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deepseek

DeepSeek: R1

deepseek/deepseek-r1

A reasoning-oriented text candidate. Give it a task with a verifiable outcome and account for the full reported token usage when comparing costs.

text

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Input / 1M tokens$0.7
Output / 1M tokens$2.5
Context window64,000
Maximum output16,000

Provider-supported parameters

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

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_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: cmub11cjm019wr82gbu9rto87:1

Provider pricing fields · USD per indicated unit
{
  "prompt": "0.0000007",
  "completion": "0.0000025"
}

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": "deepseek/deepseek-r1",
  "messages": [
    {
      "role": "user",
      "content": "All packages with a red label require inspection. Package A has a red label. What can be concluded, and what cannot be concluded, about package B?"
    }
  ],
  "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.