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Gemini 3.5 Flash Lite vs GLM 5.2

Detailed technical comparison between Gemini 3.5 Flash Lite (Google) and GLM 5.2 (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

Gemini 3.5 Flash Lite: 0 WinsvsGLM 5.2: 6 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Gemini 3.5 Flash Lite

$0.30 / MTok
Googleactive

Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

View Gemini 3.5 Flash Lite Full Specs โ†’
Zhipu AIactive

GLM 5.2

GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering,...

View GLM 5.2 Full Specs โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGemini 3.5 Flash LiteGLM 5.2
ProviderGoogleZhipu AI
Context Window1,048,576 tokens1,048,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetabeta
API AvailableYesYes
Released Date2026-07-212026-06-16

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash Lite

$0.30

GLM 5.2

$0.80

Output Price per Million Tokens

Gemini 3.5 Flash Lite

$2.50

GLM 5.2

$2.52

๐Ÿ’ก Cost Ratio: Gemini 3.5 Flash Lite is 2.7x cheaper per input token than GLM 5.2.

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
73.2%vs89.5%+16.3% GLM 5.2
Gemini 3.5 Flash Lite
GLM 5.2 ๐Ÿ†
HumanEvalPython coding & logic synthesis
69.4%vs91.2%+21.8% GLM 5.2
Gemini 3.5 Flash Lite
GLM 5.2 ๐Ÿ†
MATHComplex mathematical problem solving
42.6%vs80.5%+37.9% GLM 5.2
Gemini 3.5 Flash Lite
GLM 5.2 ๐Ÿ†
GPQAGraduate-level expert reasoning
30.0%vs53.5%+23.5% GLM 5.2
Gemini 3.5 Flash Lite
GLM 5.2 ๐Ÿ†
HellaSwagCommonsense reasoning and inference
77.2%vs89.8%+12.6% GLM 5.2
Gemini 3.5 Flash Lite
GLM 5.2 ๐Ÿ†
MT-BenchMulti-turn conversation flow quality
8.0%vs9.3%+1.3% GLM 5.2
Gemini 3.5 Flash Lite
GLM 5.2 ๐Ÿ†

Gemini 3.5 Flash Lite Quirks & Gotchas

No developer gotchas reported.

GLM 5.2 Quirks & Gotchas

No developer gotchas reported.

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