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GPT-5 Nano vs GLM 4.7 Flash

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

GPT-5 Nano

400,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GPT-5 Nano

$0.05 / MTok
OpenAIactive

GPT-5 Nano

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasoning depth compared to its larger...

View GPT-5 Nano 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 NanoGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window400,000 tokens🏆202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/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 Nano

$0.05

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-5 Nano

$0.40

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GPT-5 Nano is 1.2x cheaper per input token than GLM 4.7 Flash.

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
90.8%vs77.2%+13.6% GPT-5 Nano
GPT-5 Nano 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
92.0%vs78.5%+13.5% GPT-5 Nano
GPT-5 Nano 🏆
GLM 4.7 Flash
MATHComplex mathematical problem solving
79.2%vs40.0%+39.2% GPT-5 Nano
GPT-5 Nano 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
57.6%vs31.0%+26.6% GPT-5 Nano
GPT-5 Nano 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
89.8%vs80.0%+9.8% GPT-5 Nano
GPT-5 Nano 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
9.2%vs8.1%+1.1% GPT-5 Nano
GPT-5 Nano 🏆
GLM 4.7 Flash

GPT-5 Nano Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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