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...
Model details →meta-llama/Llama-3.1-8B-Instruct vs Mistral: Mistral Nemo
Mistral: Mistral Nemo wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...
Model details →Side-by-side comparison
| Capability | meta-llama/Llama-3.1-8B-Instruct | Mistral: Mistral Nemo | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.05 | $0.02 | 🏆 Mistral: Mistral Nemo |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.08 | $0.03 | 🏆 Mistral: Mistral Nemo |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is meta-llama/Llama-3.1-8B-Instruct better than Mistral: Mistral Nemo?
Mistral: Mistral Nemo 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 Mistral: Mistral Nemo?
Input: $0.05 vs $0.02 per 1M tokens. Output: $0.08 vs $0.03 per 1M tokens.
What context windows do meta-llama/Llama-3.1-8B-Instruct and Mistral: Mistral Nemo support?
meta-llama/Llama-3.1-8B-Instruct supports up to 131K tokens. Mistral: Mistral Nemo supports up to 131K tokens.
Do both meta-llama/Llama-3.1-8B-Instruct and Mistral: Mistral Nemo support tool calling?
meta-llama/Llama-3.1-8B-Instruct: yes. Mistral: Mistral Nemo: yes.