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GLM 4.7 Flash 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 4.7 Flash and Llama 3.2 11B Vision.

Zhipu AI

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,...

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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 4.7 FlashLlama 3.2 11B Vision
ProviderZhipu AIMeta
Context Window202,752 tokens131,072 tokens
Agent SuitabilityN/A72/100
Time to First Token (TTFT)N/A150 ms
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-192024-09-25

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7 Flash

$0.06

Llama 3.2 11B Vision

$0.34

Output Price per Million Tokens

GLM 4.7 Flash

$0.40

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
7720.0%vs7300.0%
GLM 4.7 Flash
Llama 3.2 11B Vision
HumanEvalPython coding & logic synthesis
7850.0%vs7500.0%
GLM 4.7 Flash
Llama 3.2 11B Vision
MATHComplex mathematical problem solving
4000.0%vs5800.0%
GLM 4.7 Flash
Llama 3.2 11B Vision
GPQAGraduate-level expert reasoning
3100.0%vs3800.0%
GLM 4.7 Flash
Llama 3.2 11B Vision
HellaSwagCommonsense reasoning and inference
8000.0%vs8200.0%
GLM 4.7 Flash
Llama 3.2 11B Vision
MT-BenchMulti-turn conversation flow quality
810.0%vs790.0%
GLM 4.7 Flash
Llama 3.2 11B Vision

GLM 4.7 Flash 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