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GPT Audio Mini vs GLM 4.7 Flash

Detailed technical comparison between GPT Audio Mini (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 Audio Mini: 1 WinvsGLM 4.7 Flash: 5 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 Audio Mini

A cost-efficient version of GPT Audio. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Input is priced at $0.60 per million...

View GPT Audio Mini 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 Audio MiniGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window128,000 tokens202,752 tokens🏆
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-192026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT Audio Mini

$0.60

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT Audio Mini

$2.40

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 10.0x cheaper per input token than GPT Audio Mini.

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
73.2%vs77.2%+4.0% GLM 4.7 Flash
GPT Audio Mini
GLM 4.7 Flash 🏆
HumanEvalPython coding & logic synthesis
69.4%vs78.5%+9.1% GLM 4.7 Flash
GPT Audio Mini
GLM 4.7 Flash 🏆
MATHComplex mathematical problem solving
42.6%vs40.0%+2.6% GPT Audio Mini
GPT Audio Mini 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
30.0%vs31.0%+1.0% GLM 4.7 Flash
GPT Audio Mini
GLM 4.7 Flash 🏆
HellaSwagCommonsense reasoning and inference
77.2%vs80.0%+2.8% GLM 4.7 Flash
GPT Audio Mini
GLM 4.7 Flash 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs8.1%+0.1% GLM 4.7 Flash
GPT Audio Mini
GLM 4.7 Flash 🏆

GPT Audio Mini Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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