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gpt-oss-120b vs GLM 4.7 Flash

Detailed technical comparison between gpt-oss-120b (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-120b: 5 WinsvsGLM 4.7 Flash: 1 Win
Context Leader

GLM 4.7 Flash

202,752 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

gpt-oss-120b

$0.04 / MTok
OpenAIactive

gpt-oss-120b

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

View gpt-oss-120b 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-120bGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window131,072 tokens202,752 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2025-08-052026-01-19

API Pricing Comparison

Input Price per Million Tokens

gpt-oss-120b

$0.04

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

gpt-oss-120b

$0.17

GLM 4.7 Flash

$0.40

💡 Cost Ratio: gpt-oss-120b is 1.6x cheaper per input token than GLM 4.7 Flash.

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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
79.4%vs77.2%+2.2% gpt-oss-120b
gpt-oss-120b 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
77.6%vs78.5%+0.9% GLM 4.7 Flash
gpt-oss-120b
GLM 4.7 Flash 🏆
MATHComplex mathematical problem solving
54.8%vs40.0%+14.8% gpt-oss-120b
gpt-oss-120b 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
40.2%vs31.0%+9.2% gpt-oss-120b
gpt-oss-120b 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
82.4%vs80.0%+2.4% gpt-oss-120b
gpt-oss-120b 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.5%vs8.1%+0.4% gpt-oss-120b
gpt-oss-120b 🏆
GLM 4.7 Flash

gpt-oss-120b Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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