Nano Banana Pro Google
💰 Total Cost Calculation (from Plugin)
Output: $0.000000
Output: $0.000000
Unit: $3350.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Detailed Cost Analysis (from Plugin)
For 1,000 input tokens and 500 output tokens:
- Input Cost: $0.000000
- Output Cost: $0.000000
- Unit Cost: $3350.000000
- Total Cost: $3350.000000
- Cost per 1K tokens: $2233.333333 (rounded ~ $2,233.33)
- Tokens per dollar: 0 tokens
- Context Window: 4096 tokens
- Thinking Source: (0 tokens)
Speed & Performance Analysis
With a processing speed of 1,200 tokens per second and 50ms time to first token:
- Processing Time: 1.43 seconds
- Latency: 50 milliseconds to first token
- Base Throughput: 1,200 tokens/second
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for Nano Banana Pro. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
Get my instant AI audit — $39 →GPT-5.5 OpenAI 1000000 🏔️ Context Cliff
💰 Total Cost Calculation (from Plugin)
Output: $0.011250 (rounded ~ $0.01)
Output: $0.011250 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Advanced Cost Breakdown (from Plugin)
Multimodal Input Details
Resolution: Medium
Tokens: 25,800,000
Cost: $0.000000
Detailed Cost Analysis (from Plugin)
For 1,000 input tokens and 500 output tokens:
- Input Cost: $129.005000 (rounded ~ $129.01)
- Output Cost: $0.011250 (rounded ~ $0.01)
- Total Cost: $105.795350 (rounded ~ $105.80)
- Cost per 1K tokens: $0.004100
- Tokens per dollar: 243,881 tokens
- Context Window: 1000000 tokens
Speed & Performance Analysis
With a processing speed of 420 tokens per second and 210ms time to first token:
- Processing Time: 18 hours, 15 minutes, 32.57 seconds
- Latency: 210 milliseconds to first token
- Base Throughput: 420 tokens/second
- Effective Throughput: 393 tokens/second (temperature-adjusted)
Best Use Cases
Want this applied to YOUR actual stack?
This calculator shows the math for GPT-5.5. Your decision needs more — current infrastructure, compliance requirements, actual workload patterns, volume tiers — that change which model is right for you.
Get a $39 personalized AI Architecture Audit. PDF tailored to your stack, delivered in under 60 seconds. 7-day no-questions-asked refund.
Get my instant AI audit — $39 →✨ Market Recommendations AI Model Registry
← Back to Nano Banana Pro| Rank | AI Model & Provider | Total Cost | vs Nano Banana Pro | vs GPT-5.5 |
|---|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.528958 (rounded ~ $0.53) Best Value | ↓ 100% cheaper | ↓ 99.5% cheaper |
| 🥈 |
Gemini 3.1 Flash Lite
Google
|
$1.322489 (rounded ~ $1.32) | ↓ 100% cheaper | ↓ 98.7% cheaper |
| 🥉 |
Gemini 3.5 Flash-Lite
Google
|
$1.587074 (rounded ~ $1.59) | ↓ 100% cheaper | ↓ 98.5% cheaper |
| #4 |
Gemini 2.5 Flash
Google
|
$1.587074 (rounded ~ $1.59) | ↓ 100% cheaper | ↓ 98.5% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$2.645040 (rounded ~ $2.65) | ↓ 99.9% cheaper | ↓ 97.5% cheaper |
| #6 |
Gemini 3.8 Flash
Google
|
$3.967373 (rounded ~ $3.97) | ↓ 99.9% cheaper | ↓ 96.2% cheaper |
| #7 |
GPT-5.4 mini
OpenAI
|
$3.967466 (rounded ~ $3.97) | ↓ 99.9% cheaper | ↓ 96.2% cheaper |
| #8 |
o4-mini Deep Research
OpenAI
|
$5.289705 | ↓ 99.8% cheaper | ↓ 95% cheaper |
| #9 |
Claude Haiku 4.5
Anthropic
|
$5.289830 | ↓ 99.8% cheaper | ↓ 95% cheaper |
| #10 |
GPT-5.6 Luna
OpenAI
|
$5.289955 | ↓ 99.8% cheaper | ↓ 95% cheaper |
| #11 |
o4-mini
OpenAI
|
$5.818676 (rounded ~ $5.82) | ↓ 99.8% cheaper | ↓ 94.5% cheaper |
| #12 |
Gemini 3.6 Flash
Google
|
$7.934745 (rounded ~ $7.93) | ↓ 99.8% cheaper | ↓ 92.5% cheaper |
| #13 |
Gemini 3.5 Flash
Google
|
$7.934933 (rounded ~ $7.93) | ↓ 99.8% cheaper | ↓ 92.5% cheaper |
| #14 |
GPT-5.3 Codex Spark
OpenAI
|
$9.257859 (rounded ~ $9.26) | ↓ 99.7% cheaper | ↓ 91.2% cheaper |
| #15 |
GPT-5.3 Instant
OpenAI
|
$9.257859 (rounded ~ $9.26) | ↓ 99.7% cheaper | ↓ 91.2% cheaper |
| #16 |
Claude Sonnet 5
Anthropic
|
$10.579660 | ↓ 99.7% cheaper | ↓ 90% cheaper |
| #17 |
Gemini 3.1 Flash
Google
|
$10.579910 | ↓ 99.7% cheaper | ↓ 90% cheaper |
| #18 |
GPT-5.6 Terra
OpenAI
|
$13.224888 (rounded ~ $13.22) | ↓ 99.6% cheaper | ↓ 87.5% cheaper |
| #19 |
Claude Sonnet 4.6
Anthropic
|
$15.869490 | ↓ 99.5% cheaper | ↓ 85% cheaper |
| #20 |
Claude Opus 4.7
Anthropic
|
$26.449150 | ↓ 99.2% cheaper | ↓ 75% cheaper |
| #21 |
Claude Opus 5
Anthropic
|
$26.449150 | ↓ 99.2% cheaper | ↓ 75% cheaper |
| #22 |
Claude Opus 4.8
Anthropic
|
$26.449150 | ↓ 99.2% cheaper | ↓ 75% cheaper |
| #23 |
Claude Opus 4.6
Anthropic
|
$26.449150 | ↓ 99.2% cheaper | ↓ 75% cheaper |
| #24 |
Gemini 2.5 Pro
Google
|
$26.449775 | ↓ 99.2% cheaper | ↓ 75% cheaper |
| #25 |
GPT-5.5 Instant
OpenAI
|
$26.449775 | ↓ 99.2% cheaper | ↓ 75% cheaper |
| #26 |
GPT-5.6 Sol
OpenAI
|
$26.449775 | ↓ 99.2% cheaper | ↓ 75% cheaper |
| #27 |
Grok 4.3
xAI
|
$42.315640 (rounded ~ $42.32) | ↓ 98.7% cheaper | ↓ 60% cheaper |
| #28 |
Gemini 3.1 Pro
Google
|
$42.318140 (rounded ~ $42.32) | ↓ 98.7% cheaper | ↓ 60% cheaper |
| #29 |
Claude Fable 5.1
Anthropic
|
$51.930763 | ↓ 98.4% cheaper | ↓ 50.9% cheaper |
| #30 |
Claude Mythos 5.1
Anthropic
|
$51.930763 | ↓ 98.4% cheaper | ↓ 50.9% cheaper |
| #31 |
o3 Deep Research
OpenAI
|
$52.897050 (rounded ~ $52.90) | ↓ 98.4% cheaper | ↓ 50% cheaper |
| #32 |
GPT-5.4
OpenAI
|
$52.897675 (rounded ~ $52.90) | ↓ 98.4% cheaper | ↓ 50% cheaper |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$52.897675 (rounded ~ $52.90) | ↓ 98.4% cheaper | ↓ 50% cheaper |
| #34 |
Claude Fable 5
Anthropic
|
$52.898300 (rounded ~ $52.90) | ↓ 98.4% cheaper | ↓ 50% cheaper |
| #35 |
Claude Mythos 5
Anthropic
|
$52.898300 (rounded ~ $52.90) | ↓ 98.4% cheaper | ↓ 50% cheaper |
| #36 |
o3 Pro
OpenAI
|
$105.794100 (rounded ~ $105.79) | ↓ 96.8% cheaper | ↓ 0% cheaper |
| #37 |
GPT-5.5
OpenAI
|
$105.795350 (rounded ~ $105.80) | ↓ 96.8% cheaper | Same price |
| #38 |
GPT-5.2 Pro
OpenAI
|
$111.094305 (rounded ~ $111.09) | ↓ 96.7% cheaper | ↑ 5% more |
| #39 |
GPT-6 Astra
OpenAI
|
$211.593200 (rounded ~ $211.59) | ↓ 93.7% cheaper | ↑ 100% more |
| #40 |
GPT-6 Astra
OpenAI
|
$211.593200 (rounded ~ $211.59) | ↓ 93.7% cheaper | ↑ 100% more |
Mistral Small 3 Mistral AI
Gemini 3.1 Flash Lite Google
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.8 Flash Google
GPT-5.4 mini OpenAI
o4-mini Deep Research OpenAI
Claude Haiku 4.5 Anthropic
GPT-5.6 Luna OpenAI
o4-mini OpenAI
Gemini 3.6 Flash Google
Gemini 3.5 Flash Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
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-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Grok 4.3 xAI
Gemini 3.1 Pro Google
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
o3 Deep Research OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
o3 Pro OpenAI
GPT-5.5 OpenAI
GPT-5.2 Pro OpenAI
GPT-6 Astra OpenAI
GPT-6 Astra OpenAI
Evaluating Image Generation Workflows
For EdTech product managers, the ability to generate high-fidelity, consistent variations of product photos or educational diagrams is critical for maintaining engagement. When comparing Nano Banana Pro and GPT-5.5, the decision hinges on specialized visual reasoning versus general agentic flexibility.
Nano Banana Pro is purpose-built for visual tasks, excelling in multi-turn edits and text rendering accuracy, which is essential for creating reliable instructional diagrams where text legibility is non-negotiable. Its native integration with Google search grounding allows it to pull real-world knowledge directly into the generation process, ensuring that the generated educational content is factually accurate and aligned with curriculum standards.
Conversely, GPT-5.5 offers a broader agentic framework. While it is a powerhouse for reasoning and complex planning, its image generation capability relies on tool use rather than a native visual architecture. This makes it an excellent choice if your product requires complex, multi-step orchestration—such as planning a lesson, generating the text, and then triggering the image variation—as part of a single, cohesive workflow.
For teams focused purely on high-volume, visual-heavy content pipelines, Nano Banana Pro often provides a more streamlined and cost-efficient path. However, if your tutoring platform demands deep, multi-agent reasoning that spans beyond simple image generation into broader pedagogical logic and student-tutor interaction, the flexibility of GPT-5.5 provides significant long-term architectural advantages, despite the overhead of tool-calling.