← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Gemini 3.5 Flash-Lite vs GLM 4.7 Flash

Detailed technical comparison between Gemini 3.5 Flash-Lite (Google) 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

Gemini 3.5 Flash-Lite: 1 WinvsGLM 4.7 Flash: 5 Wins
Context Leader

Gemini 3.5 Flash-Lite

1,048,576 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / 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 →
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
SpecificationGemini 3.5 Flash-LiteGLM 4.7 Flash
ProviderGoogleZhipu AI
Context Window1,048,576 tokens🏆202,752 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2026-07-212026-01-19

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.5 Flash-Lite

$0.30

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

Gemini 3.5 Flash-Lite

$2.50

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 5.0x cheaper per input token than Gemini 3.5 Flash-Lite.

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.

Open Live Sandbox Playground →

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
73.2%vs77.2%+4.0% GLM 4.7 Flash
Gemini 3.5 Flash-Lite
GLM 4.7 Flash 🏆
HumanEvalPython coding & logic synthesis
69.4%vs78.5%+9.1% GLM 4.7 Flash
Gemini 3.5 Flash-Lite
GLM 4.7 Flash 🏆
MATHComplex mathematical problem solving
42.6%vs40.0%+2.6% Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
30.0%vs31.0%+1.0% GLM 4.7 Flash
Gemini 3.5 Flash-Lite
GLM 4.7 Flash 🏆
HellaSwagCommonsense reasoning and inference
77.2%vs80.0%+2.8% GLM 4.7 Flash
Gemini 3.5 Flash-Lite
GLM 4.7 Flash 🏆
MT-BenchMulti-turn conversation flow quality
8.0%vs8.1%+0.1% GLM 4.7 Flash
Gemini 3.5 Flash-Lite
GLM 4.7 Flash 🏆

Gemini 3.5 Flash-Lite Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

Explore Other Popular Comparisons

SIDE-BY-SIDE REVIEW

Gemini 3.5 Flash-Lite vs MiniMax M1

Compare context windows, live API token prices, and benchmark scores.

SIDE-BY-SIDE REVIEW

Gemini 3.5 Flash-Lite vs Hermes 3 405B Instruct

Compare context windows, live API token prices, and benchmark scores.

SIDE-BY-SIDE REVIEW

Gemini 3.5 Flash-Lite vs Gemini 2.5 Flash

Compare context windows, live API token prices, and benchmark scores.

SIDE-BY-SIDE REVIEW

Gemini 3.5 Flash-Lite vs GPT-4o-mini

Compare context windows, live API token prices, and benchmark scores.

SIDE-BY-SIDE REVIEW

Gemini 3.5 Flash-Lite vs WizardLM-2 8x22B

Compare context windows, live API token prices, and benchmark scores.

SIDE-BY-SIDE REVIEW

Gemini 3.5 Flash-Lite vs GPT-5.2-Codex

Compare context windows, live API token prices, and benchmark scores.