.5
Anthropic
 $0.092000 (rounded ~ $0.09) ↓ 66.7% cheaper ↑ 165.9% more
#15 Grok 4.3
xAI
 $0.107500 (rounded ~ $0.11) ↓ 61.1% cheaper ↑ 210.7% more
#16 Grok 4.20 Beta
xAI
 $0.107500 (rounded ~ $0.11) ↓ 61.1% cheaper ↑ 210.7% more
#17 Mistral Large 4
Mistral AI
 $0.119880 ↓ 56.6% cheaper ↑ 246.5% more
#18 Gemini 2.5 Pro
Google
 $0.122500 (rounded ~ $0.12) ↓ 55.6% cheaper ↑ 254% more
#19 GPT-5.3 Codex Spark
OpenAI
 $0.171500 (rounded ~ $0.17) ↓ 37.9% cheaper ↑ 395.7% more
#20 GPT-5.3 Instant
OpenAI
 $0.171500 (rounded ~ $0.17) ↓ 37.9% cheaper ↑ 395.7% more
#21 Grok 4.7
xAI
 $0.176000 (rounded ~ $0.18) ↓ 36.2% cheaper ↑ 408.7% more
#22 Grok 4.6
xAI
 $0.176000 (rounded ~ $0.18) ↓ 36.2% cheaper ↑ 408.7% more
#23 Grok 4.5
xAI
 $0.176000 (rounded ~ $0.18) ↓ 36.2% cheaper ↑ 408.7% more
#24 Claude Sonnet 5.5
Anthropic
 $0.182000 (rounded ~ $0.18) ↓ 34.1% cheaper ↑ 426% more
#25 Claude Sonnet 5
Anthropic
 $0.184000 (rounded ~ $0.18) ↓ 33.3% cheaper ↑ 431.8% more
#26 Gemini 4 Argon
Google
 $0.184000 (rounded ~ $0.18) ↓ 33.3% cheaper ↑ 431.8% more
#27 GPT-6.1 Sol
OpenAI
 $0.184000 (rounded ~ $0.18) ↓ 33.3% cheaper ↑ 431.8% more
#28 GPT-6 Sol
OpenAI
 $0.184000 (rounded ~ $0.18) ↓ 33.3% cheaper ↑ 431.8% more
#29 Kimi K3.1 Pro
Moonshot AI
 $0.186800 (rounded ~ $0.19) ↓ 32.3% cheaper ↑ 439.9% more
#30 Gemini 3.1 Pro
Google
 $0.188000 (rounded ~ $0.19) ↓ 31.9% cheaper ↑ 443.4% more
#31 GPT-5.6 Terra
OpenAI
 $0.188000 (rounded ~ $0.19) ↓ 31.9% cheaper ↑ 443.4% more
#32 GPT-5.4
OpenAI
 $0.235000 (rounded ~ $0.24) ↓ 14.9% cheaper ↑ 579.2% more
#33 GPT-5.4 Thinking
OpenAI
 $0.235000 (rounded ~ $0.24) ↓ 14.9% cheaper ↑ 579.2% more
#34 Kimi K3
Moonshot AI
 $0.280200 ↑ 1.5% more ↑ 709.8% more
#35 Claude Opus 5.5
Anthropic
 $0.364000 (rounded ~ $0.36) ↑ 31.9% more ↑ 952% more
#36 GPT-5.6 Sol
OpenAI
 $0.368000 (rounded ~ $0.37) ↑ 33.3% more ↑ 963.6% more
#37 Muse Wonder 1.0
Meta AI
 $0.440000 ↑ 59.4% more ↑ 1171.7% more
#38 Claude Opus 4.7
Anthropic
 $0.460000 ↑ 66.7% more ↑ 1229.5% more
#39 Claude Opus 5
Anthropic
 $0.460000 ↑ 66.7% more ↑ 1229.5% more
#40 Claude Opus 4.8
Anthropic
 $0.460000 ↑ 66.7% more ↑ 1229.5% more
#41 Claude Opus 4.6
Anthropic
 $0.460000 ↑ 66.7% more ↑ 1229.5% more
#42 GPT-5.5
OpenAI
 $0.470000 ↑ 70.3% more ↑ 1258.4% more
#43 GPT-5.5 Instant
OpenAI
 $0.470000 ↑ 70.3% more ↑ 1258.4% more
#44 Claude Fable 5.1
Anthropic
 $0.905000 (rounded ~ $0.91) ↑ 227.9% more ↑ 2515.6% more
#45 Claude Mythos 5.1
Anthropic
 $0.905000 (rounded ~ $0.91) ↑ 227.9% more ↑ 2515.6% more
#46 Claude Fable 5
Anthropic
 $0.920000 ↑ 233.3% more ↑ 2559% more
#47 Claude Mythos 5
Anthropic
 $0.920000 ↑ 233.3% more ↑ 2559% more
#48 GPT-6 Astra
OpenAI
 $0.920000 ↑ 233.3% more ↑ 2559% more
#49 GPT-5.2 Pro
OpenAI
 $2.058000 (rounded ~ $2.06) ↑ 645.7% more ↑ 5848% more
#50 GPT-5.2 Pro
OpenAI
 $2.058000 (rounded ~ $2.06) ↑ 645.7% more ↑ 5848% more
🏆

Claude Haiku 5.5
Anthropic

$0.009200
vs Claude Sonnet 4.6: ↓ 96.7%
vs Devstral 2: ↓ 73.4%
🥈

GPT-6 Luna
OpenAI

$0.009200
vs Claude Sonnet 4.6: ↓ 96.7%
vs Devstral 2: ↓ 73.4%
🥉

GPT-5.6 Luna
OpenAI

$0.018800 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 93.2%
vs Devstral 2: ↓ 45.7%
#4

Grok Code Fast 1
xAI

$0.019400
vs Claude Sonnet 4.6: ↓ 93%
vs Devstral 2: ↓ 43.9%
#5

Gemini 3.1 Flash Lite
Google

$0.023500 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 91.5%
vs Devstral 2: ↓ 32.1%
#6

Gemini 3.5 Flash-Lite
Google

$0.029600
vs Claude Sonnet 4.6: ↓ 89.3%
vs Devstral 2: ↓ 14.5%
#7

Gemini 2.5 Flash
Google

$0.029600
vs Claude Sonnet 4.6: ↓ 89.3%
vs Devstral 2: ↓ 14.5%
#8

Mistral Large 3
Mistral AI

$0.044000 (rounded ~ $0.04)
vs Claude Sonnet 4.6: ↓ 84.1%
vs Devstral 2: ↑ 27.2%
#9

Gemini 3.1 Flash
Google

$0.047000 (rounded ~ $0.05)
vs Claude Sonnet 4.6: ↓ 83%
vs Devstral 2: ↑ 35.8%
#10

Gemini 3.8 Flash
Google

$0.069000 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↓ 75%
vs Devstral 2: ↑ 99.4%
#11

Gemini 3.6 Flash
Google

$0.069000 (rounded ~ $0.07)
vs Claude Sonnet 4.6: ↓ 75%
vs Devstral 2: ↑ 99.4%
#12

GPT-5.4 mini
OpenAI

$0.070500
vs Claude Sonnet 4.6: ↓ 74.5%
vs Devstral 2: ↑ 103.8%
#13

Grok Build 0.1
xAI

$0.086000 (rounded ~ $0.09)
vs Claude Sonnet 4.6: ↓ 68.8%
vs Devstral 2: ↑ 148.6%
#14

Claude Haiku 4.5
Anthropic

$0.092000 (rounded ~ $0.09)
vs Claude Sonnet 4.6: ↓ 66.7%
vs Devstral 2: ↑ 165.9%
#15

Grok 4.3
xAI

$0.107500 (rounded ~ $0.11)
vs Claude Sonnet 4.6: ↓ 61.1%
vs Devstral 2: ↑ 210.7%
#16

Grok 4.20 Beta
xAI

$0.107500 (rounded ~ $0.11)
vs Claude Sonnet 4.6: ↓ 61.1%
vs Devstral 2: ↑ 210.7%
#17

Mistral Large 4
Mistral AI

$0.119880
vs Claude Sonnet 4.6: ↓ 56.6%
vs Devstral 2: ↑ 246.5%
#18

Gemini 2.5 Pro
Google

$0.122500 (rounded ~ $0.12)
vs Claude Sonnet 4.6: ↓ 55.6%
vs Devstral 2: ↑ 254%
#19

GPT-5.3 Codex Spark
OpenAI

$0.171500 (rounded ~ $0.17)
vs Claude Sonnet 4.6: ↓ 37.9%
vs Devstral 2: ↑ 395.7%
#20

GPT-5.3 Instant
OpenAI

$0.171500 (rounded ~ $0.17)
vs Claude Sonnet 4.6: ↓ 37.9%
vs Devstral 2: ↑ 395.7%
#21

Grok 4.7
xAI

$0.176000 (rounded ~ $0.18)
vs Claude Sonnet 4.6: ↓ 36.2%
vs Devstral 2: ↑ 408.7%
#22

Grok 4.6
xAI

$0.176000 (rounded ~ $0.18)
vs Claude Sonnet 4.6: ↓ 36.2%
vs Devstral 2: ↑ 408.7%
#23

Grok 4.5
xAI

$0.176000 (rounded ~ $0.18)
vs Claude Sonnet 4.6: ↓ 36.2%
vs Devstral 2: ↑ 408.7%
#24

Claude Sonnet 5.5
Anthropic

$0.182000 (rounded ~ $0.18)
vs Claude Sonnet 4.6: ↓ 34.1%
vs Devstral 2: ↑ 426%
#25

Claude Sonnet 5
Anthropic

$0.184000 (rounded ~ $0.18)
vs Claude Sonnet 4.6: ↓ 33.3%
vs Devstral 2: ↑ 431.8%
#26

Gemini 4 Argon
Google

$0.184000 (rounded ~ $0.18)
vs Claude Sonnet 4.6: ↓ 33.3%
vs Devstral 2: ↑ 431.8%
#27

GPT-6.1 Sol
OpenAI

$0.184000 (rounded ~ $0.18)
vs Claude Sonnet 4.6: ↓ 33.3%
vs Devstral 2: ↑ 431.8%
#28

GPT-6 Sol
OpenAI

$0.184000 (rounded ~ $0.18)
vs Claude Sonnet 4.6: ↓ 33.3%
vs Devstral 2: ↑ 431.8%
#29

Kimi K3.1 Pro
Moonshot AI

$0.186800 (rounded ~ $0.19)
vs Claude Sonnet 4.6: ↓ 32.3%
vs Devstral 2: ↑ 439.9%
#30

Gemini 3.1 Pro
Google

$0.188000 (rounded ~ $0.19)
vs Claude Sonnet 4.6: ↓ 31.9%
vs Devstral 2: ↑ 443.4%
#31

GPT-5.6 Terra
OpenAI

$0.188000 (rounded ~ $0.19)
vs Claude Sonnet 4.6: ↓ 31.9%
vs Devstral 2: ↑ 443.4%
#32

GPT-5.4
OpenAI

$0.235000 (rounded ~ $0.24)
vs Claude Sonnet 4.6: ↓ 14.9%
vs Devstral 2: ↑ 579.2%
#33

GPT-5.4 Thinking
OpenAI

$0.235000 (rounded ~ $0.24)
vs Claude Sonnet 4.6: ↓ 14.9%
vs Devstral 2: ↑ 579.2%
#34

Kimi K3
Moonshot AI

$0.280200
vs Claude Sonnet 4.6: ↑ 1.5%
vs Devstral 2: ↑ 709.8%
#35

Claude Opus 5.5
Anthropic

$0.364000 (rounded ~ $0.36)
vs Claude Sonnet 4.6: ↑ 31.9%
vs Devstral 2: ↑ 952%
#36

GPT-5.6 Sol
OpenAI

$0.368000 (rounded ~ $0.37)
vs Claude Sonnet 4.6: ↑ 33.3%
vs Devstral 2: ↑ 963.6%
#37

Muse Wonder 1.0
Meta AI

$0.440000
vs Claude Sonnet 4.6: ↑ 59.4%
vs Devstral 2: ↑ 1171.7%
#38

Claude Opus 4.7
Anthropic

$0.460000
vs Claude Sonnet 4.6: ↑ 66.7%
vs Devstral 2: ↑ 1229.5%
#39

Claude Opus 5
Anthropic

$0.460000
vs Claude Sonnet 4.6: ↑ 66.7%
vs Devstral 2: ↑ 1229.5%
#40

Claude Opus 4.8
Anthropic

$0.460000
vs Claude Sonnet 4.6: ↑ 66.7%
vs Devstral 2: ↑ 1229.5%
#41

Claude Opus 4.6
Anthropic

$0.460000
vs Claude Sonnet 4.6: ↑ 66.7%
vs Devstral 2: ↑ 1229.5%
#42

GPT-5.5
OpenAI

$0.470000
vs Claude Sonnet 4.6: ↑ 70.3%
vs Devstral 2: ↑ 1258.4%
#43

GPT-5.5 Instant
OpenAI

$0.470000
vs Claude Sonnet 4.6: ↑ 70.3%
vs Devstral 2: ↑ 1258.4%
#44

Claude Fable 5.1
Anthropic

$0.905000 (rounded ~ $0.91)
vs Claude Sonnet 4.6: ↑ 227.9%
vs Devstral 2: ↑ 2515.6%
#45

Claude Mythos 5.1
Anthropic

$0.905000 (rounded ~ $0.91)
vs Claude Sonnet 4.6: ↑ 227.9%
vs Devstral 2: ↑ 2515.6%
#46

Claude Fable 5
Anthropic

$0.920000
vs Claude Sonnet 4.6: ↑ 233.3%
vs Devstral 2: ↑ 2559%
#47

Claude Mythos 5
Anthropic

$0.920000
vs Claude Sonnet 4.6: ↑ 233.3%
vs Devstral 2: ↑ 2559%
#48

GPT-6 Astra
OpenAI

$0.920000
vs Claude Sonnet 4.6: ↑ 233.3%
vs Devstral 2: ↑ 2559%
#49

GPT-5.2 Pro
OpenAI

$2.058000 (rounded ~ $2.06)
vs Claude Sonnet 4.6: ↑ 645.7%
vs Devstral 2: ↑ 5848%
#50

GPT-5.2 Pro
OpenAI

$2.058000 (rounded ~ $2.06)
vs Claude Sonnet 4.6: ↑ 645.7%
vs Devstral 2: ↑ 5848%
✨ 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.

For an indie developer building a code review assistant, the choice between Claude Sonnet 4.6 and Devstral 2 hinges on the balance between frontier-level reasoning and specialized developer workflow optimization. Code reviews for large diffs require not just syntax checking, but a deep understanding of architectural impact, security vulnerabilities, and logical flow across multiple files.

Claude Sonnet 4.6 is widely recognized for its exceptional instruction following and ability to synthesize complex, multi-file changes into actionable feedback. When your pull requests reach the 100K-token scale, its large context window ensures that it maintains consistent oversight of file states and definitions, which is critical for identifying subtle bugs in large-scale refactors or new feature implementations. It excels at providing natural, explanatory critiques that feel like a senior engineer’s review.

On the other hand, Devstral 2 represents a more focused, specialized approach to the developer lifecycle. If your assistant’s primary goal is rapid integration into a CI/CD pipeline where latency is the bottleneck, Devstral 2’s architecture is specifically tuned to recognize code patterns, common boilerplate, and programming pitfalls with high throughput. It is designed to handle multi-file orchestration, allowing it to navigate codebase dependencies effectively without the computational overhead of more generalized reasoning models.

Choosing between these two depends on your UI and user experience goals. If your assistant provides deep, conversational, and explanatory critiques, Claude Sonnet 4.6 provides a more human-like interaction. If you are building a snappy, automated linter-on-steroids, Devstral 2 offers a more specialized path. Prototyping with both is recommended to see which aligns better with your specific codebase and feedback style.

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

Claude Sonnet 4.6 currently costs $3.00 / $15.00 per 1M tokens. These are the models worth pricing against it, taken live from the tracked registry.

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