Prompter – Compare and benchmark Ollama models side-by-side in your terminal
Prompter is a terminal-based tool designed for evaluating and comparing multiple Ollama models simultaneously. It allows users to run the same prompt through different models and provides structured evaluation modes for in-depth analysis. Results are saved in markdown files, offering detailed statistics and insights into model performance.
- ▪Prompter enables side-by-side streaming of responses from multiple models in real-time.
- ▪It features four evaluation modes: Default, Ralph, Council, and Tribunal, each tailored for specific types of analysis.
- ▪Users can conduct a 20-test benchmark across models to assess their capabilities in various tasks.
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/whonixnetworks/prompter |
| Publication time | Tue, 26 May 2026 10:27:12 +0000 |
| Retrieval time | 2026-05-26T10:37:48.036Z |
| Last seen | 2026-05-26T10:37:48.036Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | Zb-2emnVDPiH |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Multi-model Ollama comparison, benchmarking, and evaluation — in your terminal. Zero dependencies. One file. Standard library only. Quick Start wget https://raw.githubusercontent.com/whonixnetworks/prompter/main/prompter.py chmod +x prompter.py python3 prompter.py Python 3.7+. Ollama running locally. That is it. What is Prompter Prompter is a terminal-based multi-model evaluation tool for Ollama. Run the same prompt through multiple models simultaneously and watch responses stream in side by side. Go beyond simple comparison with structured evaluation modes: self-review loops, multi-model debate panels, and adversarial interrogation. Results are saved as collapsible markdown files with full stats — timing, token counts, tool call traces, and response text.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.