Llama 3.3 Instruct 70B API Provider Benchmarking & Analysis
Analysis of API providers for Llama 3.3 Instruct 70B across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. API providers benchmarked include SambaNova, Parasail (FP8), Amazon Bedrock, Groq, Nebius Fast, Nebius Base, Fireworks, FriendliAI, Hyperbolic, Google Vertex, Weights & Biases, Cloudflare, CompactifAI, Databricks, Together.ai Turbo, Lightning AI, Microsoft Azure, Scaleway, DeepInfra (Turbo, FP8), Novita.
Fastest
Groq
SambaNova
Amazon
Google Vertex
CompactifAIOutput speed
Total 20 providers
Lowest Latency
Google VertexGroqCompactifAI
Weights & Biases
FriendliAITime to first token
Total 20 providers
Lowest Price
DeepInfra (Turbo, FP8)
Nebius Base
Novita
Parasail (FP8)
Lightning AIBlended price (per 1M tokens)
Total 20 providers
Llama 3.3 70B is available through 20 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 (298.6 t/s), SambaNova (295.2 t/s), Amazon (169.7 t/s). Speed varies significantly across providers, with a 122% difference between the fastest and slowest.
- For latency, Google Vertex (0.59s), Groq (0.78s), CompactifAI (0.86s) offer the lowest time to first token.
- For pricing, DeepInfra (Turbo, FP8) (0.15), Nebius Base (0.20), Novita (0.20) 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 3.3 70B Providers
Speed vs. Price: Llama 3.3 70B Providers
Speed
Measured by Output Speed (tokens per second)
Output Speed: Llama 3.3 70B Providers
Latency vs. Output Speed: Llama 3.3 70B Providers
Latency
Measured by Time (seconds) to First Token
Time to First Token: Llama 3.3 70B 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 3.3 70B Providers
API Features
Function (Tool) Calling & JSON Mode: Llama 3.3 70B Providers
SambaNova
Groq
Fireworks
Hyperbolic
Cloudflare
Databricks
Together.ai Turbo
Azure
Scaleway
DeepInfra (Turbo, FP8)Context Window: Llama 3.3 70B Providers
Summary Table of Key Comparison Metrics
Frequently Asked Questions
Common questions about Llama 3.3 Instruct 70B providers
Llama 3.3 Instruct 70B is available through 20 API providers: SambaNova, Parasail (FP8), Amazon, Groq, Nebius Fast, Nebius Base, Fireworks, FriendliAI, Hyperbolic, Google Vertex, Weights & Biases, Cloudflare, CompactifAI, Databricks, Together.ai Turbo, Lightning AI, Azure, Scaleway, DeepInfra (Turbo, FP8), and Novita. Each provider offers different performance characteristics and pricing.
Llama 3.3 Instruct 70B is currently available through 20 API providers that we benchmark and track.
The providers with the lowest time to first token for Llama 3.3 Instruct 70B are Google Vertex (0.59s), Groq (0.78s), and CompactifAI (0.86s). Lower latency means faster initial response time.
The most affordable providers for Llama 3.3 Instruct 70B by blended price are DeepInfra (Turbo, FP8) ($0.15 per 1M tokens), Nebius Base ($0.20 per 1M tokens), and Novita ($0.20 per 1M tokens). Blended price uses a 3:1 input to output token ratio.
The providers with the lowest input token pricing for Llama 3.3 Instruct 70B are DeepInfra (Turbo, FP8) ($0.10 per 1M input tokens), Nebius Base ($0.13 per 1M input tokens), and Novita ($0.14 per 1M input tokens).
The providers with the lowest output token pricing for Llama 3.3 Instruct 70B are Parasail (FP8) ($0.28 per 1M output tokens), Lightning AI ($0.30 per 1M output tokens), and DeepInfra (Turbo, FP8) ($0.32 per 1M output tokens).
Prices for Llama 3.3 Instruct 70B vary up to 6.8x across providers. The most affordable is DeepInfra (Turbo, FP8) at $0.15 per 1M tokens, while Scaleway charges $1.05 per 1M tokens.
Output speed for Llama 3.3 Instruct 70B varies significantly across providers. Groq is the fastest at 298.6 t/s, which is 12.3x faster than DeepInfra (Turbo, FP8) at 24.2 t/s.
11 of 20 providers support JSON mode for Llama 3.3 Instruct 70B: SambaNova, Groq, Nebius Fast, Nebius Base, Fireworks, FriendliAI, Google Vertex, Weights & Biases, Together.ai Turbo, Scaleway, and DeepInfra (Turbo, FP8).
19 of 20 providers support function calling for Llama 3.3 Instruct 70B: SambaNova, Parasail (FP8), Amazon, Groq, Nebius Fast, Nebius Base, Fireworks, FriendliAI, Hyperbolic, Google Vertex, Weights & Biases, Cloudflare, Databricks, Together.ai Turbo, Lightning AI, Azure, Scaleway, DeepInfra (Turbo, FP8), and Novita.
The best provider for Llama 3.3 Instruct 70B depends on your priorities: Groq offers the highest output speed, Google Vertex has the lowest latency, and DeepInfra (Turbo, FP8) provides the most competitive pricing.
When choosing a provider for Llama 3.3 Instruct 70B, 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 3.3 Instruct 70B's intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview