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GLM 5V Turbo vs GLM 4.7 Flash

Detailed technical comparison between GLM 5V Turbo (Zhipu AI) 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

GLM 5V Turbo: 5 WinsvsGLM 4.7 Flash: 1 Win
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / MTok
Zhipu AIactive

GLM 5V Turbo

GLM-5V-Turbo is Z.ai’s first native multimodal agent foundation model, built for vision-based coding and agent-driven tasks. It natively handles image, video, and text inputs, excels at long-horizon planning, complex coding,...

View GLM 5V Turbo 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
SpecificationGLM 5V TurboGLM 4.7 Flash
ProviderZhipu AIZhipu AI
Context Window202,752 tokens202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-012026-01-19

API Pricing Comparison

Input Price per Million Tokens

GLM 5V Turbo

$1.20

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GLM 5V Turbo

$4.00

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 20.0x cheaper per input token than GLM 5V Turbo.

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
81.6%vs77.2%+4.4% GLM 5V Turbo
GLM 5V Turbo 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
76.4%vs78.5%+2.1% GLM 4.7 Flash
GLM 5V Turbo
GLM 4.7 Flash 🏆
MATHComplex mathematical problem solving
53.6%vs40.0%+13.6% GLM 5V Turbo
GLM 5V Turbo 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
39.0%vs31.0%+8.0% GLM 5V Turbo
GLM 5V Turbo 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
81.2%vs80.0%+1.2% GLM 5V Turbo
GLM 5V Turbo 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.4%vs8.1%+0.3% GLM 5V Turbo
GLM 5V Turbo 🏆
GLM 4.7 Flash

GLM 5V Turbo Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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