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Gemini 3.8 Flash vs GLM 5.3 FlashX

Detailed technical comparison between Gemini 3.8 Flash (Google) and GLM 5.3 FlashX (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 3.8 Flash: 6 WinsvsGLM 5.3 FlashX: 0 Wins
Context Leader

Tie

Equal Capacity
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 5.3 FlashX

$0.37 / MTok
Googleactive

Gemini 3.8 Flash

Gemini 3.8 Flash is an advanced artificial intelligence model engineered by Google. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Gemini 3.8 Flash represents a key architectural iteration in the Google model family. First released in 2026-09-02, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), Gemini 3.8 Flash processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View Gemini 3.8 Flash Full Specs →
Zhipu AIactive

GLM 5.3 FlashX

GLM 5.3 FlashX is an advanced artificial intelligence model engineered by Zhipu AI. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, GLM 5.3 FlashX represents a key architectural iteration in the Zhipu AI model family. First released in 2026-09-18, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance. Featuring an input capacity of 1,048,576 tokens (approximately 1,398 words), GLM 5.3 FlashX processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.

View GLM 5.3 FlashX Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationGemini 3.8 FlashGLM 5.3 FlashX
ProviderGoogleZhipu AI
Context Window1,048,576 tokens1,048,576 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.)Beta Access (est.)
API AvailableYesYes
Released Date2026-09-022026-09-18

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.8 Flash

$0.75

GLM 5.3 FlashX

$0.37

Output Price per Million Tokens

Gemini 3.8 Flash

$3.75

GLM 5.3 FlashX

$1.25

💡 Cost Ratio: GLM 5.3 FlashX is 2.0x cheaper per input token than Gemini 3.8 Flash.

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 (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
91.2%vs75.6%+15.6% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
GLM 5.3 FlashX
HumanEvalPython coding & logic synthesis
93.5%vs68.4%+25.1% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
GLM 5.3 FlashX
MATHComplex mathematical problem solving
89.0%vs41.6%+47.4% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
GLM 5.3 FlashX
GPQAGraduate-level expert reasoning
72.5%vs29.0%+43.5% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
GLM 5.3 FlashX
HellaSwagCommonsense reasoning and inference
94.0%vs76.2%+17.8% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
GLM 5.3 FlashX
MT-BenchMulti-turn conversation flow quality
9.4%vs7.9%+1.5% Gemini 3.8 Flash
Gemini 3.8 Flash 🏆
GLM 5.3 FlashX

Gemini 3.8 Flash Quirks & Gotchas

No developer gotchas reported.

GLM 5.3 FlashX Quirks & Gotchas

No developer gotchas reported.

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