This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up to Sep 2021.
Model details →OpenAI: GPT-3.5 Turbo 16k vs SorcererLM 8x22B
OpenAI: GPT-3.5 Turbo 16k wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
SorcererLM is an advanced RP and storytelling model, built as a Low-rank 16-bit LoRA fine-tuned on [WizardLM-2 8x22B](/microsoft/wizardlm-2-8x22b). - Advanced reasoning and emotional intelligence for engaging and immersive interactions - V…
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-3.5 Turbo 16k | SorcererLM 8x22B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 16K | 16K | 🏆 OpenAI: GPT-3.5 Turbo 16k |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $3.00 | $4.50 | 🏆 OpenAI: GPT-3.5 Turbo 16k |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $4.00 | $4.50 | 🏆 OpenAI: GPT-3.5 Turbo 16k |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 OpenAI: GPT-3.5 Turbo 16k |
| 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 16k better than SorcererLM 8x22B?
OpenAI: GPT-3.5 Turbo 16k wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-3.5 Turbo 16k and SorcererLM 8x22B?
Input: $3.00 vs $4.50 per 1M tokens. Output: $4.00 vs $4.50 per 1M tokens.
What context windows do OpenAI: GPT-3.5 Turbo 16k and SorcererLM 8x22B support?
OpenAI: GPT-3.5 Turbo 16k supports up to 16K tokens. SorcererLM 8x22B supports up to 16K tokens.
Do both OpenAI: GPT-3.5 Turbo 16k and SorcererLM 8x22B support tool calling?
OpenAI: GPT-3.5 Turbo 16k: yes. SorcererLM 8x22B: not advertised.