Google: Gemini 3.6 Flash API
Gemini 3.6 Flash API is a broad-input Google model for agents that combine text, images, files, audio, and video. Its 1.05M context supports large multimodal workspaces while returning text. [1]
Gemini 3.6 Flash API has no exact mapped result in LLM2014 logic 2026-08. Historical scores and scores for other versions are not presented as current results for this model. [1][2]
Playground
Try Gemini 3.6 Flash in the API Need Playground.
Provider
Current API Need routing and live API pricing. [1]
Pricing
Pricing uses the current live API Need configuration for this model.
Availability
Recent public performance data for this model.
Benchmarks
Editorial benchmark data is shown when this model has a verified match. [2]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 Gemini 3.6 Flash 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-3.6-flash.
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-3.6-flash",
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-3.6-flash",
"stream": true,
"messages": [
{
"role": "user",
"content": "Hello"
}
]
}'Endpoints
Endpoints currently returned by the live pricing API.
/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-3.6-flash
/v1/responses- 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-3.6-flash
Parameters
Supported parameters are shown when verified metadata is available. [1]
No verified parameter metadata is currently available.
Gemini 3.6 Flash API Q&A
Model-specific answers for teams comparing Gemini 3.6 Flash API on capability, benchmark evidence, integration, and cost.
What inputs does Gemini 3.6 Flash API accept?
It accepts text, images, files, audio, and video within a listed 1.05M-token context window and returns text.
What is the Gemini 3.6 Flash API logic rank?
Gemini 3.6 Flash has no exact mapped result in LLM2014 logic 2026-08. Historical scores and scores for other versions are not presented as current results for this model.
How much is Gemini 3.6 Flash API output through APINEED?
The discounted output rate is $3.75 per million tokens, compared with the listed official rate of $7.50.
When should I use Gemini 3.6 Flash?
For Gemini 3.6 Flash API, use it when one request must reason across several media types and a large context without switching model families.
Which endpoint serves Gemini 3.6 Flash API?
Call Gemini 3.6 Flash API through https://apineed.com/v1/chat/completions with gemini-3.6-flash as the model value. Existing OpenAI SDK clients usually need only the APINEED base URL and key.
How do I validate Gemini 3.6 Flash API before release?
Evaluate Gemini 3.6 Flash API on representative prompts, record quality, latency, and token use, then choose reasoning settings and fallbacks from those results.
How to deploy Gemini 3.6 Flash
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.
