google

Google: Gemini 3.5 Flash

google/gemini-3.5-flash

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

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Try in Playground ↗

Input / 1M tokens$1.5

Output / 1M tokens$9

Context window1,048,576

Maximum output65,536

Provider-supported parameters

These are upstream capabilities. Jevrouter supports the subset described in the API contract; chat input is currently text only.

include_reasoningmax_tokensreasoningreasoning_effortresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_pstreamdeveloper_role

Capabilities are imported from OpenRouter’s catalog. This does not mean every model has been independently tested by Jevrouter.

Catalog updated: 2026-09-22T09:51:50.338Z · Price version: cmubxr0zg07kajn0zmlr3y36f:3

Provider pricing fields · USD per indicated unit

{
  "prompt": "0.0000015",
  "completion": "0.000009",
  "audio": "0.000003",
  "image": "0.0000015",
  "web_search": "0.014",
  "input_cache_read": "0.00000015",
  "input_audio_cache": "0.0000003",
  "input_cache_write": "0.0000000833333333333333",
  "internal_reasoning": "0.000009"
}

Make a request

curl --no-buffer https://api.jevrouter.io/v1/chat/completions \
  -H "Authorization: Bearer $JEVROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d @- <<'JSON'
{
  "model": "google/gemini-3.5-flash",
  "messages": [
    {
      "role": "user",
      "content": "Hello"
    }
  ],
  "max_tokens": 1024
}
JSON

Plan your integration

Connect with the OpenAI Python SDK →Estimate this model’s cost →Budgets, request status and safe retries →

Source: OpenRouter model catalog. Imported descriptions and capabilities are provider declarations, not independent benchmark results. Jevrouter currently uses OpenRouter as its managed upstream.