Grok 4.5 xAI 🏔️ Context Cliff
💰 Total Cost Calculation (from Plugin)
Output: $0.012000 (rounded ~ $0.01)
Output: $0.012000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
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
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← Back to Grok 4.5| Rank | AI Model & Provider | Total Cost | vs Grok 4.5 |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.104000 (rounded ~ $0.10) Best Value | ↓ 93.7% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.125500 (rounded ~ $0.13) | ↓ 92.4% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.125500 (rounded ~ $0.13) | ↓ 92.4% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.311250 (rounded ~ $0.31) | ↓ 81.2% cheaper |
| #5 |
Gemini 3.1 Flash
Google
|
$0.416000 (rounded ~ $0.42) | ↓ 74.8% cheaper |
| #6 |
GPT-5.6 Luna
OpenAI
|
$0.416000 (rounded ~ $0.42) | ↓ 74.8% cheaper |
| #7 |
Gemini 3.6 Flash
Google
|
$0.622500 (rounded ~ $0.62) | ↓ 62.3% cheaper |
| #8 |
Gemini 3.5 Flash
Google
|
$0.624000 (rounded ~ $0.62) | ↓ 62.2% cheaper |
| #9 |
Claude Sonnet 5
Anthropic
|
$0.830000 | ↓ 49.8% cheaper |
| #10 |
Grok 4.3
xAI
|
$1.030000 | ↓ 37.7% cheaper |
| #11 |
Grok 4.20 Beta
xAI
|
$1.030000 | ↓ 37.7% cheaper |
| #12 |
Gemini 2.5 Pro
Google
|
$1.040000 | ↓ 37% cheaper |
| #13 |
GPT-5.6 Terra
OpenAI
|
$1.040000 | ↓ 37% cheaper |
| #14 |
Claude Sonnet 4.6
Anthropic
|
$1.245000 (rounded ~ $1.25) | ↓ 24.6% cheaper |
| #15 |
Gemini 3.1 Pro
Google
|
$1.658000 (rounded ~ $1.66) | ↑ 0.4% more |
| #16 |
GPT-5.4
OpenAI
|
$2.072500 (rounded ~ $2.07) | ↑ 25.5% more |
| #17 |
GPT-5.4 Thinking
OpenAI
|
$2.072500 (rounded ~ $2.07) | ↑ 25.5% more |
| #18 |
Claude Opus 4.7
Anthropic
|
$2.075000 (rounded ~ $2.08) | ↑ 25.6% more |
| #19 |
Claude Opus 5
Anthropic
|
$2.075000 (rounded ~ $2.08) | ↑ 25.6% more |
| #20 |
Claude Opus 4.8
Anthropic
|
$2.075000 (rounded ~ $2.08) | ↑ 25.6% more |
| #21 |
Claude Opus 4.6
Anthropic
|
$2.075000 (rounded ~ $2.08) | ↑ 25.6% more |
| #22 |
GPT-5.6 Sol
OpenAI
|
$2.080000 | ↑ 25.9% more |
| #23 |
Claude Fable 5.1
Anthropic
|
$4.075000 (rounded ~ $4.08) | ↑ 146.7% more |
| #24 |
Claude Mythos 5.1
Anthropic
|
$4.075000 (rounded ~ $4.08) | ↑ 146.7% more |
| #25 |
GPT-5.5
OpenAI
|
$4.145000 (rounded ~ $4.15) | ↑ 150.9% more |
| #26 |
Claude Fable 5
Anthropic
|
$4.150000 | ↑ 151.2% more |
| #27 |
Claude Mythos 5
Anthropic
|
$4.150000 | ↑ 151.2% more |
| #28 |
GPT-6 Astra
OpenAI
|
$8.300000 | ↑ 402.4% more |
| #29 |
GPT-6 Astra
OpenAI
|
$8.300000 | ↑ 402.4% more |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
Gemini 3.1 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 2.5 Pro Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Gemini 3.1 Pro Google
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.6 Sol OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
GPT-5.5 OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
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.