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GPT-4o (2024-05-13) vs GLM 4.7 Flash

Detailed technical comparison between GPT-4o (2024-05-13) (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 (2024-05-13): 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-4o (2024-05-13)

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

View GPT-4o (2024-05-13) 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 (2024-05-13)GLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window128,000 tokens202,752 tokens🏆
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-05-132026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-4o (2024-05-13)

$5.00

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-4o (2024-05-13)

$15.00

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 82.6x cheaper per input token than GPT-4o (2024-05-13).

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
79.4%vs77.2%+2.2% GPT-4o (2024-05-13)
GPT-4o (2024-05-13) 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
77.6%vs78.5%+0.9% GLM 4.7 Flash
GPT-4o (2024-05-13)
GLM 4.7 Flash 🏆
MATHComplex mathematical problem solving
54.8%vs40.0%+14.8% GPT-4o (2024-05-13)
GPT-4o (2024-05-13) 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
40.2%vs31.0%+9.2% GPT-4o (2024-05-13)
GPT-4o (2024-05-13) 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
82.4%vs80.0%+2.4% GPT-4o (2024-05-13)
GPT-4o (2024-05-13) 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.5%vs8.1%+0.4% GPT-4o (2024-05-13)
GPT-4o (2024-05-13) 🏆
GLM 4.7 Flash

GPT-4o (2024-05-13) Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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