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GPT-4.1 Mini vs GLM 4.7 Flash

Detailed technical comparison between GPT-4.1 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-4.1 Mini: 3 WinsvsGLM 4.7 Flash: 3 Wins
Context Leader

GPT-4.1 Mini

1,047,576 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-4.1 Mini

GPT-4.1 Mini is a mid-sized model delivering performance competitive with GPT-4o at substantially lower latency and cost. It retains a 1 million token context window and scores 45.1% on hard...

View GPT-4.1 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-4.1 MiniGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window1,047,576 tokens🏆202,752 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2025-04-142026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-4.1 Mini

$0.40

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-4.1 Mini

$1.60

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 6.7x cheaper per input token than GPT-4.1 Mini.

Want to test both models live?

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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
74.6%vs77.2%+2.6% GLM 4.7 Flash
GPT-4.1 Mini
GLM 4.7 Flash 🏆
HumanEvalPython coding & logic synthesis
70.8%vs78.5%+7.7% GLM 4.7 Flash
GPT-4.1 Mini
GLM 4.7 Flash 🏆
MATHComplex mathematical problem solving
44.0%vs40.0%+4.0% GPT-4.1 Mini
GPT-4.1 Mini 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
31.4%vs31.0%+0.4% GPT-4.1 Mini
GPT-4.1 Mini 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
78.6%vs80.0%+1.4% GLM 4.7 Flash
GPT-4.1 Mini
GLM 4.7 Flash 🏆
MT-BenchMulti-turn conversation flow quality
8.1%vs8.1%+0.0% GPT-4.1 Mini
GPT-4.1 Mini 🏆
GLM 4.7 Flash

GPT-4.1 Mini Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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