google

Google: Gemini 3.8 Flash (batch)

google/gemini-3.8-flash:batch

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

text

Try in Playground ↗

Input / 1M tokens$0.375

Output / 1M tokens$1.875

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_outputstool_choicetoolsstreamdeveloper_role

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

Catalog updated: 2026-09-22T08:51:50.371Z · Price version: cmubxqzyh07d0jn0zmtwe9rkl:3

Provider pricing fields · USD per indicated unit

{
  "prompt": "0.000000375",
  "completion": "0.000001875",
  "audio": "0.000000375",
  "image": "0.000000375",
  "web_search": "0.014",
  "input_cache_read": "0.0000000375",
  "input_audio_cache": "0.0000000375",
  "input_cache_write": "0.0000000416666666666667",
  "internal_reasoning": "0.000001875"
}

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-3.8-flash:batch",
  "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.