Auto-generated comparison

SorcererLM 8x22B vs Sao10K: Llama 3.1 70B Hanami x1

Sao10K: Llama 3.1 70B Hanami x1 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilitySorcererLM 8x22BSao10K: Llama 3.1 70B Hanami x1Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
16K16KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$4.50$3.00🏆 Sao10K: Llama 3.1 70B Hanami x1
Output price (per 1M)
Cost per million output tokens billed by the provider.
$4.50$3.00🏆 Sao10K: Llama 3.1 70B Hanami x1
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 SorcererLM 8x22B better than Sao10K: Llama 3.1 70B Hanami x1?

Sao10K: Llama 3.1 70B Hanami x1 wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between SorcererLM 8x22B and Sao10K: Llama 3.1 70B Hanami x1?

Input: $4.50 vs $3.00 per 1M tokens. Output: $4.50 vs $3.00 per 1M tokens.

What context windows do SorcererLM 8x22B and Sao10K: Llama 3.1 70B Hanami x1 support?

SorcererLM 8x22B supports up to 16K tokens. Sao10K: Llama 3.1 70B Hanami x1 supports up to 16K tokens.

Do both SorcererLM 8x22B and Sao10K: Llama 3.1 70B Hanami x1 support tool calling?

SorcererLM 8x22B: not advertised. Sao10K: Llama 3.1 70B Hanami x1: not advertised.

Compare SorcererLM 8x22B with other models

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