GLM-4.5 vs Llama 3.3 70B Instruct: Specs & Benchmark Comparison
| Characteristic | GLM-4.5 | Llama 3.3 70B Instruct |
|---|---|---|
| Company | Zhipu AI | Meta |
| Release Date | July 27, 2025 | December 6, 2024 |
| Parameters | 355B | 70B |
| Multimodal | No | No |
| Context (input) | 131K | 128K |
| Context (output) | 98K | 128K |
| Input Price / 1M | $0.60 | $0.88 |
| Output Price / 1M | $2.20 | $0.88 |
| Average Score | 0.8 | 0.8 |
| Benchmarks | ||
| GPQA | 0.8 | 0.5 |
| MMLU-Pro | 0.8 | 0.7 |
Visual Benchmark Comparison
GLM-4.5
Llama 3.3 70B Instruct
GPQA0.8 vs 0.5
0.8
0.5
MMLU-Pro0.8 vs 0.7
0.8
0.7
Verdict
GLM-4.5 leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GLM-4.5 — 0.8, Llama 3.3 70B Instruct — 0.8.
API Cost
Llama 3.3 70B Instruct is 1.6x cheaper: input $0.88/1M vs $0.60/1M tokens.
Context Window
GLM-4.5 supports a larger context: 131K vs 128K tokens.
Recency
GLM-4.5 is newer: released 7/27/2025 vs 12/6/2024.
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Frequently Asked Questions
Which is better for coding — GLM-4.5 or Llama 3.3 70B Instruct?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-4.5 or Llama 3.3 70B Instruct?
GLM-4.5 is cheaper for input: $0.60 per 1M tokens vs $0.88.
Which has a larger context window — GLM-4.5 or Llama 3.3 70B Instruct?
GLM-4.5 supports a larger context: 131,072 tokens vs 128,000.
The GLM-4.5 and Llama 3.3 70B Instruct comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-4.5 or Llama 3.3 70B Instruct page. See also the complete list of AI model comparisons.