Claude Sonnet 4.6 vs Mistral Large 3 for 10,000 Token Inline Suggestions

Claude Sonnet 4.6 vs Mistral Large 3
Complete Comparison: 10,000 input tokens × 1,000 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 Claude Sonnet 4.6
Anthropic
Mistral Large 3
Mistral AI
Calculation Results (Current Inputs) (40% cached)
Input Tokens 10,000 10,000
Output Tokens 1,000 1,000
Cost Breakdown
Input Cost $0.030000Worst $0.005000 (rounded ~ $0.01)Best
Output Cost $0.015000 (rounded ~ $0.02)Worst $0.001500Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.034200 (rounded ~ $0.03) Most Expensive $0.004700 Best Value
Processing Time 25.36 seconds Slowest 22.84 seconds Fastest
Tokens per Second 450Slowest 500Fastest
Time to First Token 200ms Worst 160ms Best
Cost per 1K tokens $0.003109Worst $0.000427Best
Tokens per Dollar 321,637Worst Value 2,340,426Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $3.000000Worst $0.500000Best
Output Cost / 1M (Base) $15.000000Worst $1.500000Best
Input Cost / 1M (Optimized) $3.000000Worst
Optimizations: No optimizations applied
$0.500000Best
Optimizations: No optimizations applied
Output Cost / 1M (Optimized) $15.000000Worst
Optimizations: No optimizations applied
$1.500000Best
Optimizations: No optimizations applied
Capabilities & Advanced Features
Images Support ✓ Supported ✓ Supported
Caching Support
40
✓ 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
▼
▼
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

$0.034200 Total Cost
$0.018000 Input Cost
$0.015000 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
11,000Total Tokens
$0.003109Cost per 1K
321,637Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

25.36s Processing Time
450 Tokens/Second
200ms Time to First Token
437 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.

Claude Sonnet 4.6 Anthropic 1000000

$0.034200 (rounded ~ $0.03)
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) $0.045000 (rounded ~ $0.05) Input: $0.030000
Output: $0.015000 (rounded ~ $0.02)
Optimized Cost $0.034200 (rounded ~ $0.03) Input: $0.030000
Output: $0.015000 (rounded ~ $0.02)
Unit: $0.000000
Fees: $0.000000
Total Savings $0.010800 24.0% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.030000
  • Output Cost: $0.015000 (rounded ~ $0.02)
  • Total Cost: $0.034200 (rounded ~ $0.03)
  • Cost per 1K tokens: $0.003109
  • Tokens per dollar: 321,637 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: 25.36 seconds
  • Latency: 200 milliseconds to first token
  • Base Throughput: 450 tokens/second
  • Effective Throughput: 437 tokens/second (temperature-adjusted)

Best Use Cases

Claude Sonnet 4.6 for complex refactoring and multi-file logic; Mistral Large 3 for fine-tuning on internal code and open-source infrastructure control.

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 →

Mistral Large 3 Mistral AI

$0.004700
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) $0.006500 (rounded ~ $0.01) Input: $0.005000 (rounded ~ $0.01)
Output: $0.001500
Optimized Cost $0.004700 Input: $0.005000 (rounded ~ $0.01)
Output: $0.001500
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001800 27.7% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 1,000 output tokens:

  • Input Cost: $0.005000 (rounded ~ $0.01)
  • Output Cost: $0.001500
  • Total Cost: $0.004700
  • Cost per 1K tokens: $0.000427
  • Tokens per dollar: 2,340,426 tokens
  • Context Window: 256000 tokens

Speed & Performance Analysis

With a processing speed of 500 tokens per second and 160ms time to first token:

  • Processing Time: 22.84 seconds
  • Latency: 160 milliseconds to first token
  • Base Throughput: 500 tokens/second
  • Effective Throughput: 485 tokens/second (temperature-adjusted)

Best Use Cases

Claude Sonnet 4.6 for complex refactoring and multi-file logic; Mistral Large 3 for fine-tuning on internal code and open-source infrastructure control.

Want this applied to YOUR actual stack?

This calculator shows the math for Mistral Large 3. 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: 10,000
Output Tokens: 1,000
Cached Tokens: 40%
Rank AI Model & Provider Total Cost vs Claude Sonnet 4.6 vs Mistral Large 3
🏆 DeepSeek V4 Flash
DeepSeek
 $0.000728 Best Value ↓ 97.9% cheaper ↓ 84.5% cheaper
🥈 Mistral Small 3
Mistral AI
 $0.000940 ↓ 97.3% cheaper ↓ 80% cheaper
🥉 Voxtral Small 24B
Mistral AI
 $0.000940 ↓ 97.3% cheaper ↓ 80% cheaper
#4 Devstral Small 2
Mistral AI
 $0.000940 ↓ 97.3% cheaper ↓ 80% cheaper
#5 Ministral 3 (14B)
Mistral AI
 $0.001480 ↓ 95.7% cheaper ↓ 68.5% cheaper
#6 Nemotron 3 Super
Mistral AI
 $0.002740 ↓ 92% cheaper ↓ 41.7% cheaper
#7 Grok Code Fast 1
xAI
 $0.002780 ↓ 91.9% cheaper ↓ 40.9% cheaper
#8 Gemini 3.1 Flash Lite
Google
 $0.003100 ↓ 90.9% cheaper ↓ 34% cheaper
#9 Devstral 2
Mistral AI
 $0.003460 ↓ 89.9% cheaper ↓ 26.4% cheaper
#10 DeepSeek V4 Pro
DeepSeek
 $0.003654 ↓ 89.3% cheaper ↓ 22.3% cheaper
#11 Gemini 2.5 Flash
Google
 $0.004420 ↓ 87.1% cheaper ↓ 6% cheaper
#12 Mistral Large 3
Mistral AI
 $0.004700 ↓ 86.3% cheaper Same price
#13 Gemini 3.1 Flash
Google
 $0.006200 (rounded ~ $0.01) ↓ 81.9% cheaper ↑ 31.9% more
#14 Kimi K2.5
Moonshot AI
 $0.007008 (rounded ~ $0.01) ↓ 79.5% cheaper ↑ 49.1% more
#15 GPT-5.4 mini
OpenAI
 $0.009300 ↓ 72.8% cheaper ↑ 97.9% more
#16 Kimi K2.6
Moonshot AI
 $0.010346 ↓ 69.7% cheaper ↑ 120.1% more
#17 o4-mini Deep Research
OpenAI
 $0.010400 ↓ 69.6% cheaper ↑ 121.3% more
#18 Grok 4.3
xAI
 $0.010500 ↓ 69.3% cheaper ↑ 123.4% more
#19 Claude Haiku 4.5
Anthropic
 $0.011400 (rounded ~ $0.01) ↓ 66.7% cheaper ↑ 142.6% more
#20 o4-mini
OpenAI
 $0.011440 (rounded ~ $0.01) ↓ 66.5% cheaper ↑ 143.4% more
#21 Magistral Medium
Mistral AI
 $0.017800 (rounded ~ $0.02) ↓ 48% cheaper ↑ 278.7% more
#22 Gemini 2.5 Pro
Google
 $0.018000 (rounded ~ $0.02) ↓ 47.4% cheaper ↑ 283% more
#23 Gemini 3.5 Flash
Google
 $0.018600 (rounded ~ $0.02) ↓ 45.6% cheaper ↑ 295.7% more
#24 Grok 4.20 Beta
xAI
 $0.018800 (rounded ~ $0.02) ↓ 45% cheaper ↑ 300% more
#25 Gemini 3.1 Pro
Google
 $0.024800 (rounded ~ $0.02) ↓ 27.5% cheaper ↑ 427.7% more
#26 GPT-5.3 Codex Spark
OpenAI
 $0.025200 (rounded ~ $0.03) ↓ 26.3% cheaper ↑ 436.2% more
#27 GPT-5.3 Instant
OpenAI
 $0.025200 (rounded ~ $0.03) ↓ 26.3% cheaper ↑ 436.2% more
#28 GPT-5.4
OpenAI
 $0.031000 (rounded ~ $0.03) ↓ 9.4% cheaper ↑ 559.6% more
#29 GPT-5.4 Thinking
OpenAI
 $0.031000 (rounded ~ $0.03) ↓ 9.4% cheaper ↑ 559.6% more
#30 Claude Opus 4.7
Anthropic
 $0.057000 (rounded ~ $0.06) ↑ 66.7% more ↑ 1112.8% more
#31 Claude Opus 4.8
Anthropic
 $0.057000 (rounded ~ $0.06) ↑ 66.7% more ↑ 1112.8% more
#32 Claude Opus 4.6
Anthropic
 $0.057000 (rounded ~ $0.06) ↑ 66.7% more ↑ 1112.8% more
#33 GPT-5.5
OpenAI
 $0.062000 (rounded ~ $0.06) ↑ 81.3% more ↑ 1219.1% more
#34 GPT-5.5 Instant
OpenAI
 $0.062000 (rounded ~ $0.06) ↑ 81.3% more ↑ 1219.1% more
#35 o3 Deep Research
OpenAI
 $0.104000 (rounded ~ $0.10) ↑ 204.1% more ↑ 2112.8% more
#36 o3 Pro
OpenAI
 $0.208000 (rounded ~ $0.21) ↑ 508.2% more ↑ 4325.5% more
#37 GPT-5.2 Pro
OpenAI
 $0.302400 (rounded ~ $0.30) ↑ 784.2% more ↑ 6334% more
#38 GPT-5.2 Pro
OpenAI
 $0.302400 (rounded ~ $0.30) ↑ 784.2% more ↑ 6334% more
🏆

DeepSeek V4 Flash
DeepSeek

$0.000728
vs Claude Sonnet 4.6: ↓ 97.9%
vs Mistral Large 3: ↓ 84.5%
🥈

Mistral Small 3
Mistral AI

$0.000940
vs Claude Sonnet 4.6: ↓ 97.3%
vs Mistral Large 3: ↓ 80%
🥉

Voxtral Small 24B
Mistral AI

$0.000940
vs Claude Sonnet 4.6: ↓ 97.3%
vs Mistral Large 3: ↓ 80%
#4

Devstral Small 2
Mistral AI

$0.000940
vs Claude Sonnet 4.6: ↓ 97.3%
vs Mistral Large 3: ↓ 80%
#5

Ministral 3 (14B)
Mistral AI

$0.001480
vs Claude Sonnet 4.6: ↓ 95.7%
vs Mistral Large 3: ↓ 68.5%
#6

Nemotron 3 Super
Mistral AI

$0.002740
vs Claude Sonnet 4.6: ↓ 92%
vs Mistral Large 3: ↓ 41.7%
#7

Grok Code Fast 1
xAI

$0.002780
vs Claude Sonnet 4.6: ↓ 91.9%
vs Mistral Large 3: ↓ 40.9%
#8

Gemini 3.1 Flash Lite
Google

$0.003100
vs Claude Sonnet 4.6: ↓ 90.9%
vs Mistral Large 3: ↓ 34%
#9

Devstral 2
Mistral AI

$0.003460
vs Claude Sonnet 4.6: ↓ 89.9%
vs Mistral Large 3: ↓ 26.4%
#10

DeepSeek V4 Pro
DeepSeek

$0.003654
vs Claude Sonnet 4.6: ↓ 89.3%
vs Mistral Large 3: ↓ 22.3%
#11

Gemini 2.5 Flash
Google

$0.004420
vs Claude Sonnet 4.6: ↓ 87.1%
vs Mistral Large 3: ↓ 6%
#12

Mistral Large 3
Mistral AI

$0.004700
vs Claude Sonnet 4.6: ↓ 86.3%
vs Mistral Large 3: Same
#13

Gemini 3.1 Flash
Google

$0.006200 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 81.9%
vs Mistral Large 3: ↑ 31.9%
#14

Kimi K2.5
Moonshot AI

$0.007008 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 79.5%
vs Mistral Large 3: ↑ 49.1%
#15

GPT-5.4 mini
OpenAI

$0.009300
vs Claude Sonnet 4.6: ↓ 72.8%
vs Mistral Large 3: ↑ 97.9%
#16

Kimi K2.6
Moonshot AI

$0.010346
vs Claude Sonnet 4.6: ↓ 69.7%
vs Mistral Large 3: ↑ 120.1%
#17

o4-mini Deep Research
OpenAI

$0.010400
vs Claude Sonnet 4.6: ↓ 69.6%
vs Mistral Large 3: ↑ 121.3%
#18

Grok 4.3
xAI

$0.010500
vs Claude Sonnet 4.6: ↓ 69.3%
vs Mistral Large 3: ↑ 123.4%
#19

Claude Haiku 4.5
Anthropic

$0.011400 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 66.7%
vs Mistral Large 3: ↑ 142.6%
#20

o4-mini
OpenAI

$0.011440 (rounded ~ $0.01)
vs Claude Sonnet 4.6: ↓ 66.5%
vs Mistral Large 3: ↑ 143.4%
#21

Magistral Medium
Mistral AI

$0.017800 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 48%
vs Mistral Large 3: ↑ 278.7%
#22

Gemini 2.5 Pro
Google

$0.018000 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 47.4%
vs Mistral Large 3: ↑ 283%
#23

Gemini 3.5 Flash
Google

$0.018600 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 45.6%
vs Mistral Large 3: ↑ 295.7%
#24

Grok 4.20 Beta
xAI

$0.018800 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 45%
vs Mistral Large 3: ↑ 300%
#25

Gemini 3.1 Pro
Google

$0.024800 (rounded ~ $0.02)
vs Claude Sonnet 4.6: ↓ 27.5%
vs Mistral Large 3: ↑ 427.7%
#26

GPT-5.3 Codex Spark
OpenAI

$0.025200 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 26.3%
vs Mistral Large 3: ↑ 436.2%
#27

GPT-5.3 Instant
OpenAI

$0.025200 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 26.3%
vs Mistral Large 3: ↑ 436.2%
#28

GPT-5.4
OpenAI

$0.031000 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 9.4%
vs Mistral Large 3: ↑ 559.6%
#29

GPT-5.4 Thinking
OpenAI

$0.031000 (rounded ~ $0.03)
vs Claude Sonnet 4.6: ↓ 9.4%
vs Mistral Large 3: ↑ 559.6%
#30

Claude Opus 4.7
Anthropic

$0.057000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Mistral Large 3: ↑ 1112.8%
#31

Claude Opus 4.8
Anthropic

$0.057000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Mistral Large 3: ↑ 1112.8%
#32

Claude Opus 4.6
Anthropic

$0.057000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 66.7%
vs Mistral Large 3: ↑ 1112.8%
#33

GPT-5.5
OpenAI

$0.062000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 81.3%
vs Mistral Large 3: ↑ 1219.1%
#34

GPT-5.5 Instant
OpenAI

$0.062000 (rounded ~ $0.06)
vs Claude Sonnet 4.6: ↑ 81.3%
vs Mistral Large 3: ↑ 1219.1%
#35

o3 Deep Research
OpenAI

$0.104000 (rounded ~ $0.10)
vs Claude Sonnet 4.6: ↑ 204.1%
vs Mistral Large 3: ↑ 2112.8%
#36

o3 Pro
OpenAI

$0.208000 (rounded ~ $0.21)
vs Claude Sonnet 4.6: ↑ 508.2%
vs Mistral Large 3: ↑ 4325.5%
#37

GPT-5.2 Pro
OpenAI

$0.302400 (rounded ~ $0.30)
vs Claude Sonnet 4.6: ↑ 784.2%
vs Mistral Large 3: ↑ 6334%
#38

GPT-5.2 Pro
OpenAI

$0.302400 (rounded ~ $0.30)
vs Claude Sonnet 4.6: ↑ 784.2%
vs Mistral Large 3: ↑ 6334%
✨ 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.

Balancing Coding Intelligence and Infrastructure Flexibility

When selecting a backend engine for code generation IDE features, engineering teams often face a tradeoff between top-tier reasoning capabilities and infrastructure control. Claude Sonnet 4.6 and Mistral Large 3 represent the two most common approaches to scaling coding features in a production environment.

Claude Sonnet 4.6 has established itself as a leader in coding tasks, frequently cited for its high-quality output on complex engineering benchmarks. Its ability to maintain coherence over large context windows makes it exceptionally strong for multi-file refactoring and understanding intricate project architectures. This model is often the preferred choice when developer trust and output accuracy are the highest priorities.

Conversely, Mistral Large 3 offers a distinct advantage for teams focused on open-weights and deployment flexibility. Its architecture is optimized for performance efficiency, providing a competitive alternative for teams that prefer self-hosting or require stricter control over data residency and environment settings. While it may require more infrastructure management, it grants unparalleled freedom to fine-tune the model on proprietary codebase patterns, which can be a significant advantage for specialized domains.

Decision Factors:

  • Performance vs. Control: Choose Claude for out-of-the-box reasoning excellence and deep integration with complex refactoring tasks.
  • Infrastructure Strategy: Opt for Mistral if your organization prioritizes open-source standards, deployment sovereignty, or the ability to fine-tune models on internal project data.
  • Use-Case Fit: Both models are capable, but the choice often comes down to whether your team is optimizing for immediate integration with a managed API or building custom, long-term infrastructure.

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.