Meta's latest class of model (Llama 3) launched with a variety of sizes & flavors. This 8B instruct-tuned version was optimized for high quality dialogue usecases. It has demonstrated strong performance compared to leading closed-source mo…
Model details →Meta: Llama 3 8B Instruct vs ReMM SLERP 13B
Meta: Llama 3 8B Instruct wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
A recreation trial of the original MythoMax-L2-B13 but with updated models. #merge
Model details →Side-by-side comparison
| Capability | Meta: Llama 3 8B Instruct | ReMM SLERP 13B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 8K | 6K | 🏆 Meta: Llama 3 8B Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.03 | $0.45 | 🏆 Meta: Llama 3 8B Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.04 | $0.65 | 🏆 Meta: Llama 3 8B Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | — | 🏆 Meta: Llama 3 8B Instruct |
| 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 8B Instruct better than ReMM SLERP 13B?
Meta: Llama 3 8B Instruct wins on 4 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Llama 3 8B Instruct and ReMM SLERP 13B?
Input: $0.03 vs $0.45 per 1M tokens. Output: $0.04 vs $0.65 per 1M tokens.
What context windows do Meta: Llama 3 8B Instruct and ReMM SLERP 13B support?
Meta: Llama 3 8B Instruct supports up to 8K tokens. ReMM SLERP 13B supports up to 6K tokens.
Do both Meta: Llama 3 8B Instruct and ReMM SLERP 13B support tool calling?
Meta: Llama 3 8B Instruct: yes. ReMM SLERP 13B: not advertised.