Cohere changed its API changelog

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@@ -8,8 +8,10 @@
 DASHBOARDPLAYGROUNDDOCSCOMMUNITYLOG IN
 Light
 
 On this page
+ * August 27, 2026
+ * Availability
  * July 7, 2026
  * Technical Details
  * Availability
  * June 9, 2026
@@ -33,13 +35,15 @@
  * Getting Started
  * Availability
  * August 21, 2025
  * Getting Started
- * July 31, 2025
- * Key Features
- * What You Can Do
- * 💻 Getting Started
 
+August 27, 2026
+
+August 27, 2026
+
+----------------------------------------
+
 July 7, 2026
 
 July 7, 2026
 
@@ -90,14 +94,24 @@
 August 21, 2025
 
 August 21, 2025
 
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+MEET COHERE PARSE
 
-July 31, 2025
+Today we are releasing Cohere Parse.
 
-July 31, 2025
+Parse (model ID: parse-v5.0) turns complex documents into clean, structured Markdown ready for downstream AI workflows. The 2.3B-parameter multimodal model extracts text in reading order, tables, lists, forms, images and captions, page boundaries, and visual element locations.
 
+Outputs include Markdown/HTML content, HTML-formatted tables, bounding boxes, and image descriptions — preserving both document structure and layout for easier rendering and processing.
+
+Key specs: 8K context window · ~4.6GB model size · Markdown output
+
+AVAILABILITY
+
+Cohere Parse is available through the Parse API, as well as Microsoft Foundry and AWS SageMaker. For single-tenant deployment, Parse is also available in Model Vault.
+
+For more details, see the model documentation.
+
 MEET COHERE TRANSCRIBE ARABIC
 
 Today we are releasing Cohere Transcribe Arabic.
 
@@ -312,43 +326,5 @@
 1from cohere import ClientV223co = ClientV2("<YOUR_API_KEY>")45prompt = """6Alice has 3 brothers and she also has 2 sisters. How many sisters does Alice's brother have?7"""89response = co.chat(10    model="command-a-reasoning-08-2025",11    messages=[12        {13            "role": "user",14            "content": prompt,15        }16    ],17)1819for content in response.message.content:20    if content.type == "thinking":21        print("Thinking:", content.thinking)2223    if content.type == "text":24        print("Response:", content.text)
 
 Customization Options
 
-You can enable and disable thinking capabilities using the thinking parameter, and steer the model’s output with a flexible user-controlled thinking budget; for more details on token budgets, advanced configurations, and best practices, refer to our dedicated Reasoning documentation.
-
-ANNOUNCING COHERE'S COMMAND A VISION MODEL
-
-We’re excited to announce the release of Command A Vision, Cohere’s first commercial model capable of understanding and interpreting visual data alongside text. This addition to our Command family brings enterprise-grade vision capabilities to your applications with the same familiar Command API interface.
-
-KEY FEATURES
-
-MULTIMODAL CAPABILITIES
-
- * Text + Image Processing: Combine text prompts with image inputs
- * Enterprise-Focused Use Cases: Optimized for business applications like document analysis, chart interpretation, and OCR
- * Multiple Languages: Officially supports English, Portuguese, Italian, French, German, and Spanish
-
-TECHNICAL SPECIFICATIONS
-
- * Model Name: command-a-vision-07-2025
- * Context Length: 128K tokens
- * Maximum Output: 8K tokens
- * Image Support: Up to 20 images per request (or 20MB total)
- * API Endpoint: Chat API
-
-WHAT YOU CAN DO
-
-Command A Vision excels in enterprise use cases including:
-
- * 📊 Chart & Graph Analysis: Extract insights from complex visualizations
- * 📋 Table Understanding: Parse and interpret data tables within images
- * 📄 Document OCR: Optical character recognition with natural language processing
- * 🌐 Image Processing for Multiple Languages: Handle text in images across multiple languages
- * 🔍 Scene Analysis: Identify and describe objects within images
-
-💻 GETTING STARTED
-
-The API structure is identical to our existing Command models, making integration straightforward:
-
-1import cohere23co = cohere.Client("your-api-key")45response = co.chat(6    model="command-a-vision-07-2025",7    messages=[8        {9            "role": "user",10            "content": [11                {12                    "type": "text",13                    "text": "Analyze this chart and extract the key data points",14                },15                {16                    "type": "image_url",17                    "image_url": {"url": "your-image-url"},18                },19            ],20        }21    ],22)
-
-There’s much more to be said about working with images, various limitations, and best practices, which you can find in our dedicated Command A Vision and Image Inputs documents.
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+You can enable and disable thinking capabilities using the thinking parameter, and steer the model’s output with a flexible user-controlled thinking budget; for more details on token budgets, advanced configurations, and best practices, refer to our dedicated Reasoning documentation.
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