Grok 4.5 xAI 🏔️ Context Cliff
$1.652000 (rounded ~ $1.65)
Total Cost
⚠️ Bulk Calculation: Total volume exceeds single-request limit of 500,000 tokens. Budgeting mode active.
Vision/Images
✓ 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)
$2.012000 (rounded ~ $2.01)
Input: $2.000000
Output: $0.012000 (rounded ~ $0.01)
Output: $0.012000 (rounded ~ $0.01)
Optimized Cost
$1.652000 (rounded ~ $1.65)
Input: $2.000000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Total Savings
$0.360000
17.9% discount
Advanced Cost Breakdown (from Plugin)
🏔️ Context Cliff
Premium Tier
>200,000 tokens triggered premium pricing
📊 Cliff Pricing
Premium
premium pricing (threshold: 200,000)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 1,000 output tokens:
- Input Cost: $2.000000
- Output Cost: $0.012000 (rounded ~ $0.01)
- Total Cost: $1.652000 (rounded ~ $1.65)
- Cost per 1K tokens: $0.003297
- Tokens per dollar: 303,269 tokens
- Context Window: 500000 tokens
Speed & Performance Analysis
With a processing speed of 90 tokens per second and 210ms time to first token:
- Processing Time: 1 hour, 35 minutes, 33.85 seconds
- Latency: 210 milliseconds to first token
- Base Throughput: 90 tokens/second
- Effective Throughput: 87 tokens/second (temperature-adjusted)
Best Use Cases
Ideal for clinical pipelines requiring complex reasoning and structured output extraction from long-form medical transcripts.
Want this applied to YOUR actual stack?
This calculator shows the math for Grok 4.5. 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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← Back to Grok 4.5
📋 Active Input Parameters
Input Tokens:
500,000
Output Tokens:
1,000
Cached Tokens:
20%
Tools:
Enabled
| Rank | AI Model & Provider | Total Cost | vs Grok 4.5 |
|---|---|---|---|
| 🏆 |
GPT-6 Luna
OpenAI
|
$0.082750 (rounded ~ $0.08) Best Value | ↓ 95% cheaper |
| 🥈 |
GPT-5.6 Luna
OpenAI
|
$0.083200 (rounded ~ $0.08) | ↓ 95% cheaper |
| 🥉 |
Gemini 3.1 Flash Lite
Google
|
$0.104000 (rounded ~ $0.10) | ↓ 93.7% cheaper |
| #4 |
Gemini 3.5 Flash-Lite
Google
|
$0.125500 (rounded ~ $0.13) | ↓ 92.4% cheaper |
| #5 |
Gemini 2.5 Flash
Google
|
$0.125500 (rounded ~ $0.13) | ↓ 92.4% cheaper |
| #6 |
Claude Haiku 5.5
Anthropic
|
$0.207500 (rounded ~ $0.21) | ↓ 87.4% cheaper |
| #7 |
Gemini 3.8 Flash
Google
|
$0.311250 (rounded ~ $0.31) | ↓ 81.2% cheaper |
| #8 |
Gemini 3.6 Flash
Google
|
$0.311250 (rounded ~ $0.31) | ↓ 81.2% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.416000 (rounded ~ $0.42) | ↓ 74.8% cheaper |
| #10 |
Mistral Large 4
Mistral AI
|
$0.561780 (rounded ~ $0.56) | ↓ 66% cheaper |
| #11 |
Claude Sonnet 5.5
Anthropic
|
$0.820000 | ↓ 50.4% cheaper |
| #12 |
Claude Sonnet 5
Anthropic
|
$0.830000 | ↓ 49.8% cheaper |
| #13 |
Gemini 4 Argon
Google
|
$0.830000 | ↓ 49.8% cheaper |
| #14 |
GPT-5.6 Terra
OpenAI
|
$0.832000 (rounded ~ $0.83) | ↓ 49.6% cheaper |
| #15 |
Kimi K3.1 Pro
Moonshot AI
|
$0.844000 (rounded ~ $0.84) | ↓ 48.9% cheaper |
| #16 |
Grok 4.3
xAI
|
$1.030000 | ↓ 37.7% cheaper |
| #17 |
Grok 4.20 Beta
xAI
|
$1.030000 | ↓ 37.7% cheaper |
| #18 |
Gemini 2.5 Pro
Google
|
$1.040000 | ↓ 37% cheaper |
| #19 |
Claude Sonnet 4.6
Anthropic
|
$1.245000 (rounded ~ $1.25) | ↓ 24.6% cheaper |
| #20 |
Kimi K3
Moonshot AI
|
$1.266000 (rounded ~ $1.27) | ↓ 23.4% cheaper |
| #21 |
Claude Opus 5.5
Anthropic
|
$1.640000 | ↓ 0.7% cheaper |
| #22 |
GPT-6.1 Sol
OpenAI
|
$1.655000 (rounded ~ $1.66) | ↑ 0.2% more |
| #23 |
GPT-6 Sol
OpenAI
|
$1.655000 (rounded ~ $1.66) | ↑ 0.2% more |
| #24 |
Gemini 3.1 Pro
Google
|
$1.658000 (rounded ~ $1.66) | ↑ 0.4% more |
| #25 |
GPT-5.6 Sol
OpenAI
|
$1.660000 | ↑ 0.5% more |
| #26 |
Muse Wonder 1.0
Meta AI
|
$2.020000 | ↑ 22.3% more |
| #27 |
GPT-5.4
OpenAI
|
$2.072500 (rounded ~ $2.07) | ↑ 25.5% more |
| #28 |
GPT-5.4 Thinking
OpenAI
|
$2.072500 (rounded ~ $2.07) | ↑ 25.5% more |
| #29 |
Claude Opus 4.7
Anthropic
|
$2.075000 (rounded ~ $2.08) | ↑ 25.6% more |
| #30 |
Claude Opus 5
Anthropic
|
$2.075000 (rounded ~ $2.08) | ↑ 25.6% more |
| #31 |
Claude Opus 4.8
Anthropic
|
$2.075000 (rounded ~ $2.08) | ↑ 25.6% more |
| #32 |
Claude Opus 4.6
Anthropic
|
$2.075000 (rounded ~ $2.08) | ↑ 25.6% more |
| #33 |
Claude Fable 5.1
Anthropic
|
$4.075000 (rounded ~ $4.08) | ↑ 146.7% more |
| #34 |
Claude Mythos 5.1
Anthropic
|
$4.075000 (rounded ~ $4.08) | ↑ 146.7% more |
| #35 |
GPT-5.5
OpenAI
|
$4.145000 (rounded ~ $4.15) | ↑ 150.9% more |
| #36 |
Claude Fable 5
Anthropic
|
$4.150000 | ↑ 151.2% more |
| #37 |
Claude Mythos 5
Anthropic
|
$4.150000 | ↑ 151.2% more |
| #38 |
GPT-6 Astra
OpenAI
|
$8.300000 | ↑ 402.4% more |
| #39 |
GPT-6 Astra
OpenAI
|
$8.300000 | ↑ 402.4% more |
🏆
GPT-6 Luna
GPT-6 Luna OpenAI
$0.082750 (rounded ~ $0.08)
vs Grok 4.5:
↓ 95%
🥈
GPT-5.6 Luna
GPT-5.6 Luna OpenAI
$0.083200 (rounded ~ $0.08)
vs Grok 4.5:
↓ 95%
🥉
Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite Google
$0.104000 (rounded ~ $0.10)
vs Grok 4.5:
↓ 93.7%
#4
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite Google
$0.125500 (rounded ~ $0.13)
vs Grok 4.5:
↓ 92.4%
#5
Gemini 2.5 Flash
Gemini 2.5 Flash Google
$0.125500 (rounded ~ $0.13)
vs Grok 4.5:
↓ 92.4%
#6
Claude Haiku 5.5
Claude Haiku 5.5 Anthropic
$0.207500 (rounded ~ $0.21)
vs Grok 4.5:
↓ 87.4%
#7
Gemini 3.8 Flash
Gemini 3.8 Flash Google
$0.311250 (rounded ~ $0.31)
vs Grok 4.5:
↓ 81.2%
#8
Gemini 3.6 Flash
Gemini 3.6 Flash Google
$0.311250 (rounded ~ $0.31)
vs Grok 4.5:
↓ 81.2%
#9
Gemini 3.1 Flash
Gemini 3.1 Flash Google
$0.416000 (rounded ~ $0.42)
vs Grok 4.5:
↓ 74.8%
#10
Mistral Large 4
Mistral Large 4 Mistral AI
$0.561780 (rounded ~ $0.56)
vs Grok 4.5:
↓ 66%
#11
Claude Sonnet 5.5
Claude Sonnet 5.5 Anthropic
$0.820000
vs Grok 4.5:
↓ 50.4%
#12
Claude Sonnet 5
Claude Sonnet 5 Anthropic
$0.830000
vs Grok 4.5:
↓ 49.8%
#13
Gemini 4 Argon
Gemini 4 Argon Google
$0.830000
vs Grok 4.5:
↓ 49.8%
#14
GPT-5.6 Terra
GPT-5.6 Terra OpenAI
$0.832000 (rounded ~ $0.83)
vs Grok 4.5:
↓ 49.6%
#15
Kimi K3.1 Pro
Kimi K3.1 Pro Moonshot AI
$0.844000 (rounded ~ $0.84)
vs Grok 4.5:
↓ 48.9%
#16
Grok 4.3
Grok 4.3 xAI
$1.030000
vs Grok 4.5:
↓ 37.7%
#17
Grok 4.20 Beta
Grok 4.20 Beta xAI
$1.030000
vs Grok 4.5:
↓ 37.7%
#18
Gemini 2.5 Pro
Gemini 2.5 Pro Google
$1.040000
vs Grok 4.5:
↓ 37%
#19
Claude Sonnet 4.6
Claude Sonnet 4.6 Anthropic
$1.245000 (rounded ~ $1.25)
vs Grok 4.5:
↓ 24.6%
#20
Kimi K3
Kimi K3 Moonshot AI
$1.266000 (rounded ~ $1.27)
vs Grok 4.5:
↓ 23.4%
#21
Claude Opus 5.5
Claude Opus 5.5 Anthropic
$1.640000
vs Grok 4.5:
↓ 0.7%
#22
GPT-6.1 Sol
GPT-6.1 Sol OpenAI
$1.655000 (rounded ~ $1.66)
vs Grok 4.5:
↑ 0.2%
#23
GPT-6 Sol
GPT-6 Sol OpenAI
$1.655000 (rounded ~ $1.66)
vs Grok 4.5:
↑ 0.2%
#24
Gemini 3.1 Pro
Gemini 3.1 Pro Google
$1.658000 (rounded ~ $1.66)
vs Grok 4.5:
↑ 0.4%
#25
GPT-5.6 Sol
GPT-5.6 Sol OpenAI
$1.660000
vs Grok 4.5:
↑ 0.5%
#26
Muse Wonder 1.0
Muse Wonder 1.0 Meta AI
$2.020000
vs Grok 4.5:
↑ 22.3%
#27
GPT-5.4
GPT-5.4 OpenAI
$2.072500 (rounded ~ $2.07)
vs Grok 4.5:
↑ 25.5%
#28
GPT-5.4 Thinking
GPT-5.4 Thinking OpenAI
$2.072500 (rounded ~ $2.07)
vs Grok 4.5:
↑ 25.5%
#29
Claude Opus 4.7
Claude Opus 4.7 Anthropic
$2.075000 (rounded ~ $2.08)
vs Grok 4.5:
↑ 25.6%
#30
Claude Opus 5
Claude Opus 5 Anthropic
$2.075000 (rounded ~ $2.08)
vs Grok 4.5:
↑ 25.6%
#31
Claude Opus 4.8
Claude Opus 4.8 Anthropic
$2.075000 (rounded ~ $2.08)
vs Grok 4.5:
↑ 25.6%
#32
Claude Opus 4.6
Claude Opus 4.6 Anthropic
$2.075000 (rounded ~ $2.08)
vs Grok 4.5:
↑ 25.6%
#33
Claude Fable 5.1
Claude Fable 5.1 Anthropic
$4.075000 (rounded ~ $4.08)
vs Grok 4.5:
↑ 146.7%
#34
Claude Mythos 5.1
Claude Mythos 5.1 Anthropic
$4.075000 (rounded ~ $4.08)
vs Grok 4.5:
↑ 146.7%
#35
GPT-5.5
GPT-5.5 OpenAI
$4.145000 (rounded ~ $4.15)
vs Grok 4.5:
↑ 150.9%
#36
Claude Fable 5
Claude Fable 5 Anthropic
$4.150000
vs Grok 4.5:
↑ 151.2%
#37
Claude Mythos 5
Claude Mythos 5 Anthropic
$4.150000
vs Grok 4.5:
↑ 151.2%
#38
GPT-6 Astra
GPT-6 Astra OpenAI
$8.300000
vs Grok 4.5:
↑ 402.4%
#39
GPT-6 Astra
GPT-6 Astra OpenAI
$8.300000
vs Grok 4.5:
↑ 402.4%
✨ 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.
Scaling Medical Documentation with Grok 4.5
For engineering teams and developers building the next generation of automated healthcare reporting tools, Grok 4.5 introduces a distinct set of capabilities centered on reasoning efficiency. When dealing with clinical note generation, the ability to maintain context over long-running sessions is paramount. Grok 4.5 offers a substantial context window that allows developers to feed in comprehensive patient histories or multi-session transcripts, ensuring the AI maintains continuity across the entire clinical encounter.
The strength of Grok 4.5 lies in its reasoning-heavy architecture, which is specifically trained to handle multi-step tasks. In the context of converting doctor-dictated audio into structured clinical records, this means the model is better equipped to handle the specific logic required to extract relevant diagnostic codes and treatment plans from conversational, unstructured speech. Unlike models that prioritize generic summarization, Grok 4.5 leans into agentic workflows, often performing well when tasked with not just summarizing, but actively constructing valid medical documentation following specific internal guidelines.
Developers should consider Grok 4.5 for clinical pipelines where the output needs to be strictly formatted and logical. Its reasoning capabilities can help reduce the frequency of hallucinations in medical data extraction, provided the prompt engineering is tight and the structured outputs are validated. For indie hackers or startups prototyping clinical note apps, Grok 4.5 offers a balance of reasoning power that can simplify the complexity of the backend orchestration, potentially reducing the need for multi-step agentic chains when a single, high-reasoning call can suffice for the generation task.
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.