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-# LLM Algorithmic Benchmark
-
-This repository contains a suite of difficult algorithmic tests to benchmark the code generation capabilities of various Large Language Models.
-
-The tests are run automatically via GitHub Actions, and the results are updated in this README.
-
-## Models Under Test
-
-The following models are included in the benchmark run.
-
-<!-- MODELS_START -->
-google/gemini-2.5-pro
-anthropic/claude-sonnet-4.5
-openai/gpt-5-codex
-<!-- MODELS_END -->
-
-## Benchmark Results
-
-The table below shows the pass/fail status for each model on each test.
-
-<!-- RESULTS_START -->
-| Model | 1_dijkstra | 2_convex_hull | 3_lis | 4_determinant |
-| --- | --- | --- | --- | --- |
-| google/gemini-2.5-pro | ❌ Fail | ❌ Fail | ❌ Fail | ❌ Fail |
-| anthropic/claude-sonnet-4.5 | ❌ Fail | ❌ Fail | ❌ Fail | ❌ Fail |
-| openai/gpt-5-codex | ❌ Fail | ❌ Fail | ❌ Fail | ❌ Fail |
-
-<!-- RESULTS_END -->
-