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GPT Audio vs GLM 4.7 Flash

Detailed technical comparison between GPT Audio (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.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT Audio: 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

GLM 4.7 Flash

$0.06 / MTok
OpenAIactive

GPT Audio

The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...

View GPT Audio Full Specs โ†’
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 โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT AudioGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window128,000 tokens202,752 tokens๐Ÿ†
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

$2.50

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT Audio

$10.00

GLM 4.7 Flash

$0.40

๐Ÿ’ก Cost Ratio: GLM 4.7 Flash is 41.7x cheaper per input token than GPT Audio.

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
79.6%vs77.2%+2.4% GPT Audio
GPT Audio ๐Ÿ†
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
77.8%vs78.5%+0.7% GLM 4.7 Flash
GPT Audio
GLM 4.7 Flash ๐Ÿ†
MATHComplex mathematical problem solving
55.0%vs40.0%+15.0% GPT Audio
GPT Audio ๐Ÿ†
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
40.4%vs31.0%+9.4% GPT Audio
GPT Audio ๐Ÿ†
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
82.6%vs80.0%+2.6% GPT Audio
GPT Audio ๐Ÿ†
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.5%vs8.1%+0.4% GPT Audio
GPT Audio ๐Ÿ†
GLM 4.7 Flash

GPT Audio Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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