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GLM 5 Turbo vs GLM 4.7 Flash

Detailed technical comparison between GLM 5 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.

โšก Executive Summary & Verdict

Comparison Snapshot

GLM 5 Turbo: 6 WinsvsGLM 4.7 Flash: 0 Wins
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 5 Turbo

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows...

View GLM 5 Turbo Full Specs โ†’
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 โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGLM 5 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 Date2026-03-152026-01-19

API Pricing Comparison

Input Price per Million Tokens

GLM 5 Turbo

$1.20

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GLM 5 Turbo

$4.00

GLM 4.7 Flash

$0.40

๐Ÿ’ก Cost Ratio: GLM 4.7 Flash is 20.0x cheaper per input token than GLM 5 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.

Benchmark Performance Metrics

Standardized Scores (0โ€“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
83.0%vs77.2%+5.8% GLM 5 Turbo
GLM 5 Turbo ๐Ÿ†
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
84.5%vs78.5%+6.0% GLM 5 Turbo
GLM 5 Turbo ๐Ÿ†
GLM 4.7 Flash
MATHComplex mathematical problem solving
58.0%vs40.0%+18.0% GLM 5 Turbo
GLM 5 Turbo ๐Ÿ†
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
40.0%vs31.0%+9.0% GLM 5 Turbo
GLM 5 Turbo ๐Ÿ†
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
84.5%vs80.0%+4.5% GLM 5 Turbo
GLM 5 Turbo ๐Ÿ†
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.8%vs8.1%+0.7% GLM 5 Turbo
GLM 5 Turbo ๐Ÿ†
GLM 4.7 Flash

GLM 5 Turbo Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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