Add DeepSeek V3.1 model to inference guide (#1553)

## Summary

This PR adds the DeepSeek V3.1 model to the list of available models in
the W&B Inference guide.

## Changes

- Added DeepSeek V3.1 to the models table in
`content/en/guides/inference/models.md`

## Model Details

- **Model ID**: `deepseek-ai/DeepSeek-V3.1`
- **Type**: Text
- **Context Window**: 128K
- **Size**: 37B-671B (Active-Total)
- **Description**: A large hybrid model that supports both thinking and
non-thinking modes via prompt templates

This addition helps users discover and utilize the DeepSeek V3.1 model
in their W&B Inference workflows.

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Author: johndmulhausen

content/en/guides/inference/models.md

@@ -7,22 +7,23 @@ description: >
 
 W&B Inference provides access to several open-source foundation models. Each model has different strengths and use cases.
 
-## Model comparison
+## Model catalog
 
 | Model | Model ID (for API usage) | Type | Context Window | Parameters | Description |
 |-------|--------------------------|------|----------------|------------|-------------|
-| OpenAI GPT OSS 120B	| `openai/gpt-oss-120b` | Text | 131,000 | 5.1B-117B (Active-Total) | Efficient Mixture-of-Experts model designed for high-reasoning, agentic and general-purpose use cases. |
-| OpenAI GPT OSS 20B | `openai/gpt-oss-20b` | Text | 131,000 | 3.6B-20B (Active-Total) | Lower latency Mixture-of-Experts model trained on OpenAI's Harmony response format with reasoning capabilities. |
-| Qwen3 235B A22B Thinking-2507 | `Qwen/Qwen3-235B-A22B-Thinking-2507` | Text | 262K | 22B-235B (Active-Total) | High-performance Mixture-of-Experts model optimized for structured reasoning, math, and long-form generation |
-| Qwen3 235B A22B-2507 | `Qwen/Qwen3-235B-A22B-Instruct-2507` | Text | 262K | 22B-235B (Active-Total) | Efficient multilingual, Mixture-of-Experts, instruction-tuned model, optimized for logical reasoning |
-| Qwen3 Coder 480B A35B | `Qwen/Qwen3-Coder-480B-A35B-Instruct` | Text | 262K | 35B-480B (Active-Total) | Mixture-of-Experts model optimized for coding tasks such as function calling, tooling use, and long-context reasoning |
-| MoonshotAI Kimi K2 | `moonshotai/Kimi-K2-Instruct` | Text | 128K | 32B-1T (Active-Total) | Mixture-of-Experts model optimized for complex tool use, reasoning, and code synthesis |
 | DeepSeek R1-0528 | `deepseek-ai/DeepSeek-R1-0528` | Text | 161K | 37B-680B (Active-Total) | Optimized for precise reasoning tasks including complex coding, math, and structured document analysis |
 | DeepSeek V3-0324 | `deepseek-ai/DeepSeek-V3-0324` | Text | 161K | 37B-680B (Active-Total) | Robust Mixture-of-Experts model tailored for high-complexity language processing and comprehensive document analysis |
+| DeepSeek V3.1 | `deepseek-ai/DeepSeek-V3.1` | Text | 128K | 37B-671B (Active-Total) | A large hybrid model that supports both thinking and non-thinking modes via prompt templates |
 | Meta Llama 3.1 8B | `meta-llama/Llama-3.1-8B-Instruct` | Text | 128K | 8B (Total) | Efficient conversational model optimized for responsive multilingual chatbot interactions |
 | Meta Llama 3.3 70B | `meta-llama/Llama-3.3-70B-Instruct` | Text | 128K | 70B (Total) | Multilingual model excelling in conversational tasks, detailed instruction-following, and coding |
 | Meta Llama 4 Scout | `meta-llama/Llama-4-Scout-17B-16E-Instruct` | Text, Vision | 64K | 17B-109B (Active-Total) | Multi-modal model integrating text and image understanding, ideal for visual tasks and combined analysis |
 | Microsoft Phi 4 Mini 3.8B | `microsoft/Phi-4-mini-instruct` | Text | 128K | 3.8B (Active-Total) | Compact, efficient model ideal for fast responses in resource-constrained environments |
+| MoonshotAI Kimi K2 | `moonshotai/Kimi-K2-Instruct` | Text | 128K | 32B-1T (Active-Total) | Mixture-of-Experts model optimized for complex tool use, reasoning, and code synthesis |
+| OpenAI GPT OSS 20B | `openai/gpt-oss-20b` | Text | 131K | 3.6B-20B (Active-Total) | Lower latency Mixture-of-Experts model trained on OpenAI's Harmony response format with reasoning capabilities. |
+| OpenAI GPT OSS 120B	| `openai/gpt-oss-120b` | Text | 131K | 5.1B-117B (Active-Total) | Efficient Mixture-of-Experts model designed for high-reasoning, agentic and general-purpose use cases. |
+| Qwen3 235B A22B Thinking-2507 | `Qwen/Qwen3-235B-A22B-Thinking-2507` | Text | 262K | 22B-235B (Active-Total) | High-performance Mixture-of-Experts model optimized for structured reasoning, math, and long-form generation |
+| Qwen3 235B A22B-2507 | `Qwen/Qwen3-235B-A22B-Instruct-2507` | Text | 262K | 22B-235B (Active-Total) | Efficient multilingual, Mixture-of-Experts, instruction-tuned model, optimized for logical reasoning |
+| Qwen3 Coder 480B A35B | `Qwen/Qwen3-Coder-480B-A35B-Instruct` | Text | 262K | 35B-480B (Active-Total) | Mixture-of-Experts model optimized for coding tasks such as function calling, tooling use, and long-context reasoning |
 
 ## Using model IDs