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GPT-5.5 Pro vs GLM 4.7 Flash

Detailed technical comparison between GPT-5.5 Pro (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-5.5 Pro: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

GPT-5.5 Pro

1,050,000 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-5.5 Pro

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

View GPT-5.5 Pro Full Specs β†’
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 β†’

Technical Specifications

πŸ† = Superior Spec
SpecificationGPT-5.5 ProGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window1,050,000 tokensπŸ†202,752 tokens
Agent Suitability98/100N/A
Time to First Token (TTFT)450 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-04-242026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-5.5 Pro

$30.00

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-5.5 Pro

$180.00

GLM 4.7 Flash

$0.40

πŸ’‘ Cost Ratio: GLM 4.7 Flash is 495.9x cheaper per input token than GPT-5.5 Pro.

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.

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
96.5%vs77.2%+19.3% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
98.2%vs78.5%+19.7% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
GLM 4.7 Flash
MATHComplex mathematical problem solving
96.0%vs40.0%+56.0% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
89.1%vs31.0%+58.1% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
99.4%vs80.0%+19.4% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
9.9%vs8.1%+1.8% GPT-5.5 Pro
GPT-5.5 Pro πŸ†
GLM 4.7 Flash

GPT-5.5 Pro Quirks & Gotchas

  • β–ΈBest-in-class instruction following for complex agentic chains
  • β–ΈPremium pricing β€” use GPT-5 for cost-sensitive workloads

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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