The AI arena is free today

Open Superagent

GLM-5.3 vs Llama 3.2 3B Instruct

Comparing GLM-5.3 and Llama 3.2 3B Instruct across benchmarks, pricing, and capabilities.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-5.3 and Llama 3.2 3B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Llama 3.2 3B Instruct is roughly 172.0x 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 3B Instruct

  • cost matters — it's about 172.0x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$1.40 / M
$0.01 / M
Output price
$4.40 / M
$0.02 / M
Context window
1,000,000
128,000
Released
Aug 2026
Sep 2024
License
Unknown
Llama 3.2 Community License

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Llama 3.2 3B 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

Llama 3.2 3B Instruct costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 140.0x more expensive than Llama 3.2 3B Instruct ($0.01/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 220.0x more expensive than Llama 3.2 3B Instruct ($0.02/1M tokens).

In conclusion, GLM-5.3 is more expensive than Llama 3.2 3B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Meta
Llama 3.2 3B Instruct
Input tokens$0.01
Output tokens$0.02
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

749.8B diff

GLM-5.3 has 749.8B more parameters than Llama 3.2 3B Instruct, making it 23357.9% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Meta
Llama 3.2 3B Instruct
3.2Bparameters
753.0B
GLM-5.3
3.2B
Llama 3.2 3B Instruct

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Meta
Llama 3.2 3B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Llama 3.2 3B Instruct was released on 2024-09-25.

GLM-5.3 is 23 months newer than Llama 3.2 3B Instruct.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.9yr newer
Llama 3.2 3B Instruct

Sep 25, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5.3 is available from ZAI. Llama 3.2 3B Instruct is available from DeepInfra.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

Llama 3.2 3B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.01/1MOutput Price:Output: $0.02/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GLM-5.3 and Llama 3.2 3B Instruct side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Llama 3.2 3B Instruct
Open in Playground

FAQ

Common questions about GLM-5.3 vs Llama 3.2 3B Instruct.

Which is better, GLM-5.3 or Llama 3.2 3B Instruct?

GLM-5.3 (Zhipu AI) and Llama 3.2 3B Instruct (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does GLM-5.3 compare to Llama 3.2 3B Instruct in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. Llama 3.2 3B Instruct scores NIH/Multi-needle: 84.7%, ARC-C: 78.6%, GSM8k: 77.7%, IFEval: 77.4%, HellaSwag: 69.8%.

Is GLM-5.3 cheaper than Llama 3.2 3B Instruct?

Llama 3.2 3B Instruct is 140.0x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Llama 3.2 3B Instruct costs $0.01/M input and $0.02/M output via deepinfra.

What are the context window sizes for GLM-5.3 and Llama 3.2 3B Instruct?

GLM-5.3 supports 1.0M tokens and Llama 3.2 3B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-5.3 and Llama 3.2 3B Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($1.40 vs $0.01/M), licensing (Unknown vs Llama 3.2 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Llama 3.2 3B Instruct?

GLM-5.3 is developed by Zhipu AI and Llama 3.2 3B Instruct is developed by Meta.