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GPT-4o Search Preview vs GLM 4.7 Flash

Detailed technical comparison between GPT-4o Search Preview (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 Search Preview: 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 Search Preview

GPT-4o Search Previewis a specialized model for web search in Chat Completions. It is trained to understand and execute web search queries.

View GPT-4o Search Preview 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 Search PreviewGLM 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 Date2025-03-122026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-4o Search Preview

$2.50

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-4o Search Preview

$10.00

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 41.7x cheaper per input token than GPT-4o Search Preview.

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
79.8%vs77.2%+2.6% GPT-4o Search Preview
GPT-4o Search Preview 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
78.0%vs78.5%+0.5% GLM 4.7 Flash
GPT-4o Search Preview
GLM 4.7 Flash 🏆
MATHComplex mathematical problem solving
55.2%vs40.0%+15.2% GPT-4o Search Preview
GPT-4o Search Preview 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
40.6%vs31.0%+9.6% GPT-4o Search Preview
GPT-4o Search Preview 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
82.8%vs80.0%+2.8% GPT-4o Search Preview
GPT-4o Search Preview 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.5%vs8.1%+0.4% GPT-4o Search Preview
GPT-4o Search Preview 🏆
GLM 4.7 Flash

GPT-4o Search Preview Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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