Compare/GLM-5.2 (Non-reasoning) vs Llama 3.1 Instruct 405B

GLM-5.2 (Non-reasoning)vsLlama 3.1 Instruct 405B

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Z AI

GLM-5.2 (Non-reasoning)

Input
$2.09/M
Output
$6.38/M
Speed
121 tok/s
TTFT
1.09s
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Llama 3.1 Instruct 405B

Input
$2.75/M
Output
$6.5/M
Speed
77 tok/s
TTFT
0.75s

Winner by Category

Cheaper
GLM-5.2 (Non-reasoning)
Faster (tok/s)
GLM-5.2 (Non-reasoning)
Lower Latency
Llama 3.1 Instruct 405B
Benchmarks (5-7)
Llama 3.1 Instruct 405B

Pricing Comparison

MetricGLM-5.2 (Non-reasoning)Llama 3.1 Instruct 405B
Input ($/M tokens)$2.09$2.75
Output ($/M tokens)$6.38$6.5
Cost for 1M input + 100K output tokens:
GLM-5.2 (Non-reasoning)$2.73
Llama 3.1 Instruct 405B$3.40

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-5.2 (Non-reasoning)
121 tok/s
Llama 3.1 Instruct 405B
77 tok/s
Time to First Token (seconds) — lower is better
GLM-5.2 (Non-reasoning)
1.09s
Llama 3.1 Instruct 405B
0.75s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
34.18.5
Coding Index
46.5
Math Index
3.0
GPQA Diamond
68.6%51.5%
MMLU-Pro
73.2%
LiveCodeBench
30.5%
AIME 2025
3.0%
MATH-500
70.3%
Humanity's Last Exam
8.4%4.2%
SciCode
36.1%29.9%
IFBench
39.0%
TerminalBench
6.8%
GLM-5.2 (Non-reasoning)5 wins
7 winsLlama 3.1 Instruct 405B

Frequently Asked Questions

Which is cheaper, GLM-5.2 (Non-reasoning) or Llama 3.1 Instruct 405B?

GLM-5.2 (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $3.16/M tokens vs $3.69/M for Llama 3.1 Instruct 405B.

Which model performs better on benchmarks?

Llama 3.1 Instruct 405B wins 7 out of 12 benchmarks compared to 5 for GLM-5.2 (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GLM-5.2 (Non-reasoning) generates tokens faster at 121 tok/s vs 77 tok/s. However, Llama 3.1 Instruct 405B has lower time-to-first-token (0.75s vs 1.09s).

When should I use GLM-5.2 (Non-reasoning) vs Llama 3.1 Instruct 405B?

Choose based on your priorities: GLM-5.2 (Non-reasoning) for lower cost, Llama 3.1 Instruct 405B for stronger benchmark performance, and GLM-5.2 (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.