GLM-5.3 vs Llama 3.2 11B Instruct
Comparing GLM-5.3 and Llama 3.2 11B Instruct across benchmarks, pricing, and capabilities.
Zhipu AI · Meta · Updated for 2026
Which is better?
GLM-5.3 and Llama 3.2 11B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Llama 3.2 11B Instruct is roughly 43.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose GLM-5.3
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Llama 3.2 11B Instruct
- cost matters — it's about 43.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5.3 and Llama 3.2 11B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5.3 ($1.40/1M tokens) is 28.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
For output processing, GLM-5.3 ($4.40/1M tokens) is 88.0x more expensive than Llama 3.2 11B Instruct ($0.05/1M tokens).
In conclusion, GLM-5.3 is more expensive than Llama 3.2 11B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GLM-5.3 has 742.4B more parameters than Llama 3.2 11B Instruct, making it 7003.8% larger.
Context Window
Maximum input and output token capacity
GLM-5.3 accepts 1,000,000 input tokens compared to Llama 3.2 11B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Llama 3.2 11B Instruct supports multimodal inputs, whereas GLM-5.3 does not.
Llama 3.2 11B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5.3
Llama 3.2 11B Instruct
Release Timeline
When each model was launched
GLM-5.3 was released on 2026-08-14, while Llama 3.2 11B Instruct was released on 2024-09-25.
GLM-5.3 is 23 months newer than Llama 3.2 11B Instruct.
Aug 14, 2026
1 weeks ago
1.9yr newerSep 25, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Llama 3.2 11B Instruct has a documented knowledge cutoff of 2023-12-31, while GLM-5.3's cutoff date is not specified.
We can confirm Llama 3.2 11B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without GLM-5.3's cutoff date.
—
Dec 2023
Provider Availability
GLM-5.3 is available from ZAI. Llama 3.2 11B Instruct is available from DeepInfra, Sambanova, Bedrock, Groq, Together, Fireworks.
GLM-5.3
Llama 3.2 11B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against GLM-5.3 and Llama 3.2 11B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GLM-5.3 vs Llama 3.2 11B Instruct.