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https://linear.app/cohereai/issue/TW-581/cross-check-reasoning-and-saety-pages | Reviewing safety-modes.mdx & reasoning.mdx #774

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https://linear.app/cohereai/issue/TW-581/cross-check-reasoning-and-saety-pages | Reviewing safety-modes.mdx & reasoning.mdx #774

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10 changes: 5 additions & 5 deletions fern/pages/text-generation/reasoning.mdx
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@ description: >-
image: ../../assets/images/1edd35f-cohere_meta_image.jpg
keywords: 'generative AI, Cohere, reasoning models, large language models'
createdAt: 'Thu Aug 7th 2025'
updatedAt: ''
updatedAt: 'Weds May 20th 2026'
---

Reasoning models represent an advanced approach to AI that enables more sophisticated problem-solving capabilities. Cohere's reasoning models are _hybrid_, meaning reasoning can be enabled (in which case they generate internal reasoning processes before delivering their final responses) or disabled (in which case they function the way any other LLM would).
Expand All @@ -32,7 +32,7 @@ Alice has 3 brothers and she also has 2 sisters. How many sisters does Alice's b
"""

response = co.chat(
model="command-a-reasoning-08-2025",
model="command-a-plus-05-2026",
messages=[
{
"role": "user",
Expand All @@ -59,7 +59,7 @@ Alice has 3 brothers and she also has 2 sisters. How many sisters does Alice's b
"""

response = co.chat_stream(
model="command-a-reasoning-08-2025",
model="command-a-plus-05-2026",
messages=[
{
"role": "user",
Expand All @@ -81,7 +81,7 @@ curl --request POST \
--header 'content-type: application/json' \
--header "Authorization: bearer $CO_API_KEY" \
--data '{
"model": "command-a-reasoning-08-2025",
"model": "command-a-plus-05-2026",
"messages": [
{
"role": "user",
Expand Down Expand Up @@ -129,4 +129,4 @@ The reasoning process is controlled through specific parameters that allow devel
- Set token budgets to control the depth of reasoning
- Stream responses to see reasoning and final answers in real-time

This architecture makes reasoning models particularly valuable for applications requiring high accuracy, transparency in reasoning, and the ability to handle complex, multi-faceted problems that benefit from systematic analysis.
This architecture makes reasoning models particularly valuable for applications requiring high accuracy, transparency in reasoning, and the ability to handle complex, multi-faceted problems that benefit from systematic analysis.
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