AI orchestrator: choose the right AI model for each task
An AI orchestrator automatically chooses the right model for the task. Different models are best for writing, coding, research, price or speed.
Last updated: 2026-06-24
Important for: AI agents, automation, multi-model workflows and businesses building AI pipelines.
What is an AI orchestrator?
An AI orchestrator is a system that routes each task to the model that fits best. Instead of using one model for everything, you can choose the fastest, cheapest or most precise model for that task.
The hvilkenAI API and data access can be used as decision support for this routing. You can also compare models and read more about AI for businesses.
All models ranked
| # | Model | Tier | Language | Instr. | Orchestr. | Score | Price/1M |
|---|---|---|---|---|---|---|---|
| 1 | Cohere: Command R+ (08-2024)cohere | Premium | 8.0 | 10.0 | 8 | 8.2 | $2.50 |
| 2 | Anthropic: Claude Sonnet 4.6anthropic | Premium | 8.0 | 10.0 | 8 | 7.4 | $3.00 |
| 3 | Perplexity: Sonar Pro Searchperplexity | Premium | 8.0 | 10.0 | 8 | 7.2 | $3.00 |
| 4 | Anthropic: Claude Haiku 4.5anthropic | Mid-range | 8.0 | 10.0 | 8 | 7.5 | $1.00 |
| 5 | Meta: Llama 3.2 3B Instructmeta-llama | Budget | 8.0 | 8.0 | 6.4 | 8.2 | $0.05 |
| 6 | Cohere: Command R7B (12-2024)cohere | Budget | 8.0 | 8.0 | 6.4 | 7.1 | $0.04 |
| 7 | Google: Gemma 3 4Bgoogle | Budget | 8.0 | 8.0 | 6.4 | 7.9 | $0.05 |
| 8 | OpenAI: GPT-5.4 Nanoopenai | Mid-range | 6.0 | 10.0 | 6 | 7.6 | $0.20 |
| 9 | Mistral Large 2407mistralai | Mid-range | 6.0 | 10.0 | 6 | 7.7 | $2.00 |
| 10 | IBM: Granite 4.0 Microibm-granite | Budget | 6.0 | 10.0 | 6 | 7.2 | $0.02 |
| 11 | Google: Gemini 2.5 Progoogle | Mid-range | 8.0 | 4.0 | 3.2 | 5.3 | $1.25 |
| 12 | OpenAI: GPT-5.5 Proopenai | Premium | 4.0 | 8.0 | 3.2 | 6.5 | $30.00 |
How to read the scores
8–10: Excellent. Handles language and instructions precisely. Strong candidate as a routing model.
4–7: Acceptable. Works for simpler agent setups, but should be tested on your workflows.
0–3: Weak. Should not be the main model in language-sensitive agent workflows without extra controls.
See also