Cost Optimization: 50K-Token Intent Classification with DeepSeek V4 Flash vs Mistral Small 3

DeepSeek V4 Flash vs Mistral Small 3
Complete Comparison: 50,000 input tokens × 100 output tokens
Comparison Mode
⚡ 80% Cached

Complete comparison of pricing, performance, and capabilities for 2 leading AI models with 80% Cached.

⚡ Caching Optimized (up to 90% savings) 📊 Batch API
Comparison Criteria DeepSeek V4 Flash
DeepSeek
Mistral Small 3
Mistral AI
Calculation Results (Current Inputs) (80% cached)
Input Tokens 50,000 50,000
Output Tokens 100 100
Cost Breakdown
Input Cost $0.003500Worst $0.001250Best
Output Cost $0.000028Worst $0.000008Best
Unit Cost (Audio/OCR) $0.000000 $0.000000
Service Fees $0.000000 $0.000000
Total Cost $0.001008 Most Expensive $0.000358 Best Value
Processing Time 1 minute, 18.80 seconds Slowest 1 minute, 13.18 seconds Fastest
Tokens per Second 650Slowest 700Fastest
Time to First Token 95ms Worst 90ms Best
Cost per 1K tokens $0.000020Worst $0.000007Best
Tokens per Dollar 49,702,381Worst Value 140,139,860Best Value
Cost per 1 Million Tokens (Informational)
Input Cost / 1M (Base) $0.070000Worst $0.025000 (rounded ~ $0.03)Best
Output Cost / 1M (Base) $0.280000Worst $0.075000 (rounded ~ $0.08)Best
Input Cost / 1M (Optimized) $0.070000Worst
Optimizations: No optimizations applied
$0.012500 (rounded ~ $0.01)Best
Optimizations: 50.0% batch
Output Cost / 1M (Optimized) $0.280000Worst
Optimizations: No optimizations applied
$0.037500 (rounded ~ $0.04)Best
Optimizations: 50.0% batch
Capabilities & Advanced Features
Images Support ✗ Not Supported ✓ Supported
Caching Support
80
✓ Supported ✓ Supported
Batch API Support ✗ Not Supported ✓ Supported
Tool Usage Support ✓ Supported ✓ Supported
Scroll horizontally to see all data

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Select AI Model

DeepSeek V4 Flash
DeepSeekMax Context: 1,000,000 tokens
$0.07 / $0.28 per 1M tokens
Use Batch API (50% discount)
80%
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

$0.000700 Input Cost
$0.000028 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
50,100Total Tokens
$0.000020Cost per 1K
49,702,381Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

1m 18s Processing Time
650 Tokens/Second
95ms Time to First Token
637 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.

DeepSeek V4 Flash DeepSeek 1000000

$0.001008
Total Cost
⚡ 80% Cached 📊 Batch API
👁️
Vision/Images
✗ Not Available
🎧
Audio Processing
✗ Not Available
🎥
Video Analysis
✗ Not Available
🔧
Tool Usage
✓ Available
📄
OCR Support
✗ Not Available
📊
Batch API
✗ Not Available
Caching
✓ Available
90% savings

💰 Total Cost Calculation (from Plugin)

Base Cost (No Optimizations) $0.003528 Input: $0.003500
Output: $0.000028
Optimized Cost $0.001008 Input: $0.003500
Output: $0.000028
Unit: $0.000000
Fees: $0.000000
Total Savings $0.002520 71.4% discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 100 output tokens:

  • Input Cost: $0.003500
  • Output Cost: $0.000028
  • Total Cost: $0.001008
  • Cost per 1K tokens: $0.000020
  • Tokens per dollar: 49,702,381 tokens
  • Context Window: 1000000 tokens

Speed & Performance Analysis

With a processing speed of 650 tokens per second and 95ms time to first token:

  • Processing Time: 1 minute, 18.80 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 637 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-throughput classification and extraction tasks where cost per request is the primary driver.

Want this applied to YOUR actual stack?

This calculator shows the math for DeepSeek V4 Flash. 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 Small 3 Mistral AI

$0.000358
Total Cost
⚡ 80% Cached 📊 Batch API
👁️
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) $0.001258 Input: $0.001250
Output: $0.000008
Optimized Cost $0.000358 Input: $0.001250
Output: $0.000008
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000900 71.6% discount

Advanced Cost Breakdown (from Plugin)

📊 Batch API
50.0% off
Asynchronous processing discount

Detailed Cost Analysis (from Plugin)

For 50,000 input tokens and 100 output tokens:

  • Input Cost: $0.001250
  • Output Cost: $0.000008
  • Total Cost: $0.000358
  • Cost per 1K tokens: $0.000007
  • Tokens per dollar: 140,139,860 tokens
  • Context Window: 128000 tokens

Speed & Performance Analysis

With a processing speed of 700 tokens per second and 90ms time to first token:

  • Processing Time: 1 minute, 13.18 seconds
  • Latency: 90 milliseconds to first token
  • Base Throughput: 700 tokens/second
  • Effective Throughput: 686 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-throughput classification and extraction tasks where cost per request is the primary driver.

Want this applied to YOUR actual stack?

This calculator shows the math for Mistral Small 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 DeepSeek V4 Flash
📋 Active Input Parameters
Input Tokens: 50,000
Output Tokens: 100
Batch API: Enabled (50% discount)
Cached Tokens: 80%
Rank AI Model & Provider Total Cost vs DeepSeek V4 Flash vs Mistral Small 3
🏆 Mistral Small 3
Mistral AI
$0.000358 Best Value ↓ 64.5% cheaper Same price
🥈 Devstral Small 2
Mistral AI
$0.000358 ↓ 64.5% cheaper Same price
🥉 Ministral 3 (14B)
Mistral AI
$0.000705 ↓ 30.1% cheaper ↑ 97.2% more
#4 Grok Code Fast 1
xAI
$0.000738 ↓ 26.8% cheaper ↑ 106.3% more
#5 Gemini 3.1 Flash Lite
Google
$0.000913 ↓ 9.5% cheaper ↑ 155.2% more
#6 Nemotron 3 Super
Mistral AI
$0.001071 ↑ 6.2% more ↑ 199.4% more
#7 Gemini 2.5 Flash
Google
$0.001113 ↑ 10.4% more ↑ 211.2% more
#8 Devstral 2
Mistral AI
$0.001423 ↑ 41.1% more ↑ 297.9% more
#9 Mistral Large 3
Mistral AI
$0.001788 ↑ 77.3% more ↑ 400% more
#10 GPT-5.4 mini
OpenAI
$0.002738 ↑ 171.6% more ↑ 665.7% more
#11 o4-mini Deep Research
OpenAI
$0.003600 ↑ 257.1% more ↑ 907% more
#12 Claude Haiku 4.5
Anthropic
$0.003625 ↑ 259.6% more ↑ 914% more
#13 Gemini 3.1 Flash
Google
$0.003650 ↑ 262.1% more ↑ 921% more
#14 o4-mini
OpenAI
$0.003960 ↑ 292.9% more ↑ 1007.7% more
#15 Grok 4.3
xAI
$0.004438 ↑ 340.2% more ↑ 1141.3% more
#16 Gemini 3.5 Flash
Google
$0.005475 (rounded ~ $0.01) ↑ 443.2% more ↑ 1431.5% more
#17 GPT-5.3 Codex Spark
OpenAI
$0.006475 (rounded ~ $0.01) ↑ 542.4% more ↑ 1711.2% more
#18 GPT-5.3 Instant
OpenAI
$0.006475 (rounded ~ $0.01) ↑ 542.4% more ↑ 1711.2% more
#19 Magistral Medium
Mistral AI
$0.007125 (rounded ~ $0.01) ↑ 606.8% more ↑ 1893% more
#20 Grok 4.20 Beta
xAI
$0.007150 (rounded ~ $0.01) ↑ 609.3% more ↑ 1900% more
#21 Gemini 2.5 Pro
Google
$0.009250 ↑ 817.7% more ↑ 2487.4% more
#22 Claude Sonnet 4.6
Anthropic
$0.010875 ↑ 978.9% more ↑ 2942% more
#23 Gemini 3.1 Pro
Google
$0.014600 (rounded ~ $0.01) ↑ 1348.4% more ↑ 3983.9% more
#24 Claude Opus 4.7
Anthropic
$0.018125 (rounded ~ $0.02) ↑ 1698.1% more ↑ 4969.9% more
#25 Claude Opus 4.8
Anthropic
$0.018125 (rounded ~ $0.02) ↑ 1698.1% more ↑ 4969.9% more
#26 Claude Opus 4.6
Anthropic
$0.018125 (rounded ~ $0.02) ↑ 1698.1% more ↑ 4969.9% more
#27 GPT-5.4
OpenAI
$0.018250 (rounded ~ $0.02) ↑ 1710.5% more ↑ 5004.9% more
#28 GPT-5.4 Thinking
OpenAI
$0.018250 (rounded ~ $0.02) ↑ 1710.5% more ↑ 5004.9% more
#29 GPT-5.5 Instant
OpenAI
$0.018250 (rounded ~ $0.02) ↑ 1710.5% more ↑ 5004.9% more
#30 o3 Deep Research
OpenAI
$0.036000 (rounded ~ $0.04) ↑ 3471.4% more ↑ 9969.9% more
#31 GPT-5.5
OpenAI
$0.036500 (rounded ~ $0.04) ↑ 3521% more ↑ 10109.8% more
#32 o3 Pro
OpenAI
$0.072000 (rounded ~ $0.07) ↑ 7042.9% more ↑ 20039.9% more
#33 GPT-5.2 Pro
OpenAI
$0.077700 (rounded ~ $0.08) ↑ 7608.3% more ↑ 21634.3% more
#34 GPT-5.2 Pro
OpenAI
$0.077700 (rounded ~ $0.08) ↑ 7608.3% more ↑ 21634.3% more
🏆

Mistral Small 3
Mistral AI

$0.000358
vs DeepSeek V4 Flash: ↓ 64.5%
vs Mistral Small 3: Same
🥈

Devstral Small 2
Mistral AI

$0.000358
vs DeepSeek V4 Flash: ↓ 64.5%
vs Mistral Small 3: Same
🥉

Ministral 3 (14B)
Mistral AI

$0.000705
vs DeepSeek V4 Flash: ↓ 30.1%
vs Mistral Small 3: ↑ 97.2%
#4

Grok Code Fast 1
xAI

$0.000738
vs DeepSeek V4 Flash: ↓ 26.8%
vs Mistral Small 3: ↑ 106.3%
#5

Gemini 3.1 Flash Lite
Google

$0.000913
vs DeepSeek V4 Flash: ↓ 9.5%
vs Mistral Small 3: ↑ 155.2%
#6

Nemotron 3 Super
Mistral AI

$0.001071
vs DeepSeek V4 Flash: ↑ 6.2%
vs Mistral Small 3: ↑ 199.4%
#7

Gemini 2.5 Flash
Google

$0.001113
vs DeepSeek V4 Flash: ↑ 10.4%
vs Mistral Small 3: ↑ 211.2%
#8

Devstral 2
Mistral AI

$0.001423
vs DeepSeek V4 Flash: ↑ 41.1%
vs Mistral Small 3: ↑ 297.9%
#9

Mistral Large 3
Mistral AI

$0.001788
vs DeepSeek V4 Flash: ↑ 77.3%
vs Mistral Small 3: ↑ 400%
#10

GPT-5.4 mini
OpenAI

$0.002738
vs DeepSeek V4 Flash: ↑ 171.6%
vs Mistral Small 3: ↑ 665.7%
#11

o4-mini Deep Research
OpenAI

$0.003600
vs DeepSeek V4 Flash: ↑ 257.1%
vs Mistral Small 3: ↑ 907%
#12

Claude Haiku 4.5
Anthropic

$0.003625
vs DeepSeek V4 Flash: ↑ 259.6%
vs Mistral Small 3: ↑ 914%
#13

Gemini 3.1 Flash
Google

$0.003650
vs DeepSeek V4 Flash: ↑ 262.1%
vs Mistral Small 3: ↑ 921%
#14

o4-mini
OpenAI

$0.003960
vs DeepSeek V4 Flash: ↑ 292.9%
vs Mistral Small 3: ↑ 1007.7%
#15

Grok 4.3
xAI

$0.004438
vs DeepSeek V4 Flash: ↑ 340.2%
vs Mistral Small 3: ↑ 1141.3%
#16

Gemini 3.5 Flash
Google

$0.005475 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 443.2%
vs Mistral Small 3: ↑ 1431.5%
#17

GPT-5.3 Codex Spark
OpenAI

$0.006475 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 542.4%
vs Mistral Small 3: ↑ 1711.2%
#18

GPT-5.3 Instant
OpenAI

$0.006475 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 542.4%
vs Mistral Small 3: ↑ 1711.2%
#19

Magistral Medium
Mistral AI

$0.007125 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 606.8%
vs Mistral Small 3: ↑ 1893%
#20

Grok 4.20 Beta
xAI

$0.007150 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 609.3%
vs Mistral Small 3: ↑ 1900%
#21

Gemini 2.5 Pro
Google

$0.009250
vs DeepSeek V4 Flash: ↑ 817.7%
vs Mistral Small 3: ↑ 2487.4%
#22

Claude Sonnet 4.6
Anthropic

$0.010875
vs DeepSeek V4 Flash: ↑ 978.9%
vs Mistral Small 3: ↑ 2942%
#23

Gemini 3.1 Pro
Google

$0.014600 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1348.4%
vs Mistral Small 3: ↑ 3983.9%
#24

Claude Opus 4.7
Anthropic

$0.018125 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 1698.1%
vs Mistral Small 3: ↑ 4969.9%
#25

Claude Opus 4.8
Anthropic

$0.018125 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 1698.1%
vs Mistral Small 3: ↑ 4969.9%
#26

Claude Opus 4.6
Anthropic

$0.018125 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 1698.1%
vs Mistral Small 3: ↑ 4969.9%
#27

GPT-5.4
OpenAI

$0.018250 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 1710.5%
vs Mistral Small 3: ↑ 5004.9%
#28

GPT-5.4 Thinking
OpenAI

$0.018250 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 1710.5%
vs Mistral Small 3: ↑ 5004.9%
#29

GPT-5.5 Instant
OpenAI

$0.018250 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 1710.5%
vs Mistral Small 3: ↑ 5004.9%
#30

o3 Deep Research
OpenAI

$0.036000 (rounded ~ $0.04)
vs DeepSeek V4 Flash: ↑ 3471.4%
vs Mistral Small 3: ↑ 9969.9%
#31

GPT-5.5
OpenAI

$0.036500 (rounded ~ $0.04)
vs DeepSeek V4 Flash: ↑ 3521%
vs Mistral Small 3: ↑ 10109.8%
#32

o3 Pro
OpenAI

$0.072000 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 7042.9%
vs Mistral Small 3: ↑ 20039.9%
#33

GPT-5.2 Pro
OpenAI

$0.077700 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 7608.3%
vs Mistral Small 3: ↑ 21634.3%
#34

GPT-5.2 Pro
OpenAI

$0.077700 (rounded ~ $0.08)
vs DeepSeek V4 Flash: ↑ 7608.3%
vs Mistral Small 3: ↑ 21634.3%
✨ 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.

Scalable Intent Classification

In high-volume voice agent backends, classifying user intent is a recurring task that demands both speed and extreme cost efficiency. Intent classification is essentially a high-throughput, low-complexity workload where over-provisioning model intelligence creates unnecessary overhead. DeepSeek V4 Flash and Mistral Small 3 are designed to excel in this specific niche, offering the rapid inference needed to keep the agent’s turn-around time within acceptable limits.

DeepSeek V4 Flash is particularly aggressive in its efficiency, making it an excellent candidate for massive-scale classification tasks where input variety is high but the output structure is fixed. Mistral Small 3 provides a robust alternative, often preferred in environments where model consistency and adherence to specific output schemas are critical for the downstream agent logic. When determining which to integrate, look beyond throughput. Consider the model’s performance on edge cases specific to your domain—such as industry jargon or complex accents that might trigger misclassification. Both models offer the necessary speed to function in real-time pipelines, but the decision often pivots on which model better handles your specific taxonomy of intents. By offloading classification to these optimized models, you can reserve more expensive, higher-reasoning models for the actual fulfillment and multi-step tasks, effectively balancing performance and operational expenses at scale.

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.