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gpt-oss-safeguard-20b vs GPT-5.2-Codex

Detailed technical comparison between gpt-oss-safeguard-20b (OpenAI) and GPT-5.2-Codex (OpenAI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

โšก Executive Summary & Verdict

Comparison Snapshot

gpt-oss-safeguard-20b: 0 WinsvsGPT-5.2-Codex: 6 Wins
Context Leader

GPT-5.2-Codex

400,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

gpt-oss-safeguard-20b

$0.07 / MTok
OpenAIactive

gpt-oss-safeguard-20b

gpt-oss-safeguard-20b is a safety reasoning model from OpenAI built upon gpt-oss-20b. This open-weight, 21B-parameter Mixture-of-Experts (MoE) model offers lower latency for safety tasks like content classification, LLM filtering, and trust...

View gpt-oss-safeguard-20b Full Specs โ†’
OpenAIactive

GPT-5.2-Codex

GPT-5.2-Codex is an upgraded version of GPT-5.1-Codex optimized for software engineering and coding workflows. It is designed for both interactive development sessions and long, independent execution of complex engineering tasks....

View GPT-5.2-Codex Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
Specificationgpt-oss-safeguard-20bGPT-5.2-Codex
ProviderOpenAIOpenAI
Context Window131,072 tokens400,000 tokens๐Ÿ†
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-292026-01-14

API Pricing Comparison

Input Price per Million Tokens

gpt-oss-safeguard-20b

$0.07

GPT-5.2-Codex

$1.75

Output Price per Million Tokens

gpt-oss-safeguard-20b

$0.30

GPT-5.2-Codex

$14.00

๐Ÿ’ก Cost Ratio: gpt-oss-safeguard-20b is 23.3x cheaper per input token than GPT-5.2-Codex.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
80.8%vs93.0%+12.2% GPT-5.2-Codex
gpt-oss-safeguard-20b
GPT-5.2-Codex ๐Ÿ†
HumanEvalPython coding & logic synthesis
79.0%vs99.0%+20.0% GPT-5.2-Codex
gpt-oss-safeguard-20b
GPT-5.2-Codex ๐Ÿ†
MATHComplex mathematical problem solving
56.2%vs81.4%+25.2% GPT-5.2-Codex
gpt-oss-safeguard-20b
GPT-5.2-Codex ๐Ÿ†
GPQAGraduate-level expert reasoning
41.6%vs56.4%+14.8% GPT-5.2-Codex
gpt-oss-safeguard-20b
GPT-5.2-Codex ๐Ÿ†
HellaSwagCommonsense reasoning and inference
80.4%vs88.6%+8.2% GPT-5.2-Codex
gpt-oss-safeguard-20b
GPT-5.2-Codex ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.6%vs9.5%+0.8% GPT-5.2-Codex
gpt-oss-safeguard-20b
GPT-5.2-Codex ๐Ÿ†

gpt-oss-safeguard-20b Quirks & Gotchas

No developer gotchas reported.

GPT-5.2-Codex Quirks & Gotchas

No developer gotchas reported.

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