Author's Description
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. To read more about the model release, [click here](https://ai.meta.com/blog/meta-llama-3-1/). Usage of this model is subject to [Meta's Acceptable Use Policy](https://llama.meta.com/llama3/use-policy/).
Key Specifications
Supported Parameters
This model supports the following parameters:
Performance Summary
Meta's Llama 3.1 8B Instruct model, released on July 22, 2024, demonstrates a strong overall profile, particularly excelling in cost-efficiency and reliability. It consistently offers among the most competitive pricing, ranking in the 97th percentile across six benchmarks. The model also exhibits high reliability with a 92% success rate, indicating consistent and usable responses. In terms of speed, it performs competitively, ranking in the 59th percentile. Across benchmark categories, Llama 3.1 8B Instruct shows notable strengths in cost-effectiveness for specific tasks, being the most accurate model at its price point for General Knowledge and Email Classification. It achieves a high 98.5% accuracy in Ethics, showcasing strong moral reasoning capabilities. However, the model exhibits weaknesses in complex Reasoning and Instruction Following, with accuracy scores of 18.0% and 32.2% respectively. Its performance in General Knowledge and Coding is moderate, with accuracy around the 30th percentile. The model's 131,000 context length supports extensive interactions.
Model Pricing
Current Pricing
Feature | Price (per 1M tokens) |
---|---|
Prompt | $0.02 |
Completion | $0.03 |
Price History
Available Endpoints
Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
---|---|---|---|---|
Kluster
|
Kluster | meta-llama/llama-3.1-8b-instruct | 131K | $0.02 / 1M tokens | $0.03 / 1M tokens |
DeepInfra
|
DeepInfra | meta-llama/llama-3.1-8b-instruct | 131K | $0.02 / 1M tokens | $0.03 / 1M tokens |
InferenceNet
|
InferenceNet | meta-llama/llama-3.1-8b-instruct | 16K | $0.02 / 1M tokens | $0.03 / 1M tokens |
Novita
|
Novita | meta-llama/llama-3.1-8b-instruct | 16K | $0.02 / 1M tokens | $0.05 / 1M tokens |
Nebius
|
Nebius | meta-llama/llama-3.1-8b-instruct | 131K | $0.02 / 1M tokens | $0.06 / 1M tokens |
Lambda
|
Lambda | meta-llama/llama-3.1-8b-instruct | 131K | $0.02 / 1M tokens | $0.03 / 1M tokens |
DeepInfra
|
DeepInfra | meta-llama/llama-3.1-8b-instruct | 131K | $0.03 / 1M tokens | $0.05 / 1M tokens |
Cloudflare
|
Cloudflare | meta-llama/llama-3.1-8b-instruct | 32K | $0.15 / 1M tokens | $0.29 / 1M tokens |
Groq
|
Groq | meta-llama/llama-3.1-8b-instruct | 131K | $0.05 / 1M tokens | $0.08 / 1M tokens |
Hyperbolic
|
Hyperbolic | meta-llama/llama-3.1-8b-instruct | 131K | $0.1 / 1M tokens | $0.1 / 1M tokens |
Cerebras
|
Cerebras | meta-llama/llama-3.1-8b-instruct | 32K | $0.1 / 1M tokens | $0.1 / 1M tokens |
Friendli
|
Friendli | meta-llama/llama-3.1-8b-instruct | 131K | $0.1 / 1M tokens | $0.1 / 1M tokens |
SambaNova
|
SambaNova | meta-llama/llama-3.1-8b-instruct | 16K | $0.1 / 1M tokens | $0.2 / 1M tokens |
Together
|
Together | meta-llama/llama-3.1-8b-instruct | 131K | $0.18 / 1M tokens | $0.18 / 1M tokens |
Fireworks
|
Fireworks | meta-llama/llama-3.1-8b-instruct | 131K | $0.2 / 1M tokens | $0.2 / 1M tokens |
Avian
|
Avian | meta-llama/llama-3.1-8b-instruct | 131K | $0.02 / 1M tokens | $0.03 / 1M tokens |
SiliconFlow
|
SiliconFlow | meta-llama/llama-3.1-8b-instruct | 32K | $0.06 / 1M tokens | $0.06 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by meta-llama
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
Meta: Llama Guard 4 12B | Apr 29, 2025 | 12B | 163K |
Text input
Image input
Text output
|
— | ★ | $$ |
Meta: Llama 4 Maverick | Apr 05, 2025 | 17B | 1M |
Text input
Image input
Text output
|
★★★★★ | ★★★ | $$$ |
Meta: Llama 4 Scout | Apr 05, 2025 | 17B | 327K |
Text input
Image input
Text output
|
★★★★ | ★★ | $$ |
Llama Guard 3 8B | Feb 12, 2025 | 8B | 131K |
Text input
Text output
|
★★ | ★ | $$ |
Meta: Llama 3.3 70B Instruct | Dec 06, 2024 | 70B | 131K |
Text input
Text output
|
★★★★ | ★★★★ | $ |
Meta: Llama 3.2 1B Instruct | Sep 24, 2024 | 1B | 131K |
Text input
Text output
|
★★ | ★ | $ |
Meta: Llama 3.2 3B Instruct | Sep 24, 2024 | 3B | 131K |
Text input
Text output
|
★★★ | ★ | $ |
Meta: Llama 3.2 11B Vision Instruct | Sep 24, 2024 | 11B | 128K |
Text input
Image input
Text output
|
★★ | ★★ | $$ |
Meta: Llama 3.2 90B Vision Instruct | Sep 24, 2024 | 90B | 131K |
Text input
Image input
Text output
|
★★★ | ★★ | $$$$ |
Meta: Llama 3.1 405B (base) | Aug 01, 2024 | 405B | 32K |
Text input
Text output
|
★ | ★ | $$$ |
Meta: Llama 3.1 70B Instruct | Jul 22, 2024 | 70B | 131K |
Text input
Text output
|
★★★★ | ★★ | $$ |
Meta: Llama 3.1 405B Instruct | Jul 22, 2024 | 405B | 32K |
Text input
Text output
|
★★★★ | ★★ | $$$ |
Meta: LlamaGuard 2 8B | May 12, 2024 | 8B | 8K |
Text input
Text output
|
★★★★ | ★ | $$ |
Meta: Llama 3 8B Instruct | Apr 17, 2024 | 8B | 8K |
Text input
Text output
|
★★★ | ★★ | $ |
Meta: Llama 3 70B Instruct | Apr 17, 2024 | 70B | 8K |
Text input
Text output
|
★★★★ | ★★ | $$$ |
Meta: Llama 2 70B Chat Unavailable | Jun 19, 2023 | 70B | 4K |
Text input
Text output
|
— | — | $$$$ |