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GLM-4.5-Air vs Llama 3.1 70B Instruct

GLM-4.5-Air leads the LLM Stats Score 24.4 to 7.6.

Zhipu AI · Meta · Updated for 2026

Which is better?

GLM-4.5-Air leads the overall LLM Stats Score 24.4 to 7.6, ranking #163 overall.

In the 2 individual benchmarks reported for both models, GLM-4.5-Air wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-4.5-Air

  • overall performance matters — it scores 24.4 and ranks #163 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Jul 2025

Choose Llama 3.1 70B Instruct

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

At a glance

The differences that matter most.

GLM-4.5-Air
Zhipu AI
Llama 3.1 70B Instruct
Meta
Core performance indexes
LLM Stats Score
24.4
#163
7.6
#285
Reasoning
23.8
#161
6.3
#287
Coding
11.4
#155
3.6
#214
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
— / M
$0.20 / M
Output price
— / M
$0.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
GLM-4.5-Air
Llama 3.1 70B Instruct
Math
22.5#136
11.4#241
Tool use
20.2#58
24.5#35
Finance
26.6#43
9.3#148
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5-Air · 18 for Llama 3.1 70B Instruct

2 shared

GLM-4.5-Air outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Llama 3.1 70B Instruct is better at 0 benchmarks.

GLM-4.5-Air significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

36.0B diff

GLM-4.5-Air has 36.0B more parameters than Llama 3.1 70B Instruct, making it 51.4% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Meta
Llama 3.1 70B Instruct
70.0Bparameters
106.0B
GLM-4.5-Air
70.0B
Llama 3.1 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 70B Instruct specifies input context (128,000 tokens). Only Llama 3.1 70B Instruct specifies output context (128,000 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Sep 13 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Llama 3.1 70B Instruct uses Llama 3.1 Community License.

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

GLM-4.5-Air

MIT

Open weights

Llama 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Llama 3.1 70B Instruct was released on 2024-07-23.

GLM-4.5-Air is 12 months newer than Llama 3.1 70B Instruct.

GLM-4.5-Air

Jul 28, 2025

1.1 years ago

1.0yr newer
Llama 3.1 70B Instruct

Jul 23, 2024

2.1 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→

Judge for yourself.

Run your own prompts against GLM-4.5-Air and Llama 3.1 70B Instruct side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
Llama 3.1 70B Instruct
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs Llama 3.1 70B Instruct.

Which is better, GLM-4.5-Air or Llama 3.1 70B Instruct?

GLM-4.5-Air leads the LLM Stats Score 24.4 to 7.6. GLM-4.5-Air is made by Zhipu AI and Llama 3.1 70B Instruct is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-4.5-Air compare to Llama 3.1 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 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%.

What are the context window sizes for GLM-4.5-Air and Llama 3.1 70B Instruct?

GLM-4.5-Air supports an unknown number of tokens and Llama 3.1 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 3.1 70B Instruct?

Key differences include LLM Stats Score (24.4 vs 7.6), licensing (MIT vs Llama 3.1 Community License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and Llama 3.1 70B Instruct?

GLM-4.5-Air is developed by Zhipu AI and Llama 3.1 70B Instruct is developed by Meta.

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