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🛡️ Jev AutoMod Active
[ BENCHMARK SPECIFICATION • INDIC TOXICITY SCREENING ]
Traditional Regex vs. TypeSafe AI Jev vs. OpenAI gpt-4o-mini
Evaluating production moderation architectures for high-volume Indic live gaming & stream chat (romanized Hinglish, Tanglish, Benglish, Kanglish, Tenglish). Comparing precision against evasion (leetspeak, symbol swaps, whitespace padding), inference latency, and token economics across scale.
| Architecture Dimension | 1. Regex / Keyword Filter | 2. TypeSafe AI Jev (1.13) | 3. OpenAI (gpt-4o-mini) |
|---|---|---|---|
| Core Mechanism | Substring denylist / regex trie | System One direct decision head | Autoregressive generative LLM |
| OpenRouter Token Rate | $0.00 (in-process) | $0.042 in / $0 out per 1M | $0.150 in / $0.600 out per 1M |
| Cost / 1,000,000 Checks | $0.00 | ~$4.20 (~100 tokens, $0 out) | ~$55.00 - $185.00 (13x - 44x higher) |
| Cost / Single Decision | $0.000000 | ~$0.000004 | ~$0.000055 - $0.000185 |
[ REGEX DENYLIST ]
if (text.includes(kw))
--%
[OK] 0 correct
[FAIL] 0 missed / wrong
Cost: $0.00 • In-process trie
Speed: <1ms (Instant)
[ TYPESAFE JEV 1.13 ]
System One Decisions
--%
[OK] 0 correct
[REVIEW] 0 routed
[FAIL] 0 wrong
Cost: $0.000000
Speed: ~350-500ms (Fast)
[ OPENAI GPT-4O-MINI ]
Chat Completions JSON
--%
[OK] 0 correct
[REVIEW] 0 routed
[FAIL] 0 wrong
Cost: $0.000000
Speed: ~1,500-2,500ms (Slower)