Small

o4-mini

Abyssinian

OpenAI · Small

SpecialistLv.1textreasoningclosed-weight

“Intensely curious, always thinking, never sits still. Will spend 30 seconds staring at a problem then solve it in one leap.”

o4-mini-2025-04-16$1.1/M in · $4.4/M out

Stats

STR

Output quality — how good are the responses overall

DEX

Speed — tokens per second and latency

CON

Reliability — consistency across runs and tasks

INT

Reasoning — logic, math, and multi-step problems

WIS

Accuracy — factual correctness and precision

CHA

Creativity — style, voice, and creative expression

Abilities

Deep Focus

extended reasoning with chain-of-thought

Puzzle Master

excels at math and logic

Restless Mind

sometimes overthinks simple problems

Eval Results

Best: 9.6Worst: 0.0

Code Review

8.6/10(5 prompts)

Code Review #1

Review this Python function and identify all issues: ```python def get_cat_ages(cats): ages = [] for i in range(len(cats)): if cats[i]["age"] > 0: ages.append(cats[i]["age"]) else: ages.append("unknown") return sum(ages) / len(ages) ``` List each bug, explain why it's a problem, and provide a corrected version.

high8.8

Judge: Identifies all major bugs: mixed-type sum (TypeError), missing 'age' key (KeyError), unsafe comparison with non-numeric types, division by zero on empty list, and non-Pythonic looping. Provides two corrected versions -- one returning None, one raising ValueError -- both idiomatic and correct. Clear explanations of WHY each bug is a problem with specific error types mentioned.

Here’s a breakdown of what can go wrong in the original and a couple of corrected versions. Original code for reference: ```python def get_cat_ages(cats): ages = [] for i in range(len(cats)): if cats[i]["age"] > 0: ages.append(cats[i]["age"]) else: a...

openai/o4-mini · 2026-03-02

Code Review #2

Review this JavaScript code for a rate limiter and identify bugs, race conditions, and design issues: ```javascript class RateLimiter { constructor(maxRequests, windowMs) { this.requests = []; this.maxRequests = maxRequests; this.windowMs = windowMs; } async allowRequest() { const now = Date.now(); this.requests = this.requests.filter(t => now - t < this.windowMs); if (this.requests.length < this.maxRequests) { this.requests.push(now); return true; } return false; } } ``` Consider correctness, performance at scale, and production readiness.

high8.6

Judge: Comprehensive review that identifies the misleading async keyword, O(n) filtering performance, memory growth, clustering/multi-process issues, and lack of rate-limit feedback (Retry-After). Goes deep with alternative algorithm suggestions (token bucket, sliding window counter, Redis-backed approaches). Correctly notes the async is misleading since no await is used. Well-structured with clear categories of concern.

Here’s a breakdown of the flaws, edge cases and production‐readiness concerns in the code you posted, and some suggestions for how to improve it: 1. Correctness & edge cases • Sliding-window semantics are approximate – you’re literally storing every timestamp and counting them. • If two r...

openai/o4-mini · 2026-03-02

Code Review #3

This SQL query is slow on a table with 50M rows. Explain why and suggest improvements: ```sql SELECT u.name, COUNT(*) as post_count FROM users u LEFT JOIN posts p ON u.id = p.user_id WHERE p.created_at > NOW() - INTERVAL '30 days' OR p.created_at IS NULL GROUP BY u.name HAVING COUNT(*) > 0 ORDER BY post_count DESC LIMIT 20; ``` The table has indexes on `users.id` and `posts.user_id`.

high8.4

Judge: Correctly identifies the LEFT JOIN + WHERE interaction that effectively nullifies the LEFT JOIN. Spots the missing index on created_at, the GROUP BY on text field (u.name), and provides two concrete rewrite options including a CTE approach. Suggests the right composite index (posts(user_id, created_at)). Clear explanation of query plan implications. Solid fix quality.

Let’s unpack what’s happening and then look at a few ways to rewrite and re-index so that the engine only scans a small fraction of your 50 million posts. 1. Why it’s slow - The WHERE clause WHERE p.created_at > … OR p.created_at IS NULL lives in the outer WHERE, not in the JOIN ...

openai/o4-mini · 2026-03-02

Code Review #4

A junior developer wrote this cat feeding scheduler. Review it kindly but thoroughly — identify issues and suggest improvements while being encouraging: ```python import time import datetime feeding_times = ["8:00", "12:00", "18:00"] def check_feeding(): while True: now = str(datetime.datetime.now().hour) + ":" + str(datetime.datetime.now().minute).zfill(2) if now in feeding_times: print("FEED THE CAT!") time.sleep(61) time.sleep(1) check_feeding() ```

high9.0

Judge: Excellent mentoring tone -- opens with genuine praise, frames issues as 'observations and suggestions'. Identifies the '8:00' vs '08:00' string comparison bug, busy-waiting, double-print risk, missing __name__ guard, and single source of 'now'. Provides concrete code examples for each fix including a full refactor using the schedule library. Closes with encouragement. Perfectly calibrated for a junior developer.

Hi there! You’ve made a solid first pass at a “feed-the-cat” scheduler—nice work getting the core logic in place. Below are a few friendly observations and suggestions to make it more robust, efficient, and maintainable. 1. Single source of “now” • Issue: You call `datetime.datetime.now()` twi...

openai/o4-mini · 2026-03-02

Code Review #5

Review this Go HTTP middleware for authentication. Focus on security vulnerabilities: ```go func AuthMiddleware(next http.Handler) http.Handler { return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) { token := r.Header.Get("Authorization") if token == "" { token = r.URL.Query().Get("token") } if token == os.Getenv("API_SECRET") { next.ServeHTTP(w, r) return } user, err := validateJWT(token) if err != nil { http.Error(w, "unauthorized", 401) return } ctx := context.WithValue(r.Context(), "user", user) next.ServeHTTP(w, r.WithContext(ctx)) }) } ```

high8.4

Judge: Identifies key security vulnerabilities: token in query string (logging/referer leakage), timing attack on string comparison (recommends crypto/subtle.ConstantTimeCompare), missing Bearer scheme parsing, static secret bypass without user context, context key as bare string, and JWT validation concerns. Provides a concrete Go code fix. Misses explicit severity ranking -- lists issues without clearly prioritizing which are most critical, though the ordering implicitly puts the worst ones first.

Here are the main security weaknesses I see in this snippet, along with recommended fixes: 1. Accepting the secret as a raw string in a URL query parameter • Tokens in URLs get logged in web-server logs, proxy logs and Referer headers. • An attacker who tricks a victim into clicking a cra...

openai/o4-mini · 2026-03-02