DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further …
Model details →DeepSeek: DeepSeek V3.1 Terminus (exacto) vs Meta: Llama 3 8B Instruct
DeepSeek: DeepSeek V3.1 Terminus (exacto) and Meta: Llama 3 8B Instruct are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
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 →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.1 Terminus (exacto) | Meta: Llama 3 8B Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 8K | 🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.21 | $0.03 | 🏆 Meta: Llama 3 8B Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.79 | $0.04 | 🏆 Meta: Llama 3 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. | Yes | — | 🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto) |
Frequently asked questions
Is DeepSeek: DeepSeek V3.1 Terminus (exacto) better than Meta: Llama 3 8B Instruct?
DeepSeek: DeepSeek V3.1 Terminus (exacto) and Meta: Llama 3 8B Instruct are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between DeepSeek: DeepSeek V3.1 Terminus (exacto) and Meta: Llama 3 8B Instruct?
Input: $0.21 vs $0.03 per 1M tokens. Output: $0.79 vs $0.04 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.1 Terminus (exacto) and Meta: Llama 3 8B Instruct support?
DeepSeek: DeepSeek V3.1 Terminus (exacto) supports up to 164K tokens. Meta: Llama 3 8B Instruct supports up to 8K tokens.
Do both DeepSeek: DeepSeek V3.1 Terminus (exacto) and Meta: Llama 3 8B Instruct support tool calling?
DeepSeek: DeepSeek V3.1 Terminus (exacto): yes. Meta: Llama 3 8B Instruct: yes.