Auto-generated comparison

Meta: Llama 3 70B Instruct vs Sao10K: Llama 3.1 70B Hanami x1

Meta: Llama 3 70B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityMeta: Llama 3 70B InstructSao10K: Llama 3.1 70B Hanami x1Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
8K16K🏆 Sao10K: Llama 3.1 70B Hanami x1
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.51$3.00🏆 Meta: Llama 3 70B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.74$3.00🏆 Meta: Llama 3 70B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Tie
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 70B Instruct better than Sao10K: Llama 3.1 70B Hanami x1?

Meta: Llama 3 70B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Meta: Llama 3 70B Instruct and Sao10K: Llama 3.1 70B Hanami x1?

Input: $0.51 vs $3.00 per 1M tokens. Output: $0.74 vs $3.00 per 1M tokens.

What context windows do Meta: Llama 3 70B Instruct and Sao10K: Llama 3.1 70B Hanami x1 support?

Meta: Llama 3 70B Instruct supports up to 8K tokens. Sao10K: Llama 3.1 70B Hanami x1 supports up to 16K tokens.

Do both Meta: Llama 3 70B Instruct and Sao10K: Llama 3.1 70B Hanami x1 support tool calling?

Meta: Llama 3 70B Instruct: not advertised. Sao10K: Llama 3.1 70B Hanami x1: not advertised.

Compare Meta: Llama 3 70B Instruct with other models

Compare Sao10K: Llama 3.1 70B Hanami x1 with other models