Auto-generated comparison

DeepSeek Chat (legacy id) vs Meta: Llama 3.1 70B Instruct

DeepSeek Chat (legacy id) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek Chat (legacy id)Meta: Llama 3.1 70B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K131K🏆 DeepSeek Chat (legacy id)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.32$0.40🏆 DeepSeek Chat (legacy id)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.89$0.40🏆 Meta: Llama 3.1 70B Instruct
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 DeepSeek Chat (legacy id) better than Meta: Llama 3.1 70B Instruct?

DeepSeek Chat (legacy id) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek Chat (legacy id) and Meta: Llama 3.1 70B Instruct?

Input: $0.32 vs $0.40 per 1M tokens. Output: $0.89 vs $0.40 per 1M tokens.

What context windows do DeepSeek Chat (legacy id) and Meta: Llama 3.1 70B Instruct support?

DeepSeek Chat (legacy id) supports up to 164K tokens. Meta: Llama 3.1 70B Instruct supports up to 131K tokens.

Do both DeepSeek Chat (legacy id) and Meta: Llama 3.1 70B Instruct support tool calling?

DeepSeek Chat (legacy id): yes. Meta: Llama 3.1 70B Instruct: yes.

Compare DeepSeek Chat (legacy id) with other models

Compare Meta: Llama 3.1 70B Instruct with other models