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)
Multimodal Input Details
Resolution: Medium
Tokens: 5,160,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 3,000 input tokens and 500 output tokens:
- Input Cost: $154.890000
- Output Cost: $0.090000
- Total Cost: $154.980000
- Cost per 1K tokens: $0.030015
- Tokens per dollar: 33,317 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: 4 hours, 30 minutes, 50.02 seconds
- Latency: 260 milliseconds to first token
- Base Throughput: 340 tokens/second
- Effective Throughput: 318 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 |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.516450 (rounded ~ $0.52) Best Value | ↓ 99.7% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$1.291500 (rounded ~ $1.29) | ↓ 99.2% cheaper |
| 🥉 |
Gemini 2.5 Flash
Google
|
$1.550150 | ↓ 99% cheaper |
| #4 |
Llama 4 Maverick (400B)
Meta AI
|
$2.415750 (rounded ~ $2.42) | ↓ 98.4% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$2.583250 (rounded ~ $2.58) | ↓ 98.3% cheaper |
| #6 |
Kimi K2.5
Moonshot AI
|
$3.099300 | ↓ 98% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$3.874500 (rounded ~ $3.87) | ↓ 97.5% cheaper |
| #8 |
Kimi K2.6
Moonshot AI
|
$4.906850 (rounded ~ $4.91) | ↓ 96.8% cheaper |
| #9 |
o4-mini Deep Research
OpenAI
|
$5.165000 (rounded ~ $5.17) | ↓ 96.7% cheaper |
| #10 |
Claude Haiku 4.5
Anthropic
|
$5.165500 (rounded ~ $5.17) | ↓ 96.7% cheaper |
| #11 |
Gemini 3.1 Flash
Google
|
$5.166000 (rounded ~ $5.17) | ↓ 96.7% cheaper |
| #12 |
o4-mini
OpenAI
|
$5.681500 (rounded ~ $5.68) | ↓ 96.3% cheaper |
| #13 |
Grok 4.3
xAI
|
$6.455000 (rounded ~ $6.46) | ↓ 95.8% cheaper |
| #14 |
Gemini 3.5 Flash
Google
|
$7.749000 | ↓ 95% cheaper |
| #15 |
GPT-5.3 Codex Spark
OpenAI
|
$9.042250 (rounded ~ $9.04) | ↓ 94.2% cheaper |
| #16 |
GPT-5.3 Instant
OpenAI
|
$9.042250 (rounded ~ $9.04) | ↓ 94.2% cheaper |
| #17 |
Gemini 2.5 Pro
Google
|
$12.915000 (rounded ~ $12.92) | ↓ 91.7% cheaper |
| #18 |
Claude Sonnet 4.6
Anthropic
|
$15.496500 (rounded ~ $15.50) | ↓ 90% cheaper |
| #19 |
Gemini 3.1 Pro
Google
|
$20.661000 (rounded ~ $20.66) | ↓ 86.7% cheaper |
| #20 |
GPT-5.4
OpenAI
|
$25.826250 (rounded ~ $25.83) | ↓ 83.3% cheaper |
| #21 |
GPT-5.4 Thinking
OpenAI
|
$25.826250 (rounded ~ $25.83) | ↓ 83.3% cheaper |
| #22 |
Claude Opus 4.7
Anthropic
|
$25.827500 (rounded ~ $25.83) | ↓ 83.3% cheaper |
| #23 |
Claude Opus 4.8
Anthropic
|
$25.827500 (rounded ~ $25.83) | ↓ 83.3% cheaper |
| #24 |
Claude Opus 4.6
Anthropic
|
$25.827500 (rounded ~ $25.83) | ↓ 83.3% cheaper |
| #25 |
GPT-5.5 Instant
OpenAI
|
$25.830000 | ↓ 83.3% cheaper |
| #26 |
o3 Deep Research
OpenAI
|
$51.650000 | ↓ 66.7% cheaper |
| #27 |
GPT-5.5
OpenAI
|
$51.652500 (rounded ~ $51.65) | ↓ 66.7% cheaper |
| #28 |
o3 Pro
OpenAI
|
$103.300000 | ↓ 33.3% cheaper |
| #29 |
GPT-5.2 Pro
OpenAI
|
$108.507000 (rounded ~ $108.51) | ↓ 30% cheaper |
| #30 |
GPT-5.2 Pro
OpenAI
|
$108.507000 (rounded ~ $108.51) | ↓ 30% cheaper |
Mistral Small 3 Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 2.5 Flash Google
Llama 4 Maverick (400B) Meta AI
Mistral Large 3 Mistral AI
Kimi K2.5 Moonshot AI
GPT-5.4 mini OpenAI
Kimi K2.6 Moonshot AI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
Gemini 3.1 Flash Google
o4-mini OpenAI
Grok 4.3 xAI
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 2.5 Pro Google
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 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 Instant OpenAI
o3 Deep Research OpenAI
GPT-5.5 OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.2 Pro OpenAI
When the goal is to generate high-quality storyboard frames and detailed scene descriptions, GPT-5.5 Pro with its advanced vision capabilities offers a robust solution. This model is designed to interpret complex visual prompts and generate intricate scene narratives, making it suitable for projects requiring precise artistic direction. For generating up to 10,000 storyboard frames, its ability to maintain stylistic consistency and creative fidelity across multiple outputs is a key consideration. Consultants evaluating GPT-5.5 Pro should focus on its interpretative power for visual storytelling and its capacity to produce scene descriptions that align perfectly with generated imagery. Its strengths lie in delivering sophisticated creative results where visual detail and narrative coherence are critical for effective storyboarding.