AI provider settings
Pick which AI backend does extraction and matching. Ollama runs locally (private, free); Claude/OpenAI are cloud APIs.
Ollama (local) active
Custom analysis instructions
Optional free-text guidance applied on top of the built-in extraction/matching prompts, regardless of which provider above is active — e.g. "treat any call mentioning maritime logistics as especially relevant" or "ignore calls under €50k per project."
Claude (Anthropic API)
OpenAI
Local model benchmark (Ollama)
A real extraction call against one fixed sample EU call, run once per locally pulled model — lets you pick a model that's actually fast AND reliably tags domains/technologies correctly on this machine, rather than guessing from size alone. A model's very first call after being switched to includes a one-time cost loading it into VRAM — if a result looks surprisingly slow, re-run once more before ruling it out.
| Model | Size | Result | Time | Description | Domains | Technologies | Tested | |
|---|---|---|---|---|---|---|---|---|
| llama3.1:8b | 4.6 GB | OK | 15.3s | 2654 chars | Health, Research & Development, International Cooperation | — | 24/07/2026 14:31 | |
| gemma4:12b | 7.0 GB | OK | 16.1s | 1621 chars | Health, Digital Technologies, Research & Development | Digital solutions, AI and Big Data | 24/07/2026 14:31 | |
| deepseek-r1:14b | 8.4 GB | OK | 70.5s | 716 chars | Health, ICT Research & Innovation, Research & Development | Digital solutions, AI and Big Data | 24/07/2026 14:31 | |
| phi4:14b | 8.4 GB | OK | 80.9s | 812 chars | Health, ICT Research & Innovation, International Cooperation, Digital Technologies, Social Inclusion | AI and Big Data, Digital solutions | 24/07/2026 14:31 | |
| qwen3:14b | 8.6 GB | Failed | 73.5s | 0 chars | — | — | 24/07/2026 14:31 | |
| qwen3:30b-a3b | 17.3 GB | Failed | 128.5s | 0 chars | — | — | 24/07/2026 14:31 | |
| mistral-small3.1:24b | 14.4 GB | Failed | 140.2s | 0 chars | — | — | 24/07/2026 14:31 |