Auto-generated comparison

Meta: Llama 3.1 405B Instruct vs Sao10K: Llama 3.1 Euryale 70B v2.2

Sao10K: Llama 3.1 Euryale 70B v2.2 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 3.1 405B InstructSao10K: Llama 3.1 Euryale 70B v2.2Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
131K131K🏆 Sao10K: Llama 3.1 Euryale 70B v2.2
Input price (per 1M)
Cost per million input tokens billed by the provider.
$4.00$0.85🏆 Sao10K: Llama 3.1 Euryale 70B v2.2
Output price (per 1M)
Cost per million output tokens billed by the provider.
$4.00$0.85🏆 Sao10K: Llama 3.1 Euryale 70B v2.2
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 3.1 405B Instruct better than Sao10K: Llama 3.1 Euryale 70B v2.2?

Sao10K: Llama 3.1 Euryale 70B v2.2 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Meta: Llama 3.1 405B Instruct and Sao10K: Llama 3.1 Euryale 70B v2.2?

Input: $4.00 vs $0.85 per 1M tokens. Output: $4.00 vs $0.85 per 1M tokens.

What context windows do Meta: Llama 3.1 405B Instruct and Sao10K: Llama 3.1 Euryale 70B v2.2 support?

Meta: Llama 3.1 405B Instruct supports up to 131K tokens. Sao10K: Llama 3.1 Euryale 70B v2.2 supports up to 131K tokens.

Do both Meta: Llama 3.1 405B Instruct and Sao10K: Llama 3.1 Euryale 70B v2.2 support tool calling?

Meta: Llama 3.1 405B Instruct: yes. Sao10K: Llama 3.1 Euryale 70B v2.2: yes.

Compare Meta: Llama 3.1 405B Instruct with other models

Compare Sao10K: Llama 3.1 Euryale 70B v2.2 with other models