Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance compared to leading closed-source models in human evaluations…
Model details →meta-llama/Llama-3.1-8B-Instruct vs Reka Edge
meta-llama/Llama-3.1-8B-Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding, vi…
Model details →Side-by-side comparison
| Capability | meta-llama/Llama-3.1-8B-Instruct | Reka Edge | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 16K | 16K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.02 | $0.10 | 🏆 meta-llama/Llama-3.1-8B-Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.05 | $0.10 | 🏆 meta-llama/Llama-3.1-8B-Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Reka Edge |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is meta-llama/Llama-3.1-8B-Instruct better than Reka Edge?
meta-llama/Llama-3.1-8B-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/Llama-3.1-8B-Instruct and Reka Edge?
Input: $0.02 vs $0.10 per 1M tokens. Output: $0.05 vs $0.10 per 1M tokens.
What context windows do meta-llama/Llama-3.1-8B-Instruct and Reka Edge support?
meta-llama/Llama-3.1-8B-Instruct supports up to 16K tokens. Reka Edge supports up to 16K tokens.
Do both meta-llama/Llama-3.1-8B-Instruct and Reka Edge support tool calling?
meta-llama/Llama-3.1-8B-Instruct: yes. Reka Edge: yes.