torbjorn/my-pal-mcp-server
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

doc: updated docs

Browse Source
This commit is contained in:
Fahad
2025-11-18 20:38:35 +04:00
parent d3de61f878
commit 52c4563733
7 changed files with 26 additions and 24 deletions
Download Patch File Download Diff File Expand all files Collapse all files

16
docs/model_ranking.md
View File

@@ -37,14 +37,14 @@ of the work so you can enforce organisational preferences easily.
A straightforward rubric that mirrors typical provider tiers:
| Intelligence | Guidance |
|--------------|----------|
| 18–19 | Frontier reasoning models (Gemini 2.5 Pro, GPT‑5.1 Codex, GPT‑5.1, GPT‑5) |
| 15–17 | Strong general models with large context (O3 Pro, DeepSeek R1) |
| 12–14 | Balanced assistants (Claude Opus/Sonnet, Mistral Large) |
| 9–11 | Fast distillations (Gemini Flash, GPT-5 Mini, Mistral medium) |
| 6–8 | Local or efficiency-focused models (Llama 3 70B, Claude Haiku) |
| ≤5 | Experimental/lightweight models |
| Intelligence | Guidance |
|--------------|-------------------------------------------------------------------------------------------|
| 18–19 | Frontier reasoning models (Gemini 3.0 Pro, Gemini 2.5 Pro, GPT‑5.1 Codex, GPT‑5.1, GPT‑5) |
| 15–17 | Strong general models with large context (O3 Pro, DeepSeek R1) |
| 12–14 | Balanced assistants (Claude Opus/Sonnet, Mistral Large) |
| 9–11 | Fast distillations (Gemini Flash, GPT-5 Mini, Mistral medium) |
| 6–8 | Local or efficiency-focused models (Llama 3 70B, Claude Haiku) |
| ≤5 | Experimental/lightweight models |
Record the reasoning for your scores so future updates stay consistent.