Grok Code Fast 1: 10K-Token Code Suggestions for 5M-Monthly Pipelines

Complete Analysis: 10,500 tokens for Grok Code Fast 1
⚡ 75% Cached

Complete analysis of pricing, performance, and use cases for xAI's Grok Code Fast 1 model with 75% Cached.

⚡ Caching Optimized (up to 90% savings)
$0.001400 Total Cost
10,500 Total Tokens
16.23 seconds Processing Time
654 Effective Tokens/Sec

Click Recalculate to update after making changes

Select AI Model

Grok Code Fast 1

xAIMax Context: 256,000 tokens
$0.2 / $1.5 per 1M tokens
75%
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

$0.000500 Input Cost
$0.000750 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
$0.000133Cost per 1K
7,500,000Tokens per $

📊 Advanced Cost Breakdown

Processing Speed

16.23s Processing Time
700 Tokens/Second
110ms Time to First Token
654 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

Grok Code Fast 1 xAI

$0.001400
Total Cost
⚡ 75% Cached 🔧 Tools
👁️
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) $0.002750 Input: $0.002000
Output: $0.000750
Optimized Cost $0.001400 Input: $0.002000
Output: $0.000750
Unit: $0.000000
Fees: $0.000000
Total Savings $0.001350 49.1% discount

Detailed Cost Analysis (from Plugin)

For 10,000 input tokens and 500 output tokens:

  • Input Cost: $0.002000
  • Output Cost: $0.000750
  • Total Cost: $0.001400
  • Cost per 1K tokens: $0.000133
  • Tokens per dollar: 7,500,000 tokens
  • Context Window: 256000 tokens

Speed & Performance Analysis

With a processing speed of 700 tokens per second and 110ms time to first token:

  • Processing Time: 16.23 seconds
  • Latency: 110 milliseconds to first token
  • Base Throughput: 700 tokens/second
  • Effective Throughput: 654 tokens/second (temperature-adjusted)

Best Use Cases

Ideal for high-speedlow-latency code suggestions in clinical software development where developer productivity and system compliance are top priorities.

Want this applied to YOUR actual stack?

This calculator shows the math for Grok Code Fast 1. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.

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✨ Market Recommendations AI Model Registry

← Back to Grok Code Fast 1
📋 Active Input Parameters
Input Tokens: 10,000
Output Tokens: 500
Cached Tokens: 75%
Tools: Enabled
Rank AI Model & Provider Total Cost vs Grok Code Fast 1
🏆 Claude Haiku 5.5
Anthropic
$0.000575 Best Value ↓ 58.9% cheaper
🥈 GPT-6 Luna
OpenAI
$0.000575 ↓ 58.9% cheaper
🥉 GPT-5.6 Luna
OpenAI
$0.001250 ↓ 10.7% cheaper
#4 Gemini 3.1 Flash Lite
Google
$0.001563 ↑ 11.6% more
#5 Gemini 3.5 Flash-Lite
Google
$0.002225 ↑ 58.9% more
#6 Gemini 2.5 Flash
Google
$0.002225 ↑ 58.9% more
#7 Mistral Large 3
Mistral AI
$0.002375 ↑ 69.6% more
#8 Gemini 3.1 Flash
Google
$0.003125 ↑ 123.2% more
#9 Grok Build 0.1
xAI
$0.004250 ↑ 203.6% more
#10 Gemini 3.8 Flash
Google
$0.004313 ↑ 208% more
#11 Gemini 3.6 Flash
Google
$0.004313 ↑ 208% more
#12 GPT-5.4 mini
OpenAI
$0.004688 ↑ 234.8% more
#13 Grok 4.3
xAI
$0.005313 (rounded ~ $0.01) ↑ 279.5% more
#14 Grok 4.20 Beta
xAI
$0.005313 (rounded ~ $0.01) ↑ 279.5% more
#15 Claude Haiku 4.5
Anthropic
$0.005750 (rounded ~ $0.01) ↑ 310.7% more
#16 Mistral Large 4
Mistral AI
$0.006510 (rounded ~ $0.01) ↑ 365% more
#17 Gemini 2.5 Pro
Google
$0.009063 ↑ 547.3% more
#18 Grok 4.7
xAI
$0.009500 ↑ 578.6% more
#19 Grok 4.6
xAI
$0.009500 ↑ 578.6% more
#20 Grok 4.5
xAI
$0.009500 ↑ 578.6% more
#21 Claude Sonnet 5.5
Anthropic
$0.010750 ↑ 667.9% more
#22 Claude Sonnet 5
Anthropic
$0.011500 (rounded ~ $0.01) ↑ 721.4% more
#23 Gemini 4 Argon
Google
$0.011500 (rounded ~ $0.01) ↑ 721.4% more
#24 GPT-6.1 Sol
OpenAI
$0.011500 (rounded ~ $0.01) ↑ 721.4% more
#25 GPT-6 Sol
OpenAI
$0.011500 (rounded ~ $0.01) ↑ 721.4% more
#26 Gemini 3.1 Pro
Google
$0.012500 (rounded ~ $0.01) ↑ 792.9% more
#27 GPT-5.6 Terra
OpenAI
$0.012500 (rounded ~ $0.01) ↑ 792.9% more
#28 Kimi K3.1 Pro
Moonshot AI
$0.012550 (rounded ~ $0.01) ↑ 796.4% more
#29 GPT-5.3 Codex Spark
OpenAI
$0.012688 (rounded ~ $0.01) ↑ 806.3% more
#30 GPT-5.3 Instant
OpenAI
$0.012688 (rounded ~ $0.01) ↑ 806.3% more
#31 GPT-5.4
OpenAI
$0.015625 (rounded ~ $0.02) ↑ 1016.1% more
#32 GPT-5.4 Thinking
OpenAI
$0.015625 (rounded ~ $0.02) ↑ 1016.1% more
#33 Claude Sonnet 4.6
Anthropic
$0.017250 (rounded ~ $0.02) ↑ 1132.1% more
#34 Kimi K3
Moonshot AI
$0.018825 (rounded ~ $0.02) ↑ 1244.6% more
#35 Claude Opus 5.5
Anthropic
$0.021500 (rounded ~ $0.02) ↑ 1435.7% more
#36 GPT-5.6 Sol
OpenAI
$0.023000 (rounded ~ $0.02) ↑ 1542.9% more
#37 Claude Opus 4.7
Anthropic
$0.028750 (rounded ~ $0.03) ↑ 1953.6% more
#38 Claude Opus 5
Anthropic
$0.028750 (rounded ~ $0.03) ↑ 1953.6% more
#39 Claude Opus 4.8
Anthropic
$0.028750 (rounded ~ $0.03) ↑ 1953.6% more
#40 Claude Opus 4.6
Anthropic
$0.028750 (rounded ~ $0.03) ↑ 1953.6% more
#41 GPT-5.5
OpenAI
$0.031250 (rounded ~ $0.03) ↑ 2132.1% more
#42 GPT-5.5 Instant
OpenAI
$0.031250 (rounded ~ $0.03) ↑ 2132.1% more
#43 Muse Wonder 1.0
Meta AI
$0.050000 ↑ 3471.4% more
#44 Claude Fable 5.1
Anthropic
$0.051875 (rounded ~ $0.05) ↑ 3605.4% more
#45 Claude Mythos 5.1
Anthropic
$0.051875 (rounded ~ $0.05) ↑ 3605.4% more
#46 Claude Fable 5
Anthropic
$0.057500 (rounded ~ $0.06) ↑ 4007.1% more
#47 Claude Mythos 5
Anthropic
$0.057500 (rounded ~ $0.06) ↑ 4007.1% more
#48 GPT-6 Astra
OpenAI
$0.057500 (rounded ~ $0.06) ↑ 4007.1% more
#49 GPT-5.2 Pro
OpenAI
$0.152250 (rounded ~ $0.15) ↑ 10775% more
#50 GPT-5.2 Pro
OpenAI
$0.152250 (rounded ~ $0.15) ↑ 10775% more
🏆

Claude Haiku 5.5
Anthropic

$0.000575
vs Grok Code Fast 1: ↓ 58.9%
🥈

GPT-6 Luna
OpenAI

$0.000575
vs Grok Code Fast 1: ↓ 58.9%
🥉

GPT-5.6 Luna
OpenAI

$0.001250
vs Grok Code Fast 1: ↓ 10.7%
#4

Gemini 3.1 Flash Lite
Google

$0.001563
vs Grok Code Fast 1: ↑ 11.6%
#5

Gemini 3.5 Flash-Lite
Google

$0.002225
vs Grok Code Fast 1: ↑ 58.9%
#6

Gemini 2.5 Flash
Google

$0.002225
vs Grok Code Fast 1: ↑ 58.9%
#7

Mistral Large 3
Mistral AI

$0.002375
vs Grok Code Fast 1: ↑ 69.6%
#8

Gemini 3.1 Flash
Google

$0.003125
vs Grok Code Fast 1: ↑ 123.2%
#9

Grok Build 0.1
xAI

$0.004250
vs Grok Code Fast 1: ↑ 203.6%
#10

Gemini 3.8 Flash
Google

$0.004313
vs Grok Code Fast 1: ↑ 208%
#11

Gemini 3.6 Flash
Google

$0.004313
vs Grok Code Fast 1: ↑ 208%
#12

GPT-5.4 mini
OpenAI

$0.004688
vs Grok Code Fast 1: ↑ 234.8%
#13

Grok 4.3
xAI

$0.005313 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 279.5%
#14

Grok 4.20 Beta
xAI

$0.005313 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 279.5%
#15

Claude Haiku 4.5
Anthropic

$0.005750 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 310.7%
#16

Mistral Large 4
Mistral AI

$0.006510 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 365%
#17

Gemini 2.5 Pro
Google

$0.009063
vs Grok Code Fast 1: ↑ 547.3%
#18

Grok 4.7
xAI

$0.009500
vs Grok Code Fast 1: ↑ 578.6%
#19

Grok 4.6
xAI

$0.009500
vs Grok Code Fast 1: ↑ 578.6%
#20

Grok 4.5
xAI

$0.009500
vs Grok Code Fast 1: ↑ 578.6%
#21

Claude Sonnet 5.5
Anthropic

$0.010750
vs Grok Code Fast 1: ↑ 667.9%
#22

Claude Sonnet 5
Anthropic

$0.011500 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 721.4%
#23

Gemini 4 Argon
Google

$0.011500 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 721.4%
#24

GPT-6.1 Sol
OpenAI

$0.011500 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 721.4%
#25

GPT-6 Sol
OpenAI

$0.011500 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 721.4%
#26

Gemini 3.1 Pro
Google

$0.012500 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 792.9%
#27

GPT-5.6 Terra
OpenAI

$0.012500 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 792.9%
#28

Kimi K3.1 Pro
Moonshot AI

$0.012550 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 796.4%
#29

GPT-5.3 Codex Spark
OpenAI

$0.012688 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 806.3%
#30

GPT-5.3 Instant
OpenAI

$0.012688 (rounded ~ $0.01)
vs Grok Code Fast 1: ↑ 806.3%
#31

GPT-5.4
OpenAI

$0.015625 (rounded ~ $0.02)
vs Grok Code Fast 1: ↑ 1016.1%
#32

GPT-5.4 Thinking
OpenAI

$0.015625 (rounded ~ $0.02)
vs Grok Code Fast 1: ↑ 1016.1%
#33

Claude Sonnet 4.6
Anthropic

$0.017250 (rounded ~ $0.02)
vs Grok Code Fast 1: ↑ 1132.1%
#34

Kimi K3
Moonshot AI

$0.018825 (rounded ~ $0.02)
vs Grok Code Fast 1: ↑ 1244.6%
#35

Claude Opus 5.5
Anthropic

$0.021500 (rounded ~ $0.02)
vs Grok Code Fast 1: ↑ 1435.7%
#36

GPT-5.6 Sol
OpenAI

$0.023000 (rounded ~ $0.02)
vs Grok Code Fast 1: ↑ 1542.9%
#37

Claude Opus 4.7
Anthropic

$0.028750 (rounded ~ $0.03)
vs Grok Code Fast 1: ↑ 1953.6%
#38

Claude Opus 5
Anthropic

$0.028750 (rounded ~ $0.03)
vs Grok Code Fast 1: ↑ 1953.6%
#39

Claude Opus 4.8
Anthropic

$0.028750 (rounded ~ $0.03)
vs Grok Code Fast 1: ↑ 1953.6%
#40

Claude Opus 4.6
Anthropic

$0.028750 (rounded ~ $0.03)
vs Grok Code Fast 1: ↑ 1953.6%
#41

GPT-5.5
OpenAI

$0.031250 (rounded ~ $0.03)
vs Grok Code Fast 1: ↑ 2132.1%
#42

GPT-5.5 Instant
OpenAI

$0.031250 (rounded ~ $0.03)
vs Grok Code Fast 1: ↑ 2132.1%
#43

Muse Wonder 1.0
Meta AI

$0.050000
vs Grok Code Fast 1: ↑ 3471.4%
#44

Claude Fable 5.1
Anthropic

$0.051875 (rounded ~ $0.05)
vs Grok Code Fast 1: ↑ 3605.4%
#45

Claude Mythos 5.1
Anthropic

$0.051875 (rounded ~ $0.05)
vs Grok Code Fast 1: ↑ 3605.4%
#46

Claude Fable 5
Anthropic

$0.057500 (rounded ~ $0.06)
vs Grok Code Fast 1: ↑ 4007.1%
#47

Claude Mythos 5
Anthropic

$0.057500 (rounded ~ $0.06)
vs Grok Code Fast 1: ↑ 4007.1%
#48

GPT-6 Astra
OpenAI

$0.057500 (rounded ~ $0.06)
vs Grok Code Fast 1: ↑ 4007.1%
#49

GPT-5.2 Pro
OpenAI

$0.152250 (rounded ~ $0.15)
vs Grok Code Fast 1: ↑ 10775%
#50

GPT-5.2 Pro
OpenAI

$0.152250 (rounded ~ $0.15)
vs Grok Code Fast 1: ↑ 10775%
✨ 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.

Optimizing Clinical Documentation Pipelines with Code Generation

For healthcare administrators managing clinical documentation systems, the choice of an AI coding assistant is about balancing speed, accuracy, and rigorous audit trails. Grok Code Fast 1 has emerged as a high-performance option for IDE integrations, particularly for teams requiring rapid, low-latency feedback during the development of medical records management software.

When working within a healthcare IT environment, the stability of the code generation process is paramount. Grok Code Fast 1 excels in this regard, offering a streamlined experience for inline code suggestions. Its architecture is specifically tuned for agentic workflows, meaning it handles complex, multi-file refactoring and bug fixing in legacy clinical databases with fewer interventions. This responsiveness is vital when maintaining HIPAA-compliant systems where every minute of downtime or developer friction impacts clinical workflows.

The model’s ability to handle 10K-token context windows effectively allows it to ingest large swathes of documentation logic and medical terminology mapping, ensuring suggestions are contextually aware of the specific healthcare standards being used. Administrators should consider this model when the priority is maintaining a high-velocity development cycle for internal tools. Unlike generalist models, this specialized approach reduces the likelihood of hallucinations in code, which is essential when building modules that interface with sensitive patient data or electronic health record (EHR) APIs. By integrating a model that understands the intricacies of clinical software development, teams can significantly improve their build-out efficiency while maintaining the necessary compliance oversight.

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.