Release 12.0 | Clarifai Docs
GPU Shortage?Make the most out of your GPUs with Compute Orchestration. Learn More
On this page
Release Date: January 8th, 2026
| New Feature | Improvement | Bug Fix | Enterprise Only |
|---|---|---|---|
Pay-As-You-Go Plan
| Status | Change | Details |
|---|---|---|
| Introduced a simple, flexible Pay-As-You-Go plan | - The new plan has no minimum monthly commitments and far fewer feature gates. Just prepay credits, build, and go. - Additionally, the new plan comes with a one-time $5 welcome credit after verifying your phone number and auto-recharge capability. - Learn more here. |
Pipelines
| Status | Change | Details |
|---|---|---|
| Public Preview | Introduced the ability to create, run, and manage pipelines via the Clarifai CLI | - Clarifai Pipelines let you design and run asynchronous, long-running, multi-step processes for complex AI and MLOps tasks. - Learn more here. |
Multi-Nodepool Deployment
| Status | Change | Details |
|---|---|---|
| Introduced model routing capabilities | - We support universal model routing to provide high availability and optimal load distribution across all model services. - This allows intelligent routing logic across multiple model-serving nodepools, including spillover handling and routing across different data centers. - Learn more here. |
Vercel AI SDK Integration
| Status | Change | Details |
|---|---|---|
| Clarifai is now available as an inference provider in the Vercel AI SDK | - You can use Clarifai-hosted models directly through the OpenAI-compatible interface in @ai-sdk/openai-compatible, with no changes to your application logic.- Learn more here. |
Published Models
| Status | Change | Details |
|---|---|---|
| Published two new reasoning models from the Ministral 3 family | - Published Ministral-3-3B-Reasoning-2512, a compact model in the "Ministral 3" family. It delivers high-performance, open-weight capabilities while remaining efficient and deployable in realistic hardware settings. - Published Ministral-3-14B-Reasoning-2512, the largest model in the “Ministral 3” family. It delivers high-performance, open-weight capabilities close to much larger models while remaining efficient and deployable in realistic hardware settings. |
Python SDK
| Status | Change | Details |
|---|---|---|
| Improved the Python SDK Learn more here |
- Fixed issues with local model runners - Fixed checkpoint download failures when hf_transfer was not installed- Resolved compatibility conflicts with the latest vLLM - Added a comprehensive artifact management system for both the SDK and CLI - Introduced interactive config.yaml creation during the model upload process- Added Container and Env model support for local runners - Added comprehensive test coverage for the MCPConnectionPool connection lifecycle- Updated status codes and descriptions for model runner failure cases - Prevented a TypeError during model version creation- Fixed a runner ID bug affecting local runners - Fixed user verification issues in the development environment - Upgraded urllib3 to version >= 2.6.2- Added retry logic to OpenAI API calls and fixed related test mocks - Fixed a TypeError when accelerator_type is None in config.yaml- Improved local runner handling of duplicate runner ID errors - Added CLARIFAI_HF_TOKEN to the CLI context- Added tests for the local runner CLI command - Removed automatic file generation during model operations |
Platform
| Status | Change | Details |
|---|---|---|
| Made some improvements | - Added cleaner filters in the Control Center, making charts more intuitive and easier to navigate. - Improved the Team & Logs tab in the Control Center to ensure that today’s audit logs are included when selecting the last 7 days. - Enabled stopping responses in the right panel when using the Playground’s Compare mode. |
|
| Fixed some bugs | - Fixed various signup and login bugs, resulting in a more reliable and smoother user experience. - Fixed an issue in the mobile view of the Configure Home settings where enabling one option unexpectedly disabled another, causing inconsistent behavior. - Fixed an issue where Predict and Generate methods produced an error in the Playground. - Fixed an issue with the 6-month date range in the Control Center. |