Validated on 10 Apr 2026 • Last edited on 16 Apr 2026
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For models that support reasoning, you can pass a reasoning parameter in the request body of the Chat Completions and Responses API, either in OpenAI format using reasoning_effort or Anthropic format using reasoning.effort. The reasoning effort can be set to none, low, medium, high or max.
The following cURL example shows how to specify reasoning effort for Claude Opus 4.5 model in the Anthropic format:
curl -X POST https://inference.do-ai.run/v1/chat/completions \
-H "Authorization: Bearer $MODEL_ACCESS_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic-claude-opus-4.5",
"messages": [
{
"role": "user",
"content": "What is 27 * 453? Think step by step."
}
],
"max_completion_tokens": 1192,
"reasoning": {
"effort": "high",
"max_tokens": 1024
}
}'The output shows the response step-by-step as requested in the model prompt:
{
"choices": [
{
"finish_reason": "stop",
"index": 0,
"logprobs": null,
"message": {
"content": "# Calculating 27 × 453\n\nI'll break this into smaller parts:\n\n**Step 1:** Break down 453 into 400 + 50 + 3\n\n**Step 2:** Multiply each part by 27\n- 27 × 400 = 10,800\n- 27 × 50 = 1,350\n- 27 × 3 = 81\n\n**Step 3:** Add the results\n- 10,800 + 1,350 + 81 = **12,231**",
"reasoning_content": "I need to calculate 27 * 453.\n\nLet me break this down step by step.\n\n27 * 453 = 27 * (400 + 50 + 3)\n= 27 * 400 + 27 * 50 + 27 * 3\n\n27 * 400 = 10,800\n27 * 50 = 1,350\n27 * 3 = 81\n\n10,800 + 1,350 + 81 = 12,231",
"refusal": null,
"role": "assistant"
}
}
],
"created": 1771946745,
"id": "",
"model": "anthropic-claude-opus-4.5",
...
}For Anthropic models, if you omit the max_tokens parameter for reasoning , we calculate the token budget using the following ratio of the total tokens passed in max_completion_tokens:
| Effort Level | Reasoning Token Budget (% of max_completion_tokens) |
|---|---|
low |
0.2 |
medium |
0.5 |
high |
0.8 |
max |
0.95 |
The following cURL example shows how to specify reasoning effort for Claude Sonnet 4.6 model in the OpenAI format:
curl -X POST https://inference.do-ai.run/v1/chat/completions \
-H "Authorization: Bearer $MODEL_ACCESS_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "anthropic-claude-4.6-sonnet",
"messages": [
{
"role": "user",
"content": "What is 27 * 453? Think step by step."
}
],
"max_completion_tokens": 8192,
"reasoning_effort": "high"
}'The output looks like the following:
{
"choices": [
{
"finish_reason": "stop",
"index": 0,
"logprobs": null,
"message": {
"content": "## Solving 27 × 453\n\nI'll break this into smaller, easier multiplications.\n\n**Split 453 into parts:**\n- 27 × 400\n- 27 × 50\n- 27 × 3\n\n**Calculate each part:**\n- 27 × 400 = **10,800**\n- 27 × 50 = **1,350**\n- 27 × 3 = **81**\n\n**Add the results:**\n- 10,800 + 1,350 = 12,150\n- 12,150 + 81 = **12,231**\n\n**27 × 453 = 12,231**",
"reasoning_content": "27 * 453\n\nLet me break this down:\n27 * 453 = 27 * 400 + 27 * 50 + 27 * 3\n= 10800 + 1350 + 81\n= 12231",
"refusal": null,
"role": "assistant"
}
}
],
"created": 1771948245,
"id": "",
"model": "anthropic-claude-4.6-sonnet",
...
}Try using different keywords or simplifying your search terms.