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Gemini 3.1 Pro vs GLM 5 Turbo

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 3.1 Pro and GLM 5 Turbo.

Google

Gemini 3.1 Pro

Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.

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Zhipu AI

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...

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Technical Specifications

SpecificationGemini 3.1 ProGLM 5 Turbo
ProviderGoogleZhipu AI
Context Window2,000,000 tokens262,144 tokens
Agent Suitability93/100N/A
Time to First Token (TTFT)420 msN/A
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-202026-03-15

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

GLM 5 Turbo

$1.20

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

GLM 5 Turbo

$4.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
9280.0%vs8300.0%
Gemini 3.1 Pro
GLM 5 Turbo
HumanEvalPython coding & logic synthesis
9460.0%vs8450.0%
Gemini 3.1 Pro
GLM 5 Turbo
MATHComplex mathematical problem solving
8800.0%vs5800.0%
Gemini 3.1 Pro
GLM 5 Turbo
GPQAGraduate-level expert reasoning
8130.0%vs4000.0%
Gemini 3.1 Pro
GLM 5 Turbo
HellaSwagCommonsense reasoning and inference
9840.0%vs8450.0%
Gemini 3.1 Pro
GLM 5 Turbo
MT-BenchMulti-turn conversation flow quality
950.0%vs880.0%
Gemini 3.1 Pro
GLM 5 Turbo

Gemini 3.1 Pro Quirks & Gotchas

  • โ–ธBest model for massive context โ€” 2M token window is class-leading
  • โ–ธTool calling requires explicit schema definition in Google AI Studio

GLM 5 Turbo Quirks & Gotchas

No developer gotchas reported.