LLaMA 3.1 (405B) vs Mistral Large: Benchmarks, Pricing, and Context Window Comparison
LLaMA 3.1 (405B) vs Mistral Large compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.
Verdict
LLaMA 3.1 (405B) has lower listed token pricing, while Mistral Large can still be preferable if benchmark results better match your workload.
Author: Mirai Minds Research Team
Last updated:
Compare
to
Overview
LLaMA 3.1 (405B) was released 5 months after Mistral Large.
| LLaMA 3.1 (405B) | Mistral Large | |
|---|---|---|
Provider The entity that provides this model. | Meta | Mistral |
Input Context Window The number of tokens supported by the input context window. | 128K tokens | 32K tokens |
Maximum Output Tokens The number of tokens that can be generated by the model in a single request. | 2,048 tokens | 4,096 tokens |
Release Date When the model was first released. | Jul 23, 2024 over 1 yearago 2024-07-23 | Feb 26, 2024 over 1 year 2024-02-26 |
Leaderboard
| LLaMA 3.1 (405B) | Mistral Large | |
|---|---|---|
Rank | Unknown | Unknown |
Arena Elo | Not specified. | Not specified. |
95% CI | Not specified. | Not specified. |
Votes | Not specified. | Not specified. |
License | Not specified. | Not specified. |
Knowledge Cutoff | Unknown | Unknown |
Pricing
| LLaMA 3.1 (405B) | Mistral Large | |
|---|---|---|
Input Cost of input data provided to the model. | $1.79 per million tokens | $8.00 per million tokens |
Output Cost of output tokens generated by the model. | $1.79 per million tokens | $8.00 per million tokens |
Benchmarks
Compare relevant benchmarks between LLaMA 3.1 (405B) and Mistral Large Instruct.
| LLaMA 3.1 (405B) | Mistral Large | |
|---|---|---|
MMLU Evaluating LLM knowledge acquisition in zero-shot and few-shot settings. | 85.2 (5-shot) | 81.2 (5-shot) |
MMMU A wide ranging multi-discipline and multimodal benchmark. | Benchmark not available. | Benchmark not available. |
HellaSwag A challenging sentence completion benchmark. | Benchmark not available. | 89.2 (10-shot) |