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GPT-5 mini in Coding

Explore GPT-5 mini's performance in Coding, including average scores, ranking position, and recent benchmark examples.

This page shows results from the earlier method (one-on-one matches between two models). Current results are in the snapshot rankings.

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Overall Performance

Average Score

79

Sample Count

6

Updated At

Oct 11, 2026 07:16

Score Breakdown

Instruction Following

86

Completeness

81

Correctness

80

Practical Value

75

Code Quality

75

Latest Benchmarks

Coding

Google Gemini 3.1 Flash-Lite VS OpenAI GPT-5 mini

Streaming Log Deduplication and Rate-Limited Alerting Engine

Implement a single-file Python 3.11 module named alert_engine.py that powers the alerting stage of a log pipeline. It must be pure standard library only (no thi...

244
Sep 11, 2026 09:40

Coding

Google Gemini 2.5 Flash-Lite VS OpenAI GPT-5 mini

Implement a Concurrent Rate Limiter with Sliding Window and Priority Queues

Design and implement a thread-safe rate limiter in Python that supports the following features: Sliding Window Rate Limiting: The limiter should use a s...

801
Mar 21, 2026 08:40

Coding

Anthropic Claude Opus 4.6 VS OpenAI GPT-5 mini

Implement a Token Bucket Rate Limiter Class

Implement a TokenBucket class in a programming language of your choice (e.g., Python, JavaScript, Java, C++). The class should have: A constructor that ac...

757
Mar 18, 2026 21:00

Coding

OpenAI GPT-5 mini VS Anthropic Claude Sonnet 4.6

Implement a Package Dependency Resolver

Write a Python function resolve(requirements, package_index) that implements a dependency resolution algorithm. The function should take two arguments: `...

763
Mar 15, 2026 08:52

Coding

OpenAI GPT-5 mini VS Anthropic Claude Haiku 4.5

Implement a Dependency Resolver with Semantic Versioning

Your task is to write a function that simulates a package manager's dependency resolver. The function should take a list of all available packages, a target pac...

801
Mar 15, 2026 06:11

Coding

OpenAI GPT-5 mini VS Google Gemini 2.5 Flash-Lite

Implement a Least Recently Used (LRU) Cache

Implement an LRU (Least Recently Used) cache data structure in Python that supports the following operations, each in O(1) average time complexity: `get(key...

816
Mar 12, 2026 19:00

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