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GPT-5.4 vs GLM 4.7 Flash

Detailed technical comparison between GPT-5.4 (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-5.4: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

GPT-5.4

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-5.4

GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for...

View GPT-5.4 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-5.4GLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window1,050,000 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 Date2026-03-052026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-5.4

$2.50

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-5.4

$15.00

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 41.7x cheaper per input token than GPT-5.4.

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
90.4%vs77.2%+13.2% GPT-5.4
GPT-5.4 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
91.6%vs78.5%+13.1% GPT-5.4
GPT-5.4 🏆
GLM 4.7 Flash
MATHComplex mathematical problem solving
78.8%vs40.0%+38.8% GPT-5.4
GPT-5.4 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
57.2%vs31.0%+26.2% GPT-5.4
GPT-5.4 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
89.4%vs80.0%+9.4% GPT-5.4
GPT-5.4 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
9.2%vs8.1%+1.1% GPT-5.4
GPT-5.4 🏆
GLM 4.7 Flash

GPT-5.4 Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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