AI Models

TeXRA supports a variety of language models from different providers, allowing you to choose the best fit for your task's complexity, required speed, and budget (think of it as choosing your research assistant's brain!). This guide provides an overview of the models available by default.

Model Providers Overview

TeXRA primarily integrates with models from:

1. Anthropic (Claude family)
2. OpenAI (GPT and O-series families)
3. Google (Gemini family)
4. Other Providers (via OpenRouter, including Grok, DeepSeek)

You can select the desired model from the dropdown list in the TeXRA UI.

Default Model Selection

Here's a quick comparison of the models available by default in TeXRA:

Anthropic Models

Known for strong instruction following and context handling.

Model ID	Key Strength / Use Case	Relative Cost	Relative Speed	Notes
opus	Highest quality, complex tasks	$$$$	Slow
sonnet37	Strong all-rounder, good context	$$$	Medium
sonnet37T	sonnet37 with explicit reasoning steps	$$$	Medium	Good for math, complex logic
sonnet35	Good balance of quality/cost (older Sonnet)	$$$	Medium

OpenAI Models

Known for strong reasoning and creative capabilities.

Model ID	Key Strength / Use Case	Relative Cost	Relative Speed	Notes
o1	Advanced reasoning, math, figures	$$$$	Slow	Explicit reasoning
gpt45	High quality, vision (Preview)	$$$$	Medium
gpt41	Long-context vision, powerful	$$$	Medium	1M tokens context
gpt41-	Long-context vision, cost-effective	$$	Medium	1M tokens context, mini
gpt41--	Long-context vision, cheapest	$	Medium	1M tokens context, nano
gpt4o	Strong all-rounder, vision	$$$	Medium	Good default choice
gpt4ol	Latest gpt4o, potentially better	$$$	Medium
o3-	Fast reasoning	$$$	Fast	o3-mini
o1-	Fast reasoning (smaller o1)	$$$	Fast	o1-mini

Google Models

Known for large context windows, multimodality, and speed/cost efficiency.

Model ID	Key Strength / Use Case	Relative Cost	Relative Speed	Notes
gemini25p	Strong reasoning, vision, large context	$$$	Medium	Latest Pro model
gemini2p	Good reasoning, vision, very large context	$$	Medium
gemini25f	Fast reasoning, large context	$$	Fast	Latest Flash model
gemini2fT	gemini2f with explicit reasoning steps	$	Fast
gemini2f	Fastest, most cost-effective, vision	$	Very Fast	Good for simple tasks, native PDF/audio

DeepSeek Models

Strong technical and coding performance, cost-effective.

Model ID	Key Strength / Use Case	Relative Cost	Relative Speed	Notes
DSV3	Good coding & general tasks	$	Fast	DeepSeek V3 Chat
DSR1	Advanced reasoning	$$	Medium	DeepSeek R1

Grok / xAI Models

Large context models from xAI.

Model ID	Key Strength / Use Case	Relative Cost	Relative Speed	Notes
grok3	Large context, alternative reasoning	$$$	Medium	xAI Grok 3
grok3-	Faster Grok 3 (mini)	$$	Fast	xAI Grok 3 Mini

Other Models (Available Primarily via OpenRouter)

These models are generally accessed by enabling OpenRouter in settings.

Model ID	Key Strength / Use Case	Provider	Relative Cost	Relative Speed
llama31	Strong open model, large context	Meta	$$$	Medium
qvq-72b	Strong multi-lingual	Qwen/Alibaba	$$	Medium

Relative Cost/Speed are estimates: $ = Low/Fast, $$$$ = High/Slow.

Choosing the Right Model

Consider these factors:

• Task Complexity: Simple corrections might only need a $/Fast model (gemini2f), while complex paper transformations benefit from $$$$/Slow models (opus, o1).
• Budget: Use cost indicators ($ - $$$$) to guide selection.
• Speed: If quick turnaround is needed, prefer Fast/Very Fast models.
• Special Capabilities: Do you need explicit reasoning (sonnet37T, gemini2fT, o1, o3-, o1-, DSR1), vision (gpt4o, gemini*), native PDF/audio (gemini*), or very large context (gemini*, gpt41)?

Experimentation is often key to finding the best model for your specific needs and writing style.

Model Configuration

You can customize which models appear in the TeXRA dropdown list via VS Code Settings (Ctrl+,). Search for texra.models and edit the JSON array. Here are the defaults:

Model Availability

The specific models available by default and their identifiers (sonnet37, gpt4o, etc.) are maintained by the TeXRA developers and may change in future updates based on new releases and performance evaluations.

"texra.models": [
  "sonnet37T",
  "sonnet37",
  "sonnet35",
  "opus",
  "o3-",
  "o1",
  "o1-",
  "gpt45",
  "gpt4o",
  "gpt4ol",
  "gemini25p",
  "gemini25f",
  "gemini2p",
  "gemini2f",
  "gemini2fT",
  "DSV3",
  "DSR1",
  "grok3",
  "grok3-"
]

Using OpenRouter

To access models not directly integrated (like Llama or Qwen), find alternative pricing, or ensure access if a direct API key isn't available, you can use OpenRouter.

1. Get an OpenRouter API key.
2. Add the key using the TeXRA: Set API Key command (select OpenRouter).
3. Enable OpenRouter in VS Code Settings: "texra.model.useOpenRouter": true.

When enabled, TeXRA will route API calls for all compatible models (including Anthropic, OpenAI, Google, DeepSeek, Grok, etc., if supported by OpenRouter) through OpenRouter instead of their direct APIs.

Streaming Support

For long responses or reasoning-heavy models, you can enable streaming to see incremental results. This is often more robust for complex tasks.

Configure streaming in VS Code Settings:

// General streaming toggle (applies if specific model type toggle isn't set)
"texra.model.useStreaming": false,

// Specific toggle for Anthropic reasoning models
"texra.model.useStreamingAnthropicReasoning": false,

// Specific toggle for OpenAI reasoning models
"texra.model.useStreamingOpenAIReasoning": false

// Similar configuration for Google/DeepSeek/OpenRouter models

Next Steps

• Built-in Agents: See which agents work well with different models.
• Configuration: Learn about other model-related settings like streaming.