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GLM 5 Turbo vs Llama 3.2 11B Vision

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 GLM 5 Turbo and Llama 3.2 11B Vision.

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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Meta

Llama 3.2 11B Vision

Meta's lightweight open weights vision model, optimized for mobile devices and local deployments. Capable of visual understanding, chart reading, and fast text generation.

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Technical Specifications

SpecificationGLM 5 TurboLlama 3.2 11B Vision
ProviderZhipu AIMeta
Context Window262,144 tokens131,072 tokens
Agent SuitabilityN/A72/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-03-152024-09-25

API Pricing Comparison

Input Price per Million Tokens

GLM 5 Turbo

$1.20

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

GLM 5 Turbo

$4.00

Llama 3.2 11B Vision

$0.34

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
8300.0%vs7300.0%
GLM 5 Turbo
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
8450.0%vs7500.0%
GLM 5 Turbo
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
5800.0%vs5800.0%
GLM 5 Turbo
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
4000.0%vs3800.0%
GLM 5 Turbo
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
8450.0%vs8200.0%
GLM 5 Turbo
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
880.0%vs790.0%
GLM 5 Turbo
Llama 3.2 11B Vision

GLM 5 Turbo Quirks & Gotchas

No developer gotchas reported.

Llama 3.2 11B Vision Quirks & Gotchas

  • โ–ธLightweight vision model for edge/on-device deployments
  • โ–ธLimited tool calling โ€” use Llama 4 for production agentic tasks