Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This is the base 405B pre-trained version. It has demonstrated strong performance compared to leading closed-source models in human evaluations. To read …
Model details →Meta: Llama 3.1 405B (base) vs Mistral: Mixtral 8x22B Instruct
Mistral: Mixtral 8x22B Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,…
Model details →Side-by-side comparison
| Capability | Meta: Llama 3.1 405B (base) | Mistral: Mixtral 8x22B Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 66K | 🏆 Mistral: Mixtral 8x22B Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $4.00 | $2.00 | 🏆 Mistral: Mixtral 8x22B Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $4.00 | $6.00 | 🏆 Meta: Llama 3.1 405B (base) |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Mistral: Mixtral 8x22B 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 3.1 405B (base) better than Mistral: Mixtral 8x22B Instruct?
Mistral: Mixtral 8x22B Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Llama 3.1 405B (base) and Mistral: Mixtral 8x22B Instruct?
Input: $4.00 vs $2.00 per 1M tokens. Output: $4.00 vs $6.00 per 1M tokens.
What context windows do Meta: Llama 3.1 405B (base) and Mistral: Mixtral 8x22B Instruct support?
Meta: Llama 3.1 405B (base) supports up to 33K tokens. Mistral: Mixtral 8x22B Instruct supports up to 66K tokens.
Do both Meta: Llama 3.1 405B (base) and Mistral: Mixtral 8x22B Instruct support tool calling?
Meta: Llama 3.1 405B (base): not advertised. Mistral: Mixtral 8x22B Instruct: yes.
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