Meta: Llama 3.1 405B (base)

Text input Text output
Author's Description

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 more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).

Key Specifications
Cost
$$$
Context
32K
Parameters
405B
Released
Aug 01, 2024
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Stop Max Tokens Temperature Min P Top P Logprobs Top Logprobs Frequency Penalty Presence Penalty Seed Logit Bias
Performance Summary

Meta's Llama 3.1 405B (base) model, released August 1, 2024, demonstrates exceptional speed and competitive pricing. It consistently ranks among the fastest models and offers among the most competitive pricing across six benchmarks, achieving an "Infinityth percentile" in both categories. This positions it as a highly efficient and cost-effective option. However, the model's accuracy across the evaluated benchmarks is notably low. It achieved only 2.0% accuracy in General Knowledge and Reasoning, 9.0% in Ethics, and 10.0% in Email Classification. Furthermore, it scored 0.0% accuracy in both Instruction Following and Coding. These results suggest significant weaknesses in its ability to accurately process and respond to diverse prompts, particularly in tasks requiring precise instruction adherence, complex reasoning, and programming knowledge. While its speed and cost efficiency are significant advantages, the current accuracy levels indicate that this base pre-trained version may require substantial fine-tuning or further development to be effective for most practical applications.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $4
Completion $4

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
Hyperbolic
Hyperbolic | meta-llama/llama-3.1-405b 32K $4 / 1M tokens $4 / 1M tokens
Hyperbolic
Hyperbolic | meta-llama/llama-3.1-405b 32K $4 / 1M tokens $4 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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