API NeedUsage-based
Uptime
Total Context
65.536K
Max Output
N/A
Input
Usage-based/ 1M
Output
Usage-based/ 1M
Cache Read
Route priced
Cache Write
Route priced
GNano Banana Pro API
gemini-3-pro-image
Nano Banana Pro API exposes Google's Gemini 3 Pro Image model through APINEED for complex graphic design, product mockups, factual visualizations, and controlled image editing. [1][2][3]
Google describes Nano Banana Pro as a reasoning-driven image model with Search grounding, thinking, advanced localization, brand consistency, accurate text, and output up to 4K. APINEED uses a non-streaming Chat Completions-compatible route and deliberately omits controls that its adapter does not guarantee. [1][2][3]
MODALITIES
PriceUsage-based / Usage-based / 1MCONTEXT65.536K
Playground
Try Nano Banana Pro in the API Need Playground.
Provider
Current API Need routing and live API pricing.
Pricing
Pricing uses the current live API Need configuration for this model. [2][3]
APINEEDUsage-based
Prepaid creditsInput Usage-based/ 1MOutput Usage-based/ 1M
Availability
Recent public performance data for this model.
API statusLive metrics
Benchmarks
Editorial benchmark data is shown when this model has a verified match.Intelligence uses the source’s median-score ranking. Efficiency views are APINEED calculations, not official LLM2014 rankings. Test costs and reference prices are converted at ¥7 per US dollar; they are not APINEED selling prices. Missing values are N/A. These results describe the source’s tested configurations, not guaranteed APINEED endpoint performance.
| 1st | GPT-5.5 (xhigh) | 80.23 | 73.89 | 7.9% | 534s | 33,219 | $27.51 | $29.57 |
| 2nd | GPT-5.6 Sol (xhigh) | 78.37 | 69.42 | 11.42% | 381s | 17,769 | $14.71 | $29.57 |
| 3rd | Kimi-K3 (max) | 75.77 | 67.66 | 10.7% | 1144s | 41,432 | $17.40 | $15.00 |
| 4th | Claude Opus 5 (xhigh) | 71.24 | 64.74 | 9.12% | 437s | 26,705 | $18.43 | $24.64 |
| 5th | GLM-5.3 (max) | 74.48 | 63.91 | 14.19% | 1009s | 57,408 | $6.43 | $4.00 |
| 6th | GLM-5.3-Flash (max) | 69.55 | 60.52 | 12.98% | 863s | 38,787 | $0.22 | $0.20 |
| 7th | Qwen3.8-Max (xhigh) | 64.68 | 60.05 | 7.16% | 1297s | 65,135 | $9.38 | $5.14 |
| 8th | DeepSeek V4 Pro 0813(max) | 70.13 | 59.63 | 14.97% | 1601s | 73,350 | $7.92 | $3.86 |
| 9th | DeepSeek-V4-Flash-Vision-Exp (max) | 62.86 | 58.10 | 7.57% | 974s | 79,420 | $2.86 | $1.29 |
| 10th | Gemini 3.7 Flash (high) | 66.62 | 57.56 | 13.6% | 131s | 26,596 | $2.75 | $3.70 |
| 11th | Grok 4.6 (high) | 67.93 | 56.41 | 16.96% | 813s | 33,807 | $5.60 | $5.91 |
| 12th | Gemini 3.1 Pro (high) | 69.35 | 55.84 | 19.48% | 235s | 28,338 | $9.39 | $11.83 |
| 13th | DeepSeek V4 Flash 0731 (max) | 66.34 | 55.23 | 16.75% | 881s | 74,657 | $2.69 | $1.29 |
| 14th | GLM-5.2 (max) | 66.53 | 54.70 | 17.78% | 891s | 46,273 | $5.18 | $4.00 |
| 15th | Qwen3.8-Flash (xhigh) | 65.44 | 54.49 | 16.73% | 844s | 64,942 | $0.70 | $0.39 |
| 16th | GPT-5.6 Luna (xhigh) | 65.92 | 51.62 | 21.69% | 247s | 37,885 | $1.25 | $1.18 |
| 17th | Qwen3.8-27B (xhigh) | 58.48 | 47.65 | 18.52% | 2318s | 73,987 | $3.55 | $1.71 |
| 18th | Doubao-Seed-2.1-pro (high) | 55.12 | 45.78 | 16.94% | 2026s | 85,238 | $10.23 | $4.29 |
| 19th | Muse Spark 1.2 (xhigh) | 57.93 | 45.14 | 22.08% | 359s | 47,209 | $5.54 | $4.19 |
| 20th | Gemini 3.7 Flash (low) | 53.50 | 44.06 | 17.64% | 59s | 10,673 | $1.10 | $3.70 |
| 21st | Claude Sonnet 5 (xhigh) | 47.80 | 39.57 | 17.22% | 545s | 45,066 | $12.44 | $9.86 |
| 22nd | Tencent Hy3 (high) | 57.89 | 39.51 | 31.75% | 1076s | 53,214 | $0.85 | $0.57 |
| 23rd | Qwen3.7-Plus (high) | 51.36 | 38.74 | 24.57% | 1254s | 58,610 | $1.88 | $1.14 |
| 24th | MiniMax-M3 | 43.83 | 37.37 | 14.74% | 982s | 57,486 | $1.93 | $1.20 |
| 25th | Doubao-Seed-2.0-lite 0428 (high) | 34.13 | 26.18 | 23.29% | 669s | 27,845 | $0.40 | $0.51 |
| 26th | Claude Opus 5 | 34.94 | 24.58 | 29.65% | 156s | 10,261 | $7.08 | $24.64 |
| 27th | Gemini 3.5 Flash Lite (high) | 29.51 | 20.44 | 30.74% | 192s | 17,842 | $1.23 | $2.46 |
| 28th | Ling-3.0-flash | 28.37 | 17.05 | 39.9% | 735s | 95,538 | N/A | N/A |
| 29th | Gemma 4 31B | 21.36 | 16.09 | 24.67% | 756s | 15,290 | $0.17 | $0.39 |
| 30th | openPangu-2.0-Pro | 20.02 | 15.75 | 21.33% | 645s | 28,215 | $1.64 | $2.07 |
| 31st | Qwen3.7-Plus | 20.84 | 15.63 | 25% | 323s | 8,910 | $0.29 | $1.14 |
| 32nd | GPT-5.5 Instant | 21.73 | 14.09 | 35.16% | 28s | 1,712 | $1.42 | $29.57 |
| 33rd | Mistral Medium 3.5 | 17.25 | 13.87 | 19.59% | 200s | 28,129 | $5.82 | $7.39 |
| 34th | Step-3.7-Flash | 26.18 | 13.74 | 47.52% | 282s | 47,180 | $1.53 | $1.16 |
| 35th | MiMo-V2.5-Pro | 26.31 | 13.00 | 50.59% | 550s | 33,095 | $0.79 | $0.86 |
| 36th | Dots3-Note Preview | 18.63 | 12.95 | 30.49% | 210s | 28,386 | N/A | N/A |
| 37th | ERNIE 5.1 | 16.32 | 11.32 | 30.64% | 468s | 24,522 | $1.77 | $2.57 |
| 38th | Qwen3.8-27B | 16.48 | 10.61 | 35.62% | 192s | 8,914 | $0.43 | $1.71 |
| 39th | openPangu-2.0-Flash | 19.24 | 10.16 | 47.19% | 583s | 29,052 | $0.19 | $0.23 |
| 40th | LongCat-2.0 | 17.61 | 9.74 | 44.69% | 374s | 14,273 | $0.46 | $1.14 |
| 41st | Claude Sonnet 5 | 16.49 | 9.67 | 41.36% | 113s | 6,175 | $1.70 | $9.86 |
| 42nd | GLM-5.2 | 12.42 | 8.05 | 35.19% | 24s | 929 | $0.10 | $4.00 |
| 43rd | DeepSeek V4 Flash 0731 | 13.57 | 7.93 | 41.56% | 53s | 4,621 | $0.17 | $1.29 |
| 44th | Gemini 3.1 Flash Lite | 9.01 | 7.11 | 21.09% | 11s | 707 | $0.03 | $1.48 |
| 45th | Doubao-Seed-2.1-pro | 13.03 | 6.17 | 52.65% | 319s | 6,948 | $0.83 | $4.29 |
| 46th | Mistral Medium 3.5 | 8.45 | 5.93 | 29.82% | 18s | 2,589 | $0.54 | $7.39 |
Quick Start
Call Nano Banana Pro with its real backend model ID.
Get an API key
Create an API key in the product app.
export API_NEED_API_KEY=sk-apineed-v1-...Send a request
Call /v1/chat/completions with model gemini-3-pro-image.
TypeScript SDKPythoncURLOpenAI SDK
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.API_NEED_API_KEY,
baseURL: "https://apineed.com/v1"
});
const result = await client.chat.completions.create({
model: "gemini-3-pro-image",
messages: [
{ role: "user", content: "Why is the sky blue?" }
]
});
console.log(result.choices[0].message.content);Handle the response
Validate responses and errors in your application.
curl https://apineed.com/v1/chat/completions \
-H "Authorization: Bearer $API_NEED_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3-pro-image",
"stream": true,
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Endpoints
Endpoints currently returned by the live pricing API.
POST
/v1/chat/completions- Authorization
- Bearer $API_NEED_API_KEY
- Content-Type
- application/json
- HTTP-Referer
- optional - your site URL, for rankings
- X-Title
- optional - your site name, for rankings
- Model
- gemini-3-pro-image
Parameters
Supported parameters are shown when verified metadata is available.
No verified parameter metadata is currently available.
Nano Banana Pro API questions
Practical answers for selecting, integrating, pricing, and operating Nano Banana Pro API on APINEED.
What is Nano Banana Pro API designed for?
Google positions it for professional asset production and complex visual instructions, including graphic design, high-fidelity product mockups, localized creative, and factual data visualizations. [1][2]
When should I choose Nano Banana Pro over Nano Banana 2?
Choose Pro when precision, complex composition, branding, localization, or grounded information is the priority. Choose Nano Banana 2 when faster iteration and lower-cost general image work are more important. [1][2]
Which endpoint and model ID does APINEED use?
Use gemini-3-pro-image with POST /v1/chat/completions and stream set to false so the complete image response can be parsed consistently. [3]
Can Nano Banana Pro create readable text?
Google specifically highlights poster copy, intricate diagrams, translated designs, and configurable lettering as model strengths, although every production output should still be proofread. [1][2]
Does Nano Banana Pro support grounded generation?
Google documents Search grounding and real-world knowledge in the native model. APINEED V1 does not expose a separate grounding control in this playground. [1][2][3]
Can I submit local reference files here?
Yes. The page uploads local references directly to temporary private object storage, then sends short-lived image_url blocks through APINEED. [3]
How to deploy Nano Banana Pro
Connect the live model to your application.
Top up
Add usage credit in the product app.
Create a key
Create and securely store an API key.
Configure the endpoint
Send requests to /v1/chat/completions.
Monitor responses
Track status, latency, and errors in your application.