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gpt-oss-safeguard-20b vs GLM 4.7 Flash

Detailed technical comparison between gpt-oss-safeguard-20b (OpenAI) and GLM 4.7 Flash (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: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

GLM 4.7 Flash

202,752 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / 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 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

View GLM 4.7 Flash Full Specs →

Technical Specifications

🏆 = Superior Spec
Specificationgpt-oss-safeguard-20bGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window131,072 tokens202,752 tokens🏆
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-292026-01-19

API Pricing Comparison

Input Price per Million Tokens

gpt-oss-safeguard-20b

$0.07

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

gpt-oss-safeguard-20b

$0.30

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 1.3x cheaper per input token than gpt-oss-safeguard-20b.

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.

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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%vs77.2%+3.6% gpt-oss-safeguard-20b
gpt-oss-safeguard-20b 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
79.0%vs78.5%+0.5% gpt-oss-safeguard-20b
gpt-oss-safeguard-20b 🏆
GLM 4.7 Flash
MATHComplex mathematical problem solving
56.2%vs40.0%+16.2% gpt-oss-safeguard-20b
gpt-oss-safeguard-20b 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
41.6%vs31.0%+10.6% gpt-oss-safeguard-20b
gpt-oss-safeguard-20b 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
80.4%vs80.0%+0.4% gpt-oss-safeguard-20b
gpt-oss-safeguard-20b 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.6%vs8.1%+0.5% gpt-oss-safeguard-20b
gpt-oss-safeguard-20b 🏆
GLM 4.7 Flash

gpt-oss-safeguard-20b Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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