GPT-5.5 Pro OpenAI 1000000
💰 Total Cost Calculation (from Plugin)
Output: $0.090000
Output: $0.090000
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 500,000 input tokens and 2,000 output tokens:
- Input Cost: $3.750000
- Output Cost: $0.090000
- Total Cost: $3.840000
- Cost per 1K tokens: $0.007649 (rounded ~ $0.01)
- Tokens per dollar: 130,729 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 340 tokens per second and 260ms time to first token:
- Processing Time: 25 minutes, 20.94 seconds
- Latency: 260 milliseconds to first token
- Base Throughput: 340 tokens/second
- Effective Throughput: 330 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to GPT-5.5 Pro| Rank | AI Model & Provider | Total Cost | vs GPT-5.5 Pro |
|---|---|---|---|
| 🏆 |
Gemini 3.1 Flash Lite
Google
|
$0.017938 (rounded ~ $0.02) Best Value | ↓ 99.5% cheaper |
| 🥈 |
Gemini 3.5 Flash-Lite
Google
|
$0.021875 (rounded ~ $0.02) | ↓ 99.4% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$0.021875 (rounded ~ $0.02) | ↓ 99.4% cheaper |
| #4 |
Gemini 3.8 Flash
Google
|
$0.053438 (rounded ~ $0.05) | ↓ 98.6% cheaper |
| #5 |
GPT-5.6 Luna
OpenAI
|
$0.071750 (rounded ~ $0.07) | ↓ 98.1% cheaper |
| #6 |
Gemini 3.6 Flash
Google
|
$0.106875 (rounded ~ $0.11) | ↓ 97.2% cheaper |
| #7 |
Gemini 3.5 Flash
Google
|
$0.107625 (rounded ~ $0.11) | ↓ 97.2% cheaper |
| #8 |
Claude Sonnet 5
Anthropic
|
$0.142500 (rounded ~ $0.14) | ↓ 96.3% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.143500 (rounded ~ $0.14) | ↓ 96.3% cheaper |
| #10 |
GPT-5.6 Terra
OpenAI
|
$0.179375 | ↓ 95.3% cheaper |
| #11 |
Claude Sonnet 4.6
Anthropic
|
$0.213750 (rounded ~ $0.21) | ↓ 94.4% cheaper |
| #12 |
Claude Opus 4.7
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↓ 90.7% cheaper |
| #13 |
Claude Opus 5
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↓ 90.7% cheaper |
| #14 |
Claude Opus 4.8
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↓ 90.7% cheaper |
| #15 |
Claude Opus 4.6
Anthropic
|
$0.356250 (rounded ~ $0.36) | ↓ 90.7% cheaper |
| #16 |
Gemini 2.5 Pro
Google
|
$0.358750 (rounded ~ $0.36) | ↓ 90.7% cheaper |
| #17 |
GPT-5.6 Sol
OpenAI
|
$0.358750 (rounded ~ $0.36) | ↓ 90.7% cheaper |
| #18 |
Grok 4.3
xAI
|
$0.558000 (rounded ~ $0.56) | ↓ 85.5% cheaper |
| #19 |
Grok 4.20 Beta
xAI
|
$0.558000 (rounded ~ $0.56) | ↓ 85.5% cheaper |
| #20 |
Gemini 3.1 Pro
Google
|
$0.568000 (rounded ~ $0.57) | ↓ 85.2% cheaper |
| #21 |
Claude Fable 5.1
Anthropic
|
$0.665625 (rounded ~ $0.67) | ↓ 82.7% cheaper |
| #22 |
Claude Mythos 5.1
Anthropic
|
$0.665625 (rounded ~ $0.67) | ↓ 82.7% cheaper |
| #23 |
GPT-5.4
OpenAI
|
$0.710000 | ↓ 81.5% cheaper |
| #24 |
GPT-5.4 Thinking
OpenAI
|
$0.710000 | ↓ 81.5% cheaper |
| #25 |
Claude Fable 5
Anthropic
|
$0.712500 (rounded ~ $0.71) | ↓ 81.4% cheaper |
| #26 |
Claude Mythos 5
Anthropic
|
$0.712500 (rounded ~ $0.71) | ↓ 81.4% cheaper |
| #27 |
GPT-5.5
OpenAI
|
$1.420000 | ↓ 63% cheaper |
| #28 |
GPT-6 Astra
OpenAI
|
$2.850000 | ↓ 25.8% cheaper |
| #29 |
GPT-6 Astra
OpenAI
|
$2.850000 | ↓ 25.8% cheaper |
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.8 Flash Google
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
Claude Sonnet 5 Anthropic
Gemini 3.1 Flash Google
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
Gemini 2.5 Pro Google
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Grok 4.20 Beta xAI
Gemini 3.1 Pro Google
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-5.5 OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Optimizing Clinical Documentation at Scale
For customer support leads and clinical operations teams managing high-volume documentation, the shift toward ambient clinical intelligence is critical. Generating structured clinical records from physician dictation requires a model that balances deep reasoning with high-fidelity output. GPT-5.5 Pro has emerged as a powerhouse for this specific use case, particularly when processing 500K-token batches of complex medical encounters.
The primary advantage of choosing GPT-5.5 Pro for clinical note generation lies in its sophisticated reasoning capabilities. Unlike standard generative models, it excels at maintaining structural integrity across long-form, multi-step tasks, which is essential when transforming raw, unstructured physician speech into standardized SOAP notes or specialized documentation formats. Its ability to follow nuanced instructions ensures that generated notes adhere strictly to institutional compliance standards and clinical guidelines, reducing the need for post-generation human intervention.
When deploying this model at the 500K-token scale, operational leads should focus on the quality of the reasoning chain. GPT-5.5 Pro is particularly adept at handling the ‘jagged’ nature of medical data—where terminology, shorthand, and patient history intersect with complex care paths. It minimizes the common pitfalls of hallucination by sticking closer to the provided clinical context. For support leads, this translates to faster turnaround times and higher accuracy in automated scribe pipelines. While other models may offer lower base speeds, the reliability and reduced error rate in clinical summarization make GPT-5.5 Pro a strong choice for high-stakes healthcare workflows where documentation quality directly impacts patient care outcomes.