Model Selection

Dynamic Model Routing

Simply select “auto” in the OpenAI model selection to activate CompanyGPT’s dynamic routing. The system analyzes your prompt and automatically chooses the most efficient OpenAI model: fast, smaller models for standard questions and high-end models for complex analyses. This saves time and token costs without any manual effort.

Rule of thumb:

Fast & inexpensive → Mini / Flash / Nano / Haiku
Standard & reliable → large all-round models
Complex & critical → most powerful models
EU / internal / data protection → STACKIT models

OpenAI

gpt-5.4

For: complex problems and maximum intelligence
When: demanding coding, scientific analyses, strategic planning
Why: OpenAI’s most advanced model with unmatched logical reasoning

gpt-5.1

For: deep thinking with high reliability
When: complex documents, data analyses, advanced text work
Why: strong GPT-5 generation performance optimized for practical use

gpt-5-mini

For: high quality at high speed
When: everyday programming tasks, structured research, logical iterations
Why: excellent balance of GPT-5 intelligence and fast processing time

gpt-5-nano

For: ultra-fast answers and simple assistance
When: quick questions, simple formatting, text corrections
Why: extremely resource-efficient model of the GPT-5 family with minimal latency

gpt-4.1

For: reliable problem-solving and standard contexts
When: text optimization, research, logical comparisons
Why: the proven, refined workhorse for demanding everyday tasks

gpt-4.1-mini

For: fast processing at low cost
When: structured text creation, data pre-sorting, simple conversations
Why: compact version of GPT-4.1, optimized for efficiency and speed

gpt-4o

For: versatile multimodality and fluid interaction
When: image and speech processing, creative drafts, brainstorming
Why: the established flagship model for fast, multimedia tasks

gpt-4o-mini

For: high speed at minimal cost
When: simple chat assistants, fast filtering of large data volumes
Why: extremely inexpensive lightweight model with solid base intelligence

auto

For: automated efficiency without manual selection
When: varying tasks, straightforward workflows
Why: automatically selects the most suitable model based on the complexity of your request

GPT Image 1.5

For: image generation
When: when images need to be generated
Why: OpenAI’s image generation model

Google

Gemini 3.1 Flash-Lite

For: maximum speed and cost efficiency
When: quick follow-up questions, simple bulk tasks, real-time translations
Why: extremely short response time at unbeatably low cost

Gemini 3.5 Flash

For: autonomous reasoning at high speed
When: complex workflows, deep analyses, demanding coding
Why: Google’s fast model with flexible thinking levels for smarter tasks

Gemini Image Tools / Nano Banana

For: image analysis, image generation, image editing
When: text-to-image generation, image editing with prompts (image + text), and composition of multiple images
Why: Google’s image models integrated into CompanyGPT

Anthropic

Claude Sonnet 4.6

For: programming, complex text processing, and demanding all-round tasks (Recommended)
When: software development, code refactoring, deep text comprehension
Why: the sweet spot of the series. Opus-class performance at Sonnet pricing (1M context)

Claude Haiku 4.5

For: very fast processing with high logical precision
When: filtering large data volumes, UI-based chatbots, simple to medium tasks at scale
Why: very fast and cost-efficient (less reasoning than Sonnet/Opus)

STACKIT

These open-source models run in the STACKIT Cloud (EU/Germany) and are particularly suited for workloads with high requirements for data protection, data sovereignty, and internal compliance.

openai/gpt-oss-120b

For: highest OSS quality for complex text tasks
When: when internally hosted top performance is required instead of maximum speed
Why: large open-source model for strong analytical and linguistic results

Qwen/Qwen3-VL-235B-A22B-Instruct-FP8

For: multimodal high-end analysis with image and text understanding
When: visual document analysis, complex image-text tasks, demanding inference
Why: very powerful VL model for deeper understanding of multimodal content

cortecs/Llama-3.3-70B-Instruct-FP8-Dynamic

For: more demanding generation and reasoning in the EU stack
When: more complex enterprise questions, longer responses, better level of detail
Why: the 70B class provides significantly more quality than small models while retaining OSS flexibility

google/gemma-3-27b-it

For: versatile instruct tasks with good efficiency
When: internal assistants, knowledge work, structured text production
Why: strong mid-range between small fast and large expensive OSS models

Qwen/Qwen3.6-27B

For: versatile text tasks and strong multilingual understanding
When: creative writing, logical problem-solving, precise translations
Why: the latest Qwen generation with an optimal balance of compact size and high intelligence

openai/gpt-oss-20b

For: lightweight open-source text tasks
When: cost-sensitive internal workflows with controllable infrastructure
Why: compact OSS approach for solid quality with lower resource requirements

Qwen/Qwen3-VL-Embedding-8B

For: multimodal embeddings (text/image) for search and retrieval
When: semantic search, RAG indexing, similarity search across mixed data
Why: specialized in vector representations rather than classic chat responses

intfloat/e5-mistral-7b-instruct

For: high-quality text embeddings for retrieval and ranking
When: vector search, document retrieval, relevance ranking in RAG pipelines
Why: proven embedding model for precise semantic search applications

Quick decision-making aid

“I just want a very good answer” → gpt-5.1 / gpt-5-mini / Claude Sonnet 4.6
“It should be as fast and inexpensive as possible” → gpt-5-nano / gpt-4o-mini / Gemini 3.1 Flash-Lite / Claude Haiku 4.5
“I want to program / write code” → Claude Sonnet 4.6 / gpt-5.4
“It’s complicated or extremely important” → gpt-5.4 / gpt-5.1
“Data protection (EU/Germany) is mandatory” → STACKIT models (e.g., Llama 3.3 70B Instruct)
“I don’t know which model fits” → auto (dynamic routing)
“I need images” → GPT Image 1.5 / Gemini Image Tools / Nano Banana