Gemini 3.5 Flash

by google · family gemini

Facts

Release date	2026-05-19
Retired date	—
Knowledge cutoff	—
Context (max)	1,048,576
Max output	8,192
Modalities	text, image, video, audio → text
Aliases	`gemini-3.5-flash`
Open weights	no
Description	GA Flash generation (migrated from gemini-3-flash-preview); 1M context, 65K output, text+image+video+audio+PDF input. $1.50/$9.00 per Mtok flat (output price includes thinking); caching $0.15. Controlled via thinking_level minimal/low/medium/high, default medium; thinking_budget is deprecated and sending both returns 400.

Unknown values are shown as —.

Offerings

Provider	Wire ID	Variant	Endpoint	Protocol	Status	Price (USD / Mtok)	Reasoning
NEAR AI Cloud	`google/gemini-3.5-flash`	flash	chat	openai-chat	ga	1.50 / 9.00	adaptive · default on · returns reasoning_content
OpenCode Zen	`gemini-3.5-flash`	flash	chat-completions	openai-chat	ga	1.50 / 9.00	effort · default on · returns reasoning_content
OpenRouter	`google/gemini-3.5-flash`	flash	chat-completions	openai-chat	ga	1.50 / 9.00	effort · default on · returns reasoning_content · round-trips reasoning_content

Reasoning controls

NEAR AI Cloud· google/gemini-3.5-flash· chat adaptive

adaptive · default on · returns reasoning_content

OpenCode Zen· gemini-3.5-flash· chat-completions effort

reasoning.effort minimallowmedium●high

effort · default on · returns reasoning_content

OpenRouter· google/gemini-3.5-flash· chat-completions effort

reasoning.effort minimallowmedium●high

effort · default on · returns reasoning_content · round-trips reasoning_content

Example requests

NEAR AI Cloud · openai-chat · google/gemini-3.5-flash

curl 'https://cloud-api.near.ai/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "google/gemini-3.5-flash",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ]
}'

Python (requests)

import requests

resp = requests.post(
    "https://cloud-api.near.ai/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "google/gemini-3.5-flash",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ]
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://cloud-api.near.ai/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "google/gemini-3.5-flash",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ]
  }),
})
console.log(await resp.json())

OpenCode Zen · openai-chat · gemini-3.5-flash

curl 'https://opencode.ai/zen/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "gemini-3.5-flash",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "reasoning": {
    "effort": "medium"
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://opencode.ai/zen/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "gemini-3.5-flash",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "reasoning": {
        "effort": "medium"
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://opencode.ai/zen/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "gemini-3.5-flash",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "reasoning": {
      "effort": "medium"
    }
  }),
})
console.log(await resp.json())

OpenRouter · openai-chat · google/gemini-3.5-flash

curl 'https://openrouter.ai/api/v1/chat/completions' \
  -H 'Authorization: Bearer <YOUR_API_KEY>' \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "google/gemini-3.5-flash",
  "messages": [
    {
      "role": "user",
      "content": "Tell me about the weather."
    }
  ],
  "reasoning": {
    "effort": "medium"
  }
}'

Python (requests)

import requests

resp = requests.post(
    "https://openrouter.ai/api/v1/chat/completions",
    headers={
      "Authorization": "Bearer <YOUR_API_KEY>",
      "Content-Type": "application/json"
    },
    json={
      "model": "google/gemini-3.5-flash",
      "messages": [
        {
          "role": "user",
          "content": "Tell me about the weather."
        }
      ],
      "reasoning": {
        "effort": "medium"
      }
    },
)
print(resp.json())

TypeScript (fetch)

const resp = await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    "Authorization": "Bearer <YOUR_API_KEY>",
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "model": "google/gemini-3.5-flash",
    "messages": [
      {
        "role": "user",
        "content": "Tell me about the weather."
      }
    ],
    "reasoning": {
      "effort": "medium"
    }
  }),
})
console.log(await resp.json())

⚠ Responses include reasoning_content artifacts — pass them back unmodified on subsequent turns (dropping them triggers 400s or quality loss).