Gemini 3.7 Flash

Try Gemini 3.7 Flash in the Workbench

Run this model interactively, tune parameters, and compare outputs.

Model ID: gemini-3-7-flash gemini-3.7-flash is a Multimodal LLM. It is Google’s workhorse model for coding and agentic tasks, with substantial gains over Gemini 3.6 Flash in software engineering, web development, and dense-document comprehension (65.3% vs 49.0% on DeepSWE v1.1, 43.6% vs 34.4% on FrontierCode 1.1, 34.0% vs 22.0% on GDP.pdf). Some other noteworthy features of gemini-3.7-flash include configurable thinking levels (low, medium, high; unlike earlier Flash models, minimal is not supported), structured output, tool use, code execution, context caching, search grounding, and support for multimodal inputs like text, images, audio, video, and PDFs. Multimodal gains over 3.6 Flash are uneven: long-video understanding improves modestly (85.4% vs 84.2% on LVBench) and chart reasoning is slightly lower on CharXiv, so document-heavy work benefits more than chart analysis. It also supports Google’s agentic video understanding, an opt-in per-request mode where the model decides which video segments to load, at what speed, and through which modality (frames, audio, or transcript) instead of sampling at a fixed frame rate. Google reports up to 88% fewer tokens, up to 66% lower cost, and up to 7% better accuracy on video analysis, at standard token pricing.

Metric	Value
Context Length	1M tokens
Multilingual	Yes

Example request

Use the Workbench as a request builder: configure parameters for this model in the UI, then open the API tab to copy the exact cURL or Python call.

Minimal
Basic parameters
All parameters

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "gemini-3-7-flash",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ]
}'

import os
import requests

response = requests.post(
    "https://hub.oxen.ai/api/ai/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
    },
    json={
        "model": "gemini-3-7-flash",
        "messages": [
            {
                "role": "user",
                "content": "Hello, what can you do?"
            }
        ]
    },
)
response.raise_for_status()
print(response.json())

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "gemini-3-7-flash",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1024,
  "stream": false
}'

import os
import requests

response = requests.post(
    "https://hub.oxen.ai/api/ai/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
    },
    json={
        "model": "gemini-3-7-flash",
        "messages": [
            {
                "role": "user",
                "content": "Hello, what can you do?"
            }
        ],
        "temperature": 0.7,
        "max_tokens": 1024,
        "stream": false
    },
)
response.raise_for_status()
print(response.json())

curl -X POST https://hub.oxen.ai/api/ai/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OXEN_API_KEY" \
  -d '{
  "model": "gemini-3-7-flash",
  "messages": [
    {
      "role": "user",
      "content": "Hello, what can you do?"
    }
  ],
  "temperature": 0.7,
  "max_tokens": 1024,
  "stream": false,
  "top_p": 1.0
}'

import os
import requests

response = requests.post(
    "https://hub.oxen.ai/api/ai/chat/completions",
    headers={
        "Content-Type": "application/json",
        "Authorization": f"Bearer {os.environ['OXEN_API_KEY']}",
    },
    json={
        "model": "gemini-3-7-flash",
        "messages": [
            {
                "role": "user",
                "content": "Hello, what can you do?"
            }
        ],
        "temperature": 0.7,
        "max_tokens": 1024,
        "stream": false,
        "top_p": 1.0
    },
)
response.raise_for_status()
print(response.json())

Fetch model details

The models endpoint returns the full model object, including its json_request_schema.

curl -H "Authorization: Bearer $OXEN_API_KEY" https://hub.oxen.ai/api/ai/models/gemini-3-7-flash

Request parameters

This model follows the standard OpenAI chat completions request body. See the chat completions reference for the full parameter list.

Try Gemini 3.7 Flash in the Workbench

​Example request

​Fetch model details

​Request parameters

Example request

Fetch model details

Request parameters