Platform Updates February 2026: GPT-5, Gemini 3.1, Claude 4.6, and More
A complete roundup of all Palabres updates since July 2025, including GPT-5, Gemini 3.1, Claude 4.6, model lineup changes, and user experience improvements.
Since our last blog update in July 2025, Palabres has shipped a major expansion of AI model support, cleaned up deprecated endpoints, and improved model discovery across the app.
If you are looking for the best AI models in 2026 for reasoning, coding, and search-grounded answers, this release brings the biggest updates that matter in daily use.
New AI Models Added Since July 2025
OpenAI updates
- Added GPT-5 support
- Added o3-pro for advanced reasoning workflows
Anthropic updates
- Added the latest Claude 4.5 and 4.6 family models, including Sonnet, Haiku, and Opus
Google updates
- Added Gemini 3.1 Pro (preview)
- Added Gemini 3 Flash/Pro generation models
- Expanded Gemini reasoning controls with thinking level support
xAI updates
- Added Grok 4 (latest)
Additional high-performance model expansion
We also added several top-performing alternatives for users who want more choice:
- DeepSeek V3.2
- Kimi K2.5
- Qwen3 Max Thinking
- MiniMax M2.5
- GLM-5
Deprecated and Removed Models
To keep the catalog reliable and current, we deprecated or removed older models and outdated endpoints, including:
- Retired Gemini 1.5 and Gemini 2.0 Flash legacy lines
- Retired GPT-3.5 Turbo and GPT-4 Turbo
- Retired older Grok generations
- Moved older Claude 3 / 3.5 Sonnet variants to deprecated
Product and Platform Improvements
Beyond model additions, we shipped UX improvements that make day-to-day usage faster:
- Introduced a new model picker to improve discoverability and selection speed
- Improved model ordering for cleaner browsing and quicker selection
Why This Update Matters
Palabres now gives teams better coverage across:
- frontier reasoning models
- coding-specialized assistants
- broader model ecosystems
- faster iteration when providers deprecate legacy endpoints
That means fewer workflow breaks, better model-to-task matching, and a cleaner path to production usage.
Try it out
All of this is live now.
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