Meta has launched a newer model, Llama 3.2 11B (Vision), we suggest considering this model 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
Analysis of API providers for Llama 3.1 Instruct 8B across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. API providers benchmarked include Nebius Base, Eigen AI, Databricks, Groq, Cerebras, Nebius Fast, Weights & Biases, Hyperbolic, Microsoft Azure, Amazon Bedrock, Cloudflare, FriendliAI, CompactifAI, Novita, SambaNova, DeepInfra (Turbo, FP8), Scaleway, DeepInfra.
Fastest
Cerebras
SambaNova
Groq
Eigen AI
CompactifAIOutput speed
Total 18 providers
Lowest Latency
Groq
FriendliAICerebrasCompactifAI
AmazonTime to first token
Total 18 providers
Lowest Price
DeepInfra (Turbo, FP8)
NovitaDeepInfra
Nebius BaseNebius FastBlended price (per 1M tokens)
Total 18 providers
Llama 3.1 8B is available through 18 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 Cerebras (2,490.8 t/s), SambaNova (1,179.8 t/s), Groq (941.0 t/s). Speed varies significantly across providers, with a 392% difference between the fastest and slowest.
- For latency, Groq (0.15s), FriendliAI (0.23s), Cerebras (0.25s) offer the lowest time to first token.
- For pricing, DeepInfra (Turbo, FP8) (0.02), Novita (0.03), DeepInfra (0.03) offer the lowest blended prices per 1M tokens.
Update: Default performance benchmarking workload has updated to 10k input tokens to better reflect production use cases. You can still select different workloads above!
Pricing
Pricing: Input and Output Prices: Llama 3.1 8B Providers
Speed vs. Price: Llama 3.1 8B Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed: Llama 3.1 8B Providers
Latency vs. Output Speed: Llama 3.1 8B Providers
Latency
Measured by Time (seconds) to First Token
Time to First Token: Llama 3.1 8B Providers
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: Llama 3.1 8B Providers
API Features
Function (Tool) Calling & JSON Mode: Llama 3.1 8B Providers
Databricks
Groq
Cerebras
Weights & Biases
Hyperbolic
Azure
Cloudflare
SambaNova
DeepInfra (Turbo, FP8)
ScalewayContext Window: Llama 3.1 8B Providers
Summary Table of Key Comparison Metrics
Frequently Asked Questions
Common questions about Llama 3.1 Instruct 8B providers
Llama 3.1 Instruct 8B is available through 18 API providers: Nebius Base, Eigen AI, Databricks, Groq, Cerebras, Nebius Fast, Weights & Biases, Hyperbolic, Azure, Amazon, Cloudflare, FriendliAI, CompactifAI, Novita, SambaNova, DeepInfra (Turbo, FP8), Scaleway, and DeepInfra. Each provider offers different performance characteristics and pricing.
Llama 3.1 Instruct 8B is currently available through 18 API providers that we benchmark and track.
The providers with the lowest time to first token for Llama 3.1 Instruct 8B are Groq (0.15s), FriendliAI (0.23s), and Cerebras (0.25s). Lower latency means faster initial response time.
The most affordable providers for Llama 3.1 Instruct 8B by blended price are DeepInfra (Turbo, FP8) ($0.02 per 1M tokens), Novita ($0.03 per 1M tokens), and DeepInfra ($0.03 per 1M tokens). Blended price uses a 3:1 input to output token ratio.
The providers with the lowest input token pricing for Llama 3.1 Instruct 8B are Nebius Base ($0.02 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 DeepInfra (Turbo, FP8) ($0.03 per 1M output tokens), Novita ($0.05 per 1M output tokens), and DeepInfra ($0.05 per 1M output tokens).
Prices for Llama 3.1 Instruct 8B vary up to 16.8x across providers. The most affordable is DeepInfra (Turbo, FP8) at $0.02 per 1M tokens, while Azure charges $0.38 per 1M tokens.
Output speed for Llama 3.1 Instruct 8B varies significantly across providers. Cerebras is the fastest at 2,490.8 t/s, which is 97.3x faster than Nebius Base at 25.6 t/s.
11 of 18 providers support JSON mode for Llama 3.1 Instruct 8B: Nebius Base, Eigen AI, Groq, Nebius Fast, Weights & Biases, FriendliAI, CompactifAI, SambaNova, DeepInfra (Turbo, FP8), Scaleway, and DeepInfra.
16 of 18 providers support function calling for Llama 3.1 Instruct 8B: Nebius Base, Eigen AI, Databricks, Groq, Cerebras, Nebius Fast, Weights & Biases, Hyperbolic, Amazon, Cloudflare, FriendliAI, CompactifAI, SambaNova, DeepInfra (Turbo, FP8), Scaleway, and DeepInfra.
The best provider for Llama 3.1 Instruct 8B depends on your priorities: Cerebras offers the highest output speed, Groq has the lowest latency, and DeepInfra (Turbo, FP8) 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