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gpt-oss-safeguard-20b vs GLM 5.2

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

⚡ Executive Summary & Verdict

Comparison Snapshot

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

GLM 5.2

1,048,576 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 →
Zhipu AIactive

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

View GLM 5.2 Full Specs →

Technical Specifications

🏆 = Superior Spec
Specificationgpt-oss-safeguard-20bGLM 5.2
ProviderOpenAIZhipu AI
Context Window131,072 tokens1,048,576 tokens🏆
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2025-10-292026-06-16

API Pricing Comparison

Input Price per Million Tokens

gpt-oss-safeguard-20b

$0.07

GLM 5.2

$0.80

Output Price per Million Tokens

gpt-oss-safeguard-20b

$0.30

GLM 5.2

$2.50

💡 Cost Ratio: gpt-oss-safeguard-20b is 10.6x cheaper per input token than GLM 5.2.

Want to test both models live?

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Benchmark Performance Metrics

Standardized Scores (0–100%)

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%vs89.5%+8.7% GLM 5.2
gpt-oss-safeguard-20b
GLM 5.2 🏆
HumanEvalPython coding & logic synthesis
79.0%vs91.2%+12.2% GLM 5.2
gpt-oss-safeguard-20b
GLM 5.2 🏆
MATHComplex mathematical problem solving
56.2%vs80.5%+24.3% GLM 5.2
gpt-oss-safeguard-20b
GLM 5.2 🏆
GPQAGraduate-level expert reasoning
41.6%vs53.5%+11.9% GLM 5.2
gpt-oss-safeguard-20b
GLM 5.2 🏆
HellaSwagCommonsense reasoning and inference
80.4%vs89.8%+9.4% GLM 5.2
gpt-oss-safeguard-20b
GLM 5.2 🏆
MT-BenchMulti-turn conversation flow quality
8.6%vs9.3%+0.7% GLM 5.2
gpt-oss-safeguard-20b
GLM 5.2 🏆

gpt-oss-safeguard-20b Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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