Auto-generated comparison

OpenAI: GPT-3.5 Turbo Instruct vs SorcererLM 8x22B

OpenAI: GPT-3.5 Turbo Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityOpenAI: GPT-3.5 Turbo InstructSorcererLM 8x22BWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
4K16K🏆 SorcererLM 8x22B
Input price (per 1M)
Cost per million input tokens billed by the provider.
$1.50$4.50🏆 OpenAI: GPT-3.5 Turbo Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$2.00$4.50🏆 OpenAI: GPT-3.5 Turbo 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 OpenAI: GPT-3.5 Turbo Instruct better than SorcererLM 8x22B?

OpenAI: GPT-3.5 Turbo Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between OpenAI: GPT-3.5 Turbo Instruct and SorcererLM 8x22B?

Input: $1.50 vs $4.50 per 1M tokens. Output: $2.00 vs $4.50 per 1M tokens.

What context windows do OpenAI: GPT-3.5 Turbo Instruct and SorcererLM 8x22B support?

OpenAI: GPT-3.5 Turbo Instruct supports up to 4K tokens. SorcererLM 8x22B supports up to 16K tokens.

Do both OpenAI: GPT-3.5 Turbo Instruct and SorcererLM 8x22B support tool calling?

OpenAI: GPT-3.5 Turbo Instruct: not advertised. SorcererLM 8x22B: not advertised.

Compare OpenAI: GPT-3.5 Turbo Instruct with other models

Compare SorcererLM 8x22B with other models