> For the complete documentation index, see [llms.txt](https://docs.blockbrain.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.blockbrain.ai/news/llm-updates.md).

# LLM Updates

{% updates format="full" %}
{% update date="2026-08-18" %}

## **Gemini 3.6 Flash, Kimi K3, Qwen3 Next 80B A3B Thinking and GPT OSS 120B**

#### 1. Gemini 3.6 Flash <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Google (EU)**</mark>*

Gemini 3.6 Flash is now available with **EU hosting through Vertex AI**. It is the successor to Gemini 3.5 Flash and Google's workhorse model, delivering better coding, knowledge work, and multimodal quality while meaningfully improving token efficiency. Google reports roughly 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index.

With a **1M token context window** and text, image, audio, video, and PDF input, it is well suited for agentic workflows, long document analysis, chart and visual reasoning, and everyday coding. It also completes multi-step workflows in fewer turns and shows lower compile-failure and revision rates on code generation. Best for teams that want one model covering multi-step tool use and multimodal work without flagship pricing.

**Model type:** LLM\
**Context window:** 1M tokens\
**Recommended upgrade from:** Gemini 3.5 Flash

#### 2. Kimi K3 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Nebius (EU)**</mark>*

Kimi K3 is now available with **EU hosting through Nebius**. It is Moonshot AI's flagship open-weight model and the first open-source model in the 3-trillion-parameter class at 2.8T parameters, with an Artificial Analysis Intelligence Index score of 57.1, the strongest open-weight result currently tracked.

With a **1M token context window**, native vision and always-on reasoning, it is built for long-horizon coding, large-repository work, agentic research, and document and visual analysis. It scored 93.5% on GPQA Diamond and 91.2% on BrowseComp at launch. Best for demanding workloads where teams want frontier-adjacent quality on an open-weight model hosted in the EU.

**Model type:** LLM\
**Context window:** 1M tokens\
**Recommended upgrade from:** Kimi K2.5

#### 3. Qwen3 235B A22B Instruct <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Nebius (EU)**</mark>*

Qwen3 235B A22B Instruct is now available with **EU hosting through Nebius**. It is a Mixture-of-Experts model with 235B total parameters and only 22B active per token, which keeps inference cost low relative to its capability. It is not a current-generation frontier release, but it remains a dependable general-purpose option.

With a **262K token context window**, it handles multilingual work, instruction following, structured output, and tool use well. Best for high-volume general workloads where cost matters more than top-tier reasoning, and for teams that need an open-weight fallback under EU hosting.

**Model type:** LLM\
**Context window:** 262K tokens

#### 4. GPT OSS 120B <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Nebius (EU)**</mark>*

GPT OSS 120B is OpenAI's open-weight Mixture-of-Experts model, now available with **EU hosting through Nebius**. It has 117B total parameters and activates 5.1B per forward pass, and supports configurable reasoning depth, full chain-of-thought access, and native tool use including function calling and structured output.

With a **131K token context window**, it is suited to high-throughput reasoning tasks, classification, extraction, and tool-calling agents where latency and cost are the constraint. Nebius list pricing is $0.15 per 1M input and $0.60 per 1M output tokens. Best for teams that need cheap, fast open-weight inference in the EU with adjustable reasoning effort.

**Model type:** LLM\
**Context window:** 131K tokens
{% endupdate %}

{% update date="2026-08-05" %}

## **GPT 5.6 Fast Mode and Gemini 3.5 Flash (Lite)**

#### 1. GPT 5.6 Sol (Fast) <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**OpenAI (EU)**</mark>*

GPT 5.6 Sol (Fast) is now available with **EU hosting through OpenAI**. It delivers the flagship intelligence of GPT 5.6 Sol at up to **2.5× faster speeds**, making it a strong choice when both maximum capability and low latency are essential.

With a **1M** token context window, It is especially well suited for complex coding, advanced reasoning, long-running agents, research, and other demanding workflows where teams need top-tier results without waiting for standard flagship response times. Fast Mode retains the same intelligence as GPT 5.6 Sol at approximately twice the price.

**Model type:** LLM\
**Context window:** 1M tokens\
**Recommended upgrade from:** GPT 5.6 Sol when faster responses are required

#### 2. GPT 5.6 Terra (Fast) <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**OpenAI (EU)**</mark>*

GPT 5.6 Terra (Fast) is now available with **EU hosting through OpenAI**. It provides the same balanced intelligence as GPT 5.6 Terra with accelerated response times, offering near-flagship quality for everyday workflows where latency matters.

With a **1M** token context window, it is well suited for time-sensitive coding, document analysis, tool use, knowledge work, and multi-step automation. It is a practical middle ground for teams that need stronger capability than lightweight models but do not require the full depth or cost of the Sol tier. Fast Mode is priced at approximately twice the standard version.

**Model type:** LLM\
**Context window:** 1M tokens\
**Recommended upgrade from:** GPT 5.6 Terra when faster responses are required

#### 3. GPT 5.6 Luna (Fast) <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**OpenAI (EU)**</mark>*

GPT 5.6 Luna (Fast) is now available with **EU hosting through OpenAI**. Built for maximum throughput, it delivers the same intelligence as GPT 5.6 Luna with accelerated response speeds, making it ideal for workloads where fast and consistent output is the priority.

With a **1M** token context window, it is especially well suited for high-volume automations, data extraction, classification, customer-facing assistants, document processing, and other time-critical production tasks. It retains Luna’s strong cost efficiency while providing near-instant responses, with Fast Mode priced at approximately twice the standard version.

**Model type:** LLM\
**Context window:** 1M tokens\
**Recommended upgrade from:** GPT 5.6 Luna when faster responses are required

#### 4. Gemini 3.5 Flash (Lite) <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**OpenAI (EU)**</mark>*

Gemini 3.5 Flash-Lite is now available with **EU hosting through Google AI**. It is the fastest and most cost-effective model in the Gemini 3.5 family, designed for speed, scale, and high-volume production workloads.

With a **1M** token context window and output speeds of up to 350 tokens per second, it is a major upgrade over Gemini 3.1 Flash-Lite. It is particularly well suited for agentic search, document processing, data extraction, classification, and other high-throughput workflows where minimizing latency and cost is more important than using a larger general-purpose model.

**Model type:** LLM\
**Context window:** 1M tokens\
**Recommended upgrade from:** Gemini 3.1 Flash (Lite)
{% endupdate %}

{% update date="2026-07-31" %}

## **Qwen, Llama, GPT and Gemma**

#### 1. Qwen 3VL 235B <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**StackIT (EU)**</mark>*

Qwen 3VL 235B is now available with **EU hosting through StackIt**. It is a powerful open-weight vision-language model designed for advanced multimodal work, including long-document processing, extended video understanding, complex visual analysis, and agentic workflows.

With a **218K** token context window, it is especially well suited for teams that need high-end multimodal capabilities and have the infrastructure to support a heavyweight model.

**Model type:** LLM\
**Context window:** 218K tokens

#### 2. Qwen3.6 27B <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**StackIT (EU)**</mark>*

Qwen3.6 27B is now available with **EU hosting through StackIt**. It is an open-weight multimodal model that delivers particularly strong agentic coding capabilities for its size. The model is well suited for software development, frontend workflows, tool use, visual analysis, and other tasks that combine coding with multimodal understanding.

With a **262K** token context window, it offers a strong balance of capability, deployment flexibility, and long-context support.

**Model type:** LLM\
**Context window:** 262K tokens

#### 3. Llama 3.3 70B <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**StackIT (EU)**</mark>*

Llama 3.3 70B is now available with **EU hosting through StackIt**. It is a balanced, high-performance open-weight model that provides robust reasoning and consistently reliable output quality across a broad range of tasks.&#x20;

With a **128K** token context window, it is especially well suited for complex analysis, long-form content creation, contextual decision support, and general-purpose enterprise workflows that require dependable performance.

**Model type:** LLM\
**Context window:** 128K tokens

#### 4. GPT OSS 120B <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**StackIT (EU)**</mark>*

GPT OSS 120B is now available with **EU hosting through StackIt**. It is OpenAI’s largest open-weight reasoning model, built for advanced coding, reasoning, tool calling, and agentic workflows.&#x20;

With a **131K** token context window, it is especially well suited for enterprise agents, complex development tasks, and specialized deployments where organizations require greater control over their data and model infrastructure.

**Model type:** LLM\
**Context window:** 131K tokens

#### 5. GPT OSS 20B <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**StackIT (EU)**</mark>*

GPT OSS 20B is now available with **EU hosting through StackIt**. It is a compact open-weight reasoning model designed for low-latency, private, and specialized deployments. The model supports coding, mathematics, tool use, and agentic workflows while requiring as little as 16 GB of memory.&#x20;

With a **131K** token context window, it is especially well suited for private agents, local inference, and cost-conscious deployments that need capable reasoning without heavyweight infrastructure.

**Model type:** LLM\
**Context window:** 131K tokens

#### 6. Gemma 3 27B <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**StackIT (EU)**</mark>*

Gemma 3 27B is now available with **EU hosting through StackIt**. It is a capable open-weight multimodal model supporting text and image inputs, more than 140 languages, function calling, and structured outputs.

With a **131K** token context window, it is especially well suited for document analysis, multilingual assistants, visual tasks, and flexible agentic workflows that require reliable multimodal understanding in a comparatively compact model.

**Model type:** LLM\
**Context window:** 131K tokens
{% endupdate %}

{% update date="2026-07-28" %}

## **Claude Opus 5**

#### 1. Claude Opus 5 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**AWS Bedrock (EU)**</mark>*

Claude Opus 5 is now available with **EU hosting through AWS Bedrock**. It is a major step up from Opus 4.8 at the same price, delivering near–Fable 5 intelligence at approximately half the cost. The model is especially strong at complex professional work and long-running agent workflows where it must review, verify, and improve its own output.&#x20;

With a 1M token context window, Opus 5 is the recommended upgrade for AWS Bedrock users who need greater intelligence and reliability without an increase in model pricing.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** Claude Opus 4.8

#### 2. Claude Opus 5 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Google AI (EU)**</mark>*

Claude Opus 5 is now available with **EU hosting through Google AI.** It is a major step up from Opus 4.8 at the same price, delivering near–Fable 5 intelligence at approximately half the cost. The model is especially strong at complex professional work and long-running agent workflows where it must review, verify, and improve its own output.&#x20;

With a 1M token context window, Opus 5 is the recommended upgrade for AWS Bedrock users who need greater intelligence and reliability without an increase in model pricing.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** Claude Opus 4.8
{% endupdate %}

{% update date="2026-07-23" %}

## Grok 4.5

#### 1. Grok 4.5 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**xAI (US)**</mark>*

**Grok 4.5** is now available with **US hosting through xAI**. xAI’s latest flagship model combines strong reasoning with fast response speeds and competitive pricing, with particular strengths in real-world software engineering, coding agents, and agentic task execution.&#x20;

With a **500k** token context window, it is especially well suited for technical workflows, application development, business productivity, and complex knowledge work that requires high capability without the latency and cost of slower flagship models.

**Model type:** LLM\
**Context window:** 500,000 tokens\
**Recommended upgrade from:** Grok 4
{% endupdate %}

{% update date="2026-07-16" %}

## **Claude Sonnet 5**

#### 1. Claude Sonnet 5 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Google AI (EU)**</mark>*

Claude Sonnet 5 is now available with **EU hosting through Vertex AI**. It is a major upgrade over Sonnet 4.6, delivering near-flagship performance across reasoning, coding, tool use, and knowledge work at a lower cost than top-tier models.&#x20;

With a **1M** token context window, Sonnet 5 is especially well suited for complex, multi-step tasks, large document and codebase analysis, and automation workflows that require high capability without premium pricing.&#x20;

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** Claude Sonnet 4.6&#x20;
{% endupdate %}

{% update date="2026-07-15" %}

## **Gemini 3.5 Flash, Mistral Medium 3.5 and Claude Models**

#### 1. Gemini 3.5 Flash <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Google AI (EU)**</mark>*

Gemini 3.5 Flash is now available with **EU hosting through Google AI**. It is a major step up from Gemini 3.1 Pro, combining strong agentic, coding, financial, and multimodal capabilities with the speed expected from a Flash model.

Its **1M** token context window makes it particularly effective for fast multi-step task handling, coding workflows, document analysis, and automation.&#x20;

The model offers **Minimal, Low, Medium, and High** thinking modes, allowing users to balance response speed with deeper reasoning depending on the task.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** Gemini 2.5 Flash

#### 2. Mistral Medium 3.5 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Mistral (EU)**</mark>*

Mistral Medium 3.5 is now available with **EU hosting through Mistral**. This open-weight model combines Mistral’s previous reasoning and coding lines into a unified model, providing strong performance for agentic coding, tool use, and multi-step technical work.&#x20;

With a **256k** token context window, it is particularly well suited for coding agents, software development workflows, technical automation, and applications that need a capable general-purpose model with open-weight flexibility.

**Model type:** LLM\
**Context window:** 256,000 tokens\
**Recommended upgrade from:** Mistral Medium

#### 3. Claude Opus 4.8 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**AWS Bedrock (EU)**</mark>*

Claude Opus 4.8 is now available with **EU hosting through AWS Bedrock**. It is a significant upgrade over Opus 4.7, with stronger capabilities across agentic coding, computer use, and complex long-running tasks. Improved honesty and reliability also make it a more dependable partner for workflows that require sustained autonomy and accurate reporting.&#x20;

With a **1M** token context window, it is especially well suited for difficult engineering work, computer-use agents, codebase management, and high-stakes knowledge tasks.&#x20;

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** Claude Opus 4.7reyouki

#### 4. Claude Opus 4.7 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**AWS Bedrock (EU)**</mark>*

Claude Opus 4.7 is now available with **EU hosting through AWS Bedrock**. It is a major upgrade over Opus 4.6, designed for difficult hands-on coding and engineering work that can be delegated with greater confidence. Beyond coding, it provides stronger performance across reasoning, tool use, and complex knowledge tasks.&#x20;

With a **1M** token context window, it is particularly well suited for advanced software development, codebase analysis, long-running agents, and demanding multi-step workflows. For AWS Bedrock users of Opus 4.6, Opus 4.7 is the recommended upgrade.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** Claude Opus 4.6

#### 5. Claude Opus 4.6 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**AWS Bedrock (EU)**</mark>*

Claude Opus 4.6 is now available with **EU hosting through AWS Bedrock**. It improves on Opus 4.5 across coding, agentic task execution, codebase management, structured reviews, and debugging. It also provides more consistent and efficient performance during demanding analysis, document review, and multitasking workflows.&#x20;

With a **1M** token context window, it is well suited for complex engineering, long-running agents, large-scale document work, and tasks requiring reliable reasoning across multiple steps.

The model offers **Low, Medium, High, and Max Reasoning** modes, ranging from faster and more efficient responses to maximum reasoning depth for the most complex tasks.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Thinking modes:** Low Reasoning, Medium Reasoning, High Reasoning, Max Reasoning\
**Recommended upgrade from:** Claude Opus 4.5

#### 6. Claude Sonnet 4.6 (Fast) <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**AWS Bedrock (EU)**</mark>*

Claude Sonnet 4.6 (Fast) is now available with **EU hosting through AWS Bedrock**. This configuration operates strictly in **Non-Reasoning mode**, bypassing extended thinking steps to deliver lower-latency responses while retaining the underlying quality of Sonnet 4.6.&#x20;

With a **1M** context window, it is best suited for responsive chat experiences, high-volume production workloads, straightforward coding assistance, document processing, and agent workflows where speed is more important than deeper reasoning.

**Model type:** LLM\
**Context window:** 1 million tokens

#### 7. Claude Haiku 4.5 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**AWS Bedrock (EU)**</mark>*

Claude Haiku 4.5 is now available with **EU hosting through AWS Bedrock**. It is a fast and cost-efficient model that delivers strong coding, reasoning, tool use, and interface interaction capabilities at production scale. Its speed and ability to execute tasks in parallel make it particularly effective as a worker model within multi-agent systems.

With a **200k** token context window and an available Fast configuration, it is well suited for backend automation, chat workloads, coding assistance, and high-volume agent systems that prioritize responsiveness and lower costs.

**Model type:** LLM\
**Context window:** 200,000 tokens\
**Recommended upgrade from:** Claude Haiku 3.5
{% endupdate %}

{% update date="2026-07-14" %}

## **Claude Sonnet 5, Gemini 3.1 Flash (Lite) Image, GPT 5.6 Models**

#### 1. Claude Sonnet 5 <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**AWS Bedrock (EU)**</mark>*

Claude Sonnet 5 is now available with **EU hosting through AWS Bedrock**. It is a major upgrade over Sonnet 4.6, delivering near-flagship performance across reasoning, coding, tool use, and knowledge work at a lower cost than top-tier models.

With a **1M** token context window, Sonnet 5 is especially well suited for complex, multi-step tasks, large document and codebase analysis, and automation workflows that require high capability without premium pricing.&#x20;

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** Claude Sonnet 4.6

#### 2. Gemini 3.1 Flash-Lite Image <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Google AI (US)**</mark>*

Gemini 3.1 Flash-Lite Image is now available with **US hosting through Google AI**. This lightweight image-generation model provides a fast and cost-efficient option for creating visuals directly within the platform. It is particularly well suited for high-volume image generation, rapid creative experimentation, simple marketing assets, and workflows where turnaround time and affordability are more important than the advanced controls of larger image models.

**Model type:** Image model\
**Provider:** Google AI\
**Hosting:** US

#### 3. GPT 5.6 Sol <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Azure AI (EU)**</mark>*

GPT-5.6 Sol is now available with **EU hosting through Azure AI**. It is the most capable model in the GPT-5.6 family, designed to deliver the highest-quality results for complex and demanding work.&#x20;

With a **1M** token context window, it is especially well suited for difficult reasoning, long-running tasks, advanced research, complex coding, document-intensive analysis, and workflows where accuracy and depth are more important than speed or cost.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** GPT 5.5

#### 4. GPT 5.6 Terra <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Azure AI (EU)**</mark>*

GPT-5.6 Sol is now available with **EU hosting through Azure AI**. It is the most capable model in the GPT-5.6 family, designed to deliver the highest-quality results for complex and demanding work.&#x20;

With a **1M** token context window, it is especially well suited for difficult reasoning, long-running tasks, advanced research, complex coding, document-intensive analysis, and workflows where accuracy and depth are more important than speed or cost.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** GPT 5.4

#### 5. GPT 5.6 Luna <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**Azure AI (EU)**</mark>*

GPT-5.6 Sol is now available with **EU hosting through Azure AI**. It is the most capable model in the GPT-5.6 family, designed to deliver the highest-quality results for complex and demanding work.&#x20;

With a **1M** token context window, it is especially well suited for difficult reasoning, long-running tasks, advanced research, complex coding, document-intensive analysis, and workflows where accuracy and depth are more important than speed or cost.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** GPT 5.4, GPT 5.4 Nano, GPT 5.4 Mini
{% endupdate %}

{% update date="2026-07-10" %}

## **GPT 5.6 Models**

#### 1. GPT 5.6 Sol <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**OpenAI (EU)**</mark>*

GPT-5.6 Sol is now available with **EU hosting through OpenAI**. It is the most capable model in the GPT-5.6 family, designed to deliver the highest-quality results for complex and demanding work.&#x20;

With a **1M** token context window, it is especially well suited for difficult reasoning, long-running tasks, advanced research, complex coding, document-intensive analysis, and workflows where accuracy and depth are more important than speed or cost.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** GPT 5.5

#### 2. GPT 5.6 Terra <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**OpenAI (EU)**</mark>*

GPT-5.6 Sol is now available with **EU hosting through OpenAI**. It is the most capable model in the GPT-5.6 family, designed to deliver the highest-quality results for complex and demanding work.&#x20;

With a **1M** token context window, it is especially well suited for difficult reasoning, long-running tasks, advanced research, complex coding, document-intensive analysis, and workflows where accuracy and depth are more important than speed or cost.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** GPT 5.4

#### 3. GPT 5.6 Luna <a href="#sharepoint-page-reading-for-agents" id="sharepoint-page-reading-for-agents"></a>

*<mark style="color:$info;">**OpenAI (EU)**</mark>*

GPT-5.6 Sol is now available with **EU hosting through OpenAI**. It is the most capable model in the GPT-5.6 family, designed to deliver the highest-quality results for complex and demanding work.&#x20;

With a **1M** token context window, it is especially well suited for difficult reasoning, long-running tasks, advanced research, complex coding, document-intensive analysis, and workflows where accuracy and depth are more important than speed or cost.

**Model type:** LLM\
**Context window:** 1 million tokens\
**Recommended upgrade from:** GPT 5.4, GPT 5.4 Nano, GPT 5.4 Mini
{% endupdate %}
{% endupdates %}


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.blockbrain.ai/news/llm-updates.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.