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 Results for other workloads are historical and no longer updated.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 release, Llama 3.3 Instruct 70B. We suggest considering it instead.
Llama 3.1 Instruct 70B API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of Llama 3.1 Instruct 70B for your use-case.
Fastest
DeepInfraDeepInfra (Turbo, FP8)Output speed
Total 4 providers
Lowest Latency
DeepInfraDeepInfra (Turbo, FP8)Time to first token
Total 4 providers
Lowest Price
DeepInfraDeepInfra (Turbo, FP8)
Amazon StandardAmazon Latency OptimizedBlended price (per 1M tokens)
Total 4 providers
Llama 3.1 70B is available through 4 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 DeepInfra (41.2 t/s) and DeepInfra (Turbo, FP8) (39.9 t/s).
- For latency, DeepInfra (1.82s) and DeepInfra (Turbo, FP8) (1.96s) offer the lowest time to first token.
- For pricing, DeepInfra (0.40), DeepInfra (Turbo, FP8) (0.40), and Amazon Standard (0.72) offer the lowest blended prices per 1M tokens. Prices vary up to 2.2x across providers.
- DeepInfra stands out as the overall leader, ranking first across all three categories: speed, latency, and pricing.
Pricing
Pricing: Cache Hit, Input, and Output
Cost per Intelligence Index Task
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed: Llama 3.1 Instruct 70B
Time per Intelligence Index Task
Cost per Task vs. Time per Task
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 70B providers
Llama 3.1 Instruct 70B is available through 4 API providers: Amazon Standard, DeepInfra, Amazon Latency Optimized, and DeepInfra (Turbo, FP8). Each provider offers different performance characteristics and pricing.
Llama 3.1 Instruct 70B is currently available through 4 API providers that we benchmark and track.
The fastest providers for Llama 3.1 Instruct 70B by output speed are DeepInfra (41.2 t/s) and DeepInfra (Turbo, FP8) (39.9 t/s). Output speed measures how quickly tokens are generated after the model starts responding.
The providers with the lowest time to first token for Llama 3.1 Instruct 70B are DeepInfra (1.82s) and DeepInfra (Turbo, FP8) (1.96s). Lower latency means faster initial response time.
The most affordable providers for Llama 3.1 Instruct 70B by blended price are DeepInfra ($0.40 per 1M tokens), DeepInfra (Turbo, FP8) ($0.40 per 1M tokens), and Amazon Standard ($0.72 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 70B are DeepInfra ($0.40 per 1M input tokens), DeepInfra (Turbo, FP8) ($0.40 per 1M input tokens), and Amazon Standard ($0.72 per 1M input tokens).
The providers with the lowest output token pricing for Llama 3.1 Instruct 70B are DeepInfra ($0.40 per 1M output tokens), DeepInfra (Turbo, FP8) ($0.40 per 1M output tokens), and Amazon Standard ($0.72 per 1M output tokens).
Prices for Llama 3.1 Instruct 70B vary up to 2.2x across providers. The most affordable is DeepInfra at $0.40 per 1M tokens, while Amazon Latency Optimized charges $0.90 per 1M tokens.
2 of 4 providers support JSON mode for Llama 3.1 Instruct 70B: DeepInfra and DeepInfra (Turbo, FP8).
All 4 providers of Llama 3.1 Instruct 70B support function calling (tool use).
DeepInfra leads across all key metrics for Llama 3.1 Instruct 70B, offering the fastest speed, lowest latency, and most competitive pricing.
When choosing a provider for Llama 3.1 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 3.1 Instruct 70B's intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview