Auto-generated comparison

Meta: Llama 3.3 70B Instruct vs Z.ai: GLM 4 32B

Meta: Llama 3.3 70B Instruct and Z.ai: GLM 4 32B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityMeta: Llama 3.3 70B InstructZ.ai: GLM 4 32BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K128K🏆 Meta: Llama 3.3 70B Instruct
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.10$0.10Tie
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.32$0.10🏆 Z.ai: GLM 4 32B
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is Meta: Llama 3.3 70B Instruct better than Z.ai: GLM 4 32B?

Meta: Llama 3.3 70B Instruct and Z.ai: GLM 4 32B are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Meta: Llama 3.3 70B Instruct and Z.ai: GLM 4 32B?

Input: $0.10 vs $0.10 per 1M tokens. Output: $0.32 vs $0.10 per 1M tokens.

What context windows do Meta: Llama 3.3 70B Instruct and Z.ai: GLM 4 32B support?

Meta: Llama 3.3 70B Instruct supports up to 131K tokens. Z.ai: GLM 4 32B supports up to 128K tokens.

Do both Meta: Llama 3.3 70B Instruct and Z.ai: GLM 4 32B support tool calling?

Meta: Llama 3.3 70B Instruct: yes. Z.ai: GLM 4 32B: yes.

Compare Meta: Llama 3.3 70B Instruct with other models

Compare Z.ai: GLM 4 32B with other models