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GPT-4o-mini vs GLM 4.7 Flash

Detailed technical comparison between GPT-4o-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-4o-mini: 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-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

View GPT-4o-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-4o-miniGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window128,000 tokens202,752 tokens🏆
Agent Suitability82/100N/A
Time to First Token (TTFT)150 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-07-182026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-4o-mini

$0.15

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-4o-mini

$0.60

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 2.5x cheaper per input token than GPT-4o-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
82.0%vs77.2%+4.8% GPT-4o-mini
GPT-4o-mini 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
84.0%vs78.5%+5.5% GPT-4o-mini
GPT-4o-mini 🏆
GLM 4.7 Flash
MATHComplex mathematical problem solving
70.2%vs40.0%+30.2% GPT-4o-mini
GPT-4o-mini 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
45.0%vs31.0%+14.0% GPT-4o-mini
GPT-4o-mini 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
84.7%vs80.0%+4.7% GPT-4o-mini
GPT-4o-mini 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.6%vs8.1%+0.5% GPT-4o-mini
GPT-4o-mini 🏆
GLM 4.7 Flash

GPT-4o-mini Quirks & Gotchas

  • ▸Ultra-low latency — best TTFT in the OpenAI lineup
  • ▸Tool calling limited to single-step — not suitable for complex agentic pipelines

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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