Cheapest Model for 10,000 Tokens Code Review: DeepSeek V4 Flash

Complete Analysis: 12,000 tokens for DeepSeek V4 Flash
⚡ 40% Cached

Complete analysis of pricing, performance, and use cases for DeepSeek's DeepSeek V4 Flash model with 40% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.001008 Total Cost
12,000 Total Tokens
19.93 seconds Processing Time
607 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

DeepSeek V4 Flash
DeepSeekMax Context: 1,000,000 tokens
$0.07 / $0.28 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

$0.001008 Total Cost
$0.000420 Input Cost
$0.000560 Output Cost
$0.000000 Unit Cost
$0.000000 Search Cost
$0.000000 Request Fee
$0.000000 Tool Fee
$0.000000 Code Execution
12,000Total Tokens
$0.000084Cost per 1K
11,904,762Tokens per $
📊 Advanced Cost Breakdown

Processing Speed

19.93s Processing Time
650 Tokens/Second
95ms Time to First Token
607 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

DeepSeek V4 Flash DeepSeek 1000000

$0.001008
Total Cost
⚡ 40% 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) $0.001260 Input: $0.000700
Output: $0.000560
Optimized Cost $0.001008 Input: $0.000700
Output: $0.000560
Unit: $0.000000
Fees: $0.000000
Total Savings $0.000252 20.0% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 2,000 output tokens:

  • Input Cost: $0.000700
  • Output Cost: $0.000560
  • Total Cost: $0.001008
  • Cost per 1K tokens: $0.000084
  • Tokens per dollar: 11,904,762 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: 19.93 seconds
  • Latency: 95 milliseconds to first token
  • Base Throughput: 650 tokens/second
  • Effective Throughput: 607 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for cost-conscious developers and researchers needing efficient text processing for prototyping and low-volume analysis tasks.

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✨ Market Recommendations AI Model Registry

← Back to DeepSeek V4 Flash
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 2,000
Batch API: Enabled (50% discount)
Cached Tokens: 40%
Rank AI Model & Provider Total Cost vs DeepSeek V4 Flash
🏆 Mistral Small 3
Mistral AI
 $0.000310 Best Value ↓ 69.2% cheaper
🥈 Voxtral Small 24B
Mistral AI
 $0.000310 ↓ 69.2% cheaper
🥉 Devstral Small 2
Mistral AI
 $0.000310 ↓ 69.2% cheaper
#4 Ministral 3 (14B)
Mistral AI
 $0.000420 ↓ 58.3% cheaper
#5 Nemotron 3 Super
Mistral AI
 $0.000890 ↓ 11.7% cheaper
#6 Grok Code Fast 1
xAI
 $0.001070 ↑ 6.2% more
#7 Devstral 2
Mistral AI
 $0.001090 ↑ 8.1% more
#8 Gemini 3.1 Flash Lite
Google
 $0.001150 ↑ 14.1% more
#9 Mistral Large 3
Mistral AI
 $0.001550 ↑ 53.8% more
#10 Gemini 2.5 Flash
Google
 $0.001730 ↑ 71.6% more
#11 Grok 4.3
xAI
 $0.003250 ↑ 222.4% more
#12 GPT-5.4 mini
OpenAI
 $0.003450 ↑ 242.3% more
#13 o4-mini Deep Research
OpenAI
 $0.003600 ↑ 257.1% more
#14 o4-mini
OpenAI
 $0.003960 ↑ 292.9% more
#15 Claude Haiku 4.5
Anthropic
 $0.004100 ↑ 306.7% more
#16 Gemini 3.1 Flash
Google
 $0.004600 ↑ 356.3% more
#17 Magistral Medium
Mistral AI
 $0.005700 (rounded ~ $0.01) ↑ 465.5% more
#18 Grok 4.20 Beta
xAI
 $0.006200 (rounded ~ $0.01) ↑ 515.1% more
#19 Gemini 3.5 Flash
Google
 $0.006900 (rounded ~ $0.01) ↑ 584.5% more
#20 GPT-5.3 Codex Spark
OpenAI
 $0.009800 ↑ 872.2% more
#21 GPT-5.3 Instant
OpenAI
 $0.009800 ↑ 872.2% more
#22 Claude Sonnet 4.6
Anthropic
 $0.012300 (rounded ~ $0.01) ↑ 1120.2% more
#23 Gemini 2.5 Pro
Google
 $0.014000 (rounded ~ $0.01) ↑ 1288.9% more
#24 Gemini 3.1 Pro
Google
 $0.018400 (rounded ~ $0.02) ↑ 1725.4% more
#25 Claude Opus 4.7
Anthropic
 $0.020500 ↑ 1933.7% more
#26 Claude Opus 4.8
Anthropic
 $0.020500 ↑ 1933.7% more
#27 Claude Opus 4.6
Anthropic
 $0.020500 ↑ 1933.7% more
#28 GPT-5.4
OpenAI
 $0.023000 (rounded ~ $0.02) ↑ 2181.7% more
#29 GPT-5.4 Thinking
OpenAI
 $0.023000 (rounded ~ $0.02) ↑ 2181.7% more
#30 GPT-5.5 Instant
OpenAI
 $0.023000 (rounded ~ $0.02) ↑ 2181.7% more
#31 o3 Deep Research
OpenAI
 $0.036000 (rounded ~ $0.04) ↑ 3471.4% more
#32 GPT-5.5
OpenAI
 $0.046000 (rounded ~ $0.05) ↑ 4463.5% more
#33 o3 Pro
OpenAI
 $0.072000 (rounded ~ $0.07) ↑ 7042.9% more
#34 GPT-5.2 Pro
OpenAI
 $0.117600 (rounded ~ $0.12) ↑ 11566.7% more
#35 GPT-5.2 Pro
OpenAI
 $0.117600 (rounded ~ $0.12) ↑ 11566.7% more
🏆

Mistral Small 3
Mistral AI

$0.000310
vs DeepSeek V4 Flash: ↓ 69.2%
🥈

Voxtral Small 24B
Mistral AI

$0.000310
vs DeepSeek V4 Flash: ↓ 69.2%
🥉

Devstral Small 2
Mistral AI

$0.000310
vs DeepSeek V4 Flash: ↓ 69.2%
#4

Ministral 3 (14B)
Mistral AI

$0.000420
vs DeepSeek V4 Flash: ↓ 58.3%
#5

Nemotron 3 Super
Mistral AI

$0.000890
vs DeepSeek V4 Flash: ↓ 11.7%
#6

Grok Code Fast 1
xAI

$0.001070
vs DeepSeek V4 Flash: ↑ 6.2%
#7

Devstral 2
Mistral AI

$0.001090
vs DeepSeek V4 Flash: ↑ 8.1%
#8

Gemini 3.1 Flash Lite
Google

$0.001150
vs DeepSeek V4 Flash: ↑ 14.1%
#9

Mistral Large 3
Mistral AI

$0.001550
vs DeepSeek V4 Flash: ↑ 53.8%
#10

Gemini 2.5 Flash
Google

$0.001730
vs DeepSeek V4 Flash: ↑ 71.6%
#11

Grok 4.3
xAI

$0.003250
vs DeepSeek V4 Flash: ↑ 222.4%
#12

GPT-5.4 mini
OpenAI

$0.003450
vs DeepSeek V4 Flash: ↑ 242.3%
#13

o4-mini Deep Research
OpenAI

$0.003600
vs DeepSeek V4 Flash: ↑ 257.1%
#14

o4-mini
OpenAI

$0.003960
vs DeepSeek V4 Flash: ↑ 292.9%
#15

Claude Haiku 4.5
Anthropic

$0.004100
vs DeepSeek V4 Flash: ↑ 306.7%
#16

Gemini 3.1 Flash
Google

$0.004600
vs DeepSeek V4 Flash: ↑ 356.3%
#17

Magistral Medium
Mistral AI

$0.005700 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 465.5%
#18

Grok 4.20 Beta
xAI

$0.006200 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 515.1%
#19

Gemini 3.5 Flash
Google

$0.006900 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 584.5%
#20

GPT-5.3 Codex Spark
OpenAI

$0.009800
vs DeepSeek V4 Flash: ↑ 872.2%
#21

GPT-5.3 Instant
OpenAI

$0.009800
vs DeepSeek V4 Flash: ↑ 872.2%
#22

Claude Sonnet 4.6
Anthropic

$0.012300 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1120.2%
#23

Gemini 2.5 Pro
Google

$0.014000 (rounded ~ $0.01)
vs DeepSeek V4 Flash: ↑ 1288.9%
#24

Gemini 3.1 Pro
Google

$0.018400 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 1725.4%
#25

Claude Opus 4.7
Anthropic

$0.020500
vs DeepSeek V4 Flash: ↑ 1933.7%
#26

Claude Opus 4.8
Anthropic

$0.020500
vs DeepSeek V4 Flash: ↑ 1933.7%
#27

Claude Opus 4.6
Anthropic

$0.020500
vs DeepSeek V4 Flash: ↑ 1933.7%
#28

GPT-5.4
OpenAI

$0.023000 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 2181.7%
#29

GPT-5.4 Thinking
OpenAI

$0.023000 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 2181.7%
#30

GPT-5.5 Instant
OpenAI

$0.023000 (rounded ~ $0.02)
vs DeepSeek V4 Flash: ↑ 2181.7%
#31

o3 Deep Research
OpenAI

$0.036000 (rounded ~ $0.04)
vs DeepSeek V4 Flash: ↑ 3471.4%
#32

GPT-5.5
OpenAI

$0.046000 (rounded ~ $0.05)
vs DeepSeek V4 Flash: ↑ 4463.5%
#33

o3 Pro
OpenAI

$0.072000 (rounded ~ $0.07)
vs DeepSeek V4 Flash: ↑ 7042.9%
#34

GPT-5.2 Pro
OpenAI

$0.117600 (rounded ~ $0.12)
vs DeepSeek V4 Flash: ↑ 11566.7%
#35

GPT-5.2 Pro
OpenAI

$0.117600 (rounded ~ $0.12)
vs DeepSeek V4 Flash: ↑ 11566.7%
✨ 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.

Evaluating Cost-Effectiveness for Code Review Assistants

This analysis focuses on processing 10,000 tokens for code review tasks, a volume suitable for evaluating individual pull requests or smaller code snippets. For academic researchers and indie developers prioritizing budget, understanding the most cost-effective AI models is crucial for prototyping and MVP development.

When aiming for the lowest cost per token, DeepSeek V4 Flash emerges as a compelling option. Its pricing structure is among the most competitive, making it ideal for small-scale, experimental projects where every dollar counts.

DeepSeek V4 Flash: The Budget Champion

DeepSeek V4 Flash is engineered for efficiency, offering a significant context window (1,000,000 tokens) at an exceptionally low price point. For our benchmark of 10,000 tokens, the estimated cost is remarkably low, approximately $0.0014 per call (based on $0.14 per 1 million tokens). This makes it an excellent choice for tasks that can be batched or for frequent testing during development.

While its capabilities are primarily text-focused, its efficiency means that even demanding code review tasks, such as summarizing changes or identifying potential bugs in smaller diffs, can be handled without breaking the bank. Its ‘thinking’ and ‘cache’ capabilities also suggest potential for optimizing repeated analysis tasks.

  • Model Name: DeepSeek V4 Flash
  • Provider: DeepSeek
  • Context Window: 1,000,000 tokens
  • Pricing (per 1M tokens): $0.14 (input) / $0.28 (output)
  • Estimated Cost for 10K Tokens: ~$0.0014
  • Key Capabilities: text, cache, thinking

Use Case: Code Review Assistant

For a code review assistant prototype, DeepSeek V4 Flash can process pull request diffs within the 10K token range. While it might not offer the most sophisticated reasoning for complex architectural suggestions, it excels at quick analysis, summarization of changes, and flagging basic issues. This allows developers to iterate rapidly on their AI tools without incurring high operational costs.

The model’s affordability makes it suitable for hobbyists, students, or developers building an MVP who need to validate their ideas quickly. The large context window, though not fully utilized in this 10K token scenario, provides headroom for future scaling if needed.

Best Use Cases: Cost-sensitive text analysis, rapid prototyping of AI assistants, and scenarios where high-volume, low-complexity tasks are dominant.

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.