DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperfo…
Model details →DeepSeek Chat (legacy id) vs meta-llama/Llama-3.1-8B-Instruct
meta-llama/Llama-3.1-8B-Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
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 →Side-by-side comparison
| Capability | DeepSeek Chat (legacy id) | meta-llama/Llama-3.1-8B-Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 16K | 🏆 DeepSeek Chat (legacy id) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.32 | $0.02 | 🏆 meta-llama/Llama-3.1-8B-Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.89 | $0.05 | 🏆 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. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is DeepSeek Chat (legacy id) better than meta-llama/Llama-3.1-8B-Instruct?
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 DeepSeek Chat (legacy id) and meta-llama/Llama-3.1-8B-Instruct?
Input: $0.32 vs $0.02 per 1M tokens. Output: $0.89 vs $0.05 per 1M tokens.
What context windows do DeepSeek Chat (legacy id) and meta-llama/Llama-3.1-8B-Instruct support?
DeepSeek Chat (legacy id) supports up to 164K tokens. meta-llama/Llama-3.1-8B-Instruct supports up to 16K tokens.
Do both DeepSeek Chat (legacy id) and meta-llama/Llama-3.1-8B-Instruct support tool calling?
DeepSeek Chat (legacy id): yes. meta-llama/Llama-3.1-8B-Instruct: yes.