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openai

OpenAI: GPT-4.1

openai/gpt-4.1

Use GPT-4.1 as a pinned comparison when evaluating instruction following or code review. Keep the same input, output cap and scoring rules across candidates.

text

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Input / 1M tokens$2
Output / 1M tokens$8
Context window1,047,576
Maximum output32,768

Provider-supported parameters

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

max_completion_tokensmax_tokensresponse_formatseedstructured_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: 2026-09-22T08:51:50.371Z · Price version: cmub815uo021hjn0z3ru9qzfa:2

Provider pricing fields · USD per indicated unit
{
  "prompt": "0.000002",
  "completion": "0.000008",
  "web_search": "0.01",
  "input_cache_read": "0.0000005"
}

JEVROUTER INTEGRATION NOTES · REVIEWED 2026-09-22

What to check in your application

Start with the example below, then test representative inputs against your own acceptance criteria.

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": "openai/gpt-4.1",
  "messages": [
    {
      "role": "user",
      "content": "Review this Python expression for empty input: sum(values) / len(values). Suggest a safe function and two edge-case tests."
    }
  ],
  "max_tokens": 1024
}
JSON

Plan your integration

Related models to evaluate

Use identical inputs and scoring rules. No ranking is implied by this selection.

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