This model is deprecated. We only continue performance benchmarking for the default 10k input token workload. Results for other workloads are historical and no longer updated.
Meta has launched a newer model, Llama 3.2 11B (Vision). We suggest considering it instead.
For more information, see comparison of Llama 3.2 11B (Vision) to other models and API provider benchmarks for Llama 3.2 11B (Vision).
Llama 3.1 Instruct 8B API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of Llama 3.1 Instruct 8B for your use-case.
Fastest
Groq
Amazon
Novita
CoreWeave
DeepInfra (Turbo, FP8)Output speed
Total 7 providers
Lowest Latency
AmazonCoreWeaveNovitaDeepInfra (Turbo, FP8)DeepInfraTime to first token
Total 7 providers
Lowest Price
CloudflareDeepInfra (Turbo, FP8)NovitaDeepInfraGroqBlended price (per 1M tokens)
Total 7 providers
Llama 3.1 8B is available through 7 API providers, each offering different performance characteristics and pricing. Below is a comparison of the key metrics across providers.
- For output speed, the top providers are Groq (616.6 t/s), Amazon (178.1 t/s), and Novita (156.4 t/s). Speed varies significantly across providers, with a 2667% difference between the fastest and slowest.
- For latency, Amazon (0.66s), CoreWeave (0.69s), and Novita (0.85s) offer the lowest time to first token.
- For pricing, Cloudflare (0.00), DeepInfra (Turbo, FP8) (0.02), and Novita (0.02) offer the lowest blended prices per 1M tokens.
Highlights
Pricing
Pricing: Cache Hit, Input, and Output
Pricing: Blended Price
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed: Llama 3.1 Instruct 8B
Latency vs. Output Speed
Latency
Measured by Time (seconds) to First Token
Time to First Token
End-to-End Response Time
Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed
End-to-End Response Time
Key Comparison Metrics & API Features
Frequently Asked Questions
Common questions about Llama 3.1 Instruct 8B providers
Llama 3.1 Instruct 8B is available through 7 API providers: Groq, Novita, CoreWeave, Amazon, Cloudflare, DeepInfra (Turbo, FP8), and DeepInfra. Each provider offers different performance characteristics and pricing.
Llama 3.1 Instruct 8B is currently available through 7 API providers that we benchmark and track.
The most affordable providers for Llama 3.1 Instruct 8B by blended price are Cloudflare ($0.00 per 1M tokens), DeepInfra (Turbo, FP8) ($0.02 per 1M tokens), and Novita ($0.02 per 1M tokens). Blended price uses a 7:2:1 cache hit/input/output token ratio.
The providers with the lowest input token pricing for Llama 3.1 Instruct 8B are Cloudflare ($0.00 per 1M input tokens), Novita ($0.02 per 1M input tokens), and DeepInfra (Turbo, FP8) ($0.02 per 1M input tokens).
The providers with the lowest output token pricing for Llama 3.1 Instruct 8B are Cloudflare ($0.00 per 1M output tokens), DeepInfra (Turbo, FP8) ($0.04 per 1M output tokens), and Novita ($0.05 per 1M output tokens).
6 of 7 providers support JSON mode for Llama 3.1 Instruct 8B: Groq, Novita, CoreWeave, Cloudflare, DeepInfra (Turbo, FP8), and DeepInfra.
6 of 7 providers support function calling for Llama 3.1 Instruct 8B: Groq, CoreWeave, Amazon, Cloudflare, DeepInfra (Turbo, FP8), and DeepInfra.
The best provider for Llama 3.1 Instruct 8B depends on your priorities: Groq offers the highest output speed, Amazon has the lowest latency, and Cloudflare provides the most competitive pricing.
When choosing a provider for Llama 3.1 Instruct 8B, consider: output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and API features like JSON mode or function calling.
Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts.
For information about Llama 3.1 Instruct 8B's intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview