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GPT-5 Mini vs GLM 4.7 Flash

Detailed technical comparison between GPT-5 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-5 Mini: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

GPT-5 Mini

400,000 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-5 Mini

GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost....

View GPT-5 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-5 MiniGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window400,000 tokens🏆202,752 tokens
Agent Suitability85/100N/A
Time to First Token (TTFT)180 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-08-072026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-5 Mini

$0.25

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-5 Mini

$2.00

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 4.1x cheaper per input token than GPT-5 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
86.5%vs77.2%+9.3% GPT-5 Mini
GPT-5 Mini 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
88.0%vs78.5%+9.5% GPT-5 Mini
GPT-5 Mini 🏆
GLM 4.7 Flash
MATHComplex mathematical problem solving
82.5%vs40.0%+42.5% GPT-5 Mini
GPT-5 Mini 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
68.0%vs31.0%+37.0% GPT-5 Mini
GPT-5 Mini 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
95.5%vs80.0%+15.5% GPT-5 Mini
GPT-5 Mini 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
9.0%vs8.1%+0.9% GPT-5 Mini
GPT-5 Mini 🏆
GLM 4.7 Flash

GPT-5 Mini Quirks & Gotchas

  • ▸Excellent for high-frequency classification and routing tasks
  • ▸Tool calling reliability drops on complex multi-step chains — use GPT-5 for agentic workflows

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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