Model Comparison

GLM-4.5-Air vs Llama 3.3 70B InstructWhich is better in 2026?

GLM-4.5-Air significantly outperforms across most benchmarks.

Verdict: GLM-4.5-Air vs Llama 3.3 70B Instruct — which is better?

GLM-4.5-Air (by Zhipu AI) and Llama 3.3 70B Instruct (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GLM-4.5-Air outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Llama 3.3 70B Instruct is better at 0 benchmarks. GLM-4.5-Air significantly outperforms across most benchmarks.

Choose GLM-4.5-Air if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2025

Choose Llama 3.3 70B Instruct if…

  • you want predictable pricing at $0.20/M input and $0.20/M output

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-4.5-Air outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Llama 3.3 70B Instruct is better at 0 benchmarks.

GLM-4.5-Air significantly outperforms across most benchmarks.

Mon Jul 27 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

36.0B diff

GLM-4.5-Air has 36.0B more parameters than Llama 3.3 70B Instruct, making it 51.4% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
106.0B
GLM-4.5-Air
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Jul 27 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-4.5-Air

MIT

Open weights

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Llama 3.3 70B Instruct was released on 2024-12-06.

GLM-4.5-Air is 8 months newer than Llama 3.3 70B Instruct.

GLM-4.5-Air

Jul 28, 2025

12 months ago

7mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.6 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Higher GPQA score (75.0% vs 50.5%)
Higher MMLU-Pro score (81.4% vs 68.9%)
Meta
Larger context window (128,000 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GLM-4.5-Air and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5-Air
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about GLM-4.5-Air vs Llama 3.3 70B Instruct.

Which is better, GLM-4.5-Air or Llama 3.3 70B Instruct?

GLM-4.5-Air significantly outperforms across most benchmarks. GLM-4.5-Air is made by Zhipu AI and Llama 3.3 70B Instruct is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-4.5-Air compare to Llama 3.3 70B Instruct in benchmarks?

GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

What are the context window sizes for GLM-4.5-Air and Llama 3.3 70B Instruct?

GLM-4.5-Air supports an unknown number of tokens and Llama 3.3 70B 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-4.5-Air and Llama 3.3 70B Instruct?

Key differences include licensing (MIT vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and Llama 3.3 70B Instruct?

GLM-4.5-Air is developed by Zhipu AI and Llama 3.3 70B Instruct is developed by Meta.

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